Category Archives: Data Mining
Smart Electric Meter Market Incredible Possibilities, Growth With Industry Study, Detailed Analysis And Forecast To 2029 The Oxford Spokesman – The…
The research and analysis conducted inSmart Electric Meter MarketReport helps clients to predict investment in an emerging market, expansion of market share or success of a new product with the help of market research analysis. This report has been designed in such a way that it provides very evident understanding of the business environment and Smart Electric Meter industry.
Market expectations for likely development openings have been mentioned clearly in this world class Smart Electric Meter Market research report. Competition analysis has been taken into account while preparing this report. A market analysis has turned into a vital piece of every business to settle on smart choices in the organizations which have been viably carried by experienced analysts. This market report provides best solutions for strategy development and implementation depending on clients needs to extract tangible results. Businesses can bring about an absolute knowhow of general market conditions and tendencies with the information and data covered in this Smart Electric Meter Market report.
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Data Bridge Market Research analyses that the smart electric meter market would exhibit a CAGR of 5.83% for the forecast period. Rising demand for smart electric meter by the various end user verticals, increased focus on adoption of renewable energy and rapid increase in electric networks established in various regions are the major factors attributable to the growth of smart electric meter market. Therefore, the smart electric meter market value would climb up to USD 22.16 billion by 2028.
This smart electric meter market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on smart electric meter market contact Data Bridge Market Research for anAnalyst Brief,our team will help you take an informed market decision to achieve market growth.
Smart Electric Meter Market Scope and Market Size
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The countries covered in the smart electric meter market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
Leading Key Players Operating in the Smart Electric Meter Market Includes:
The major players covered in the smart electric meter market report are SAGEMCOM, ABB, Schneider Electric, Siemens, Microchip Technology Inc., wasion group, Landis+Gyr., Itron Inc., Honeywell International Inc., Aclara Technologies LLC., Iskraemeco, d.d., LINYANG Energy, Genus, Networked Energy Services, Holley Technology UK Ltd., OSAKI ELECTRIC CO., LTD., Sensus, Trilliant Holdings Inc., Kamstrup and E.ON UK plc among other domestic and global players. Market share data is available for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC @https://www.databridgemarketresearch.com/toc/?dbmr=global-smart-electric-meter-market
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Research Methodology of Smart Electric Meter Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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Internet of Things (IoT) Testing Market Trends Analysis, Top Manufacturers, Shares, Growth Opportunities, Statistics and Forecast to 2029 The Oxford…
The research and analysis conducted inInternet of Things (IoT) Testing MarketReport helps clients to predict investment in an emerging market, expansion of market share or success of a new product with the help of market research analysis. This report has been designed in such a way that it provides very evident understanding of the business environment and Internet of Things (IoT) Testing industry.
Market expectations for likely development openings have been mentioned clearly in this world class Internet of Things (IoT) Testing Market research report. Competition analysis has been taken into account while preparing this report. A market analysis has turned into a vital piece of every business to settle on smart choices in the organizations which have been viably carried by experienced analysts. This market report provides best solutions for strategy development and implementation depending on clients needs to extract tangible results. Businesses can bring about an absolute knowhow of general market conditions and tendencies with the information and data covered in this Internet of Things (IoT) Testing Market report.
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The internet of things (IoT) testing market is expected to witness market growth at a rate of 33.87% in the forecast period of 2021 to 2028. Data Bridge Market Research report on internet of things (IoT) testing market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the markets growth. The rise in the number of IoT testing service providers is escalating the growth of internet of things (IoT) testing market.
This internet of things (IoT) testing market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on internet of things (IoT) testing market contact Data Bridge Market Research for anAnalyst Brief,our team will help you take an informed market decision to achieve market growth.
Global Internet of Things (IoT) Testing MarketScope and Market Size
The internet of things (IoT) testing market is segmented on the basis of testing types, services, and application. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
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The countries covered in the internet of things (IoT) testing market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
Leading Key Players Operating in the Internet of Things (IoT) Testing Market Includes:
The major players covered in the internet of things (IoT) testing market report are Praetorian Group, Inc., Trustwave Holdings, Inc., Novacoast, Inc., Apica, SAKSOFT, RapidValue Solutions,Happiest Minds, HCL Technologies Limited, Tata Consultancy Services Limited, SmartBear Software, Rapid7, Capgemini., Infosys Limited, Cognizant, Ixia, Keysight Technologies, AFour Technologies, Biz4Group, HQSoftware, IQ DIRECT INC., among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC @https://www.databridgemarketresearch.com/toc/?dbmr=global-internet-of-things-iot-testing-market
Reasons to Buy:
Research Methodology of Internet of Things (IoT) Testing Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Key Insights in the report:
Inquire Before Buying This ResearchReport@https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-internet-of-things-iot-testing-market
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The Dark History of Medicare Privatization – The American Prospect
Rep. Pramila Jayapal has called it the biggest threat to Medicare youve never even heard of. Its known as Direct Contracting (DC), a program concocted by the Trump administration and not yet ended by the Biden administration to fully privatize Medicare.
DC is patterned after Medicare Advantage, the publicly financed, privately owned, hugely profitable version of Medicare now enrolling 26 million people at an annual cost of $343 billion. Simply put, DC is Medicare Advantage (MA) on steroids.
The growth of Medicare Advantage is a 35-year-long saga of a program conceived as a cheaper, better Medicare transformed into a behemoth that has not saved one cent nor produced better outcomes. Yet MA has beaten back every attempt to make it accountable for its cost and care. Like the Hydra, each victory adds more heft.
The politics of MA are complicated, not merely because, like the oil and gas industry, it generates enough money for large insurance companies to convert $150 million of profits into campaign contributions. By design, Medicare Advantage covers the costs of health care that are not covered at all or only partially paid by Medicare. Its 26 million enrollees are a silent majority, potentially available to threaten any elected official brave enough to challenge the program. But that leaves the public with worse health coverage and a model of privatization that could prove disastrous.
Medicares sole purpose in 1965 was to extend health coverage to the elderly by paying their doctor and hospital bills. In a Faustian bargain, Congress sacrificed Medicares regulatory role in return for the support of the hospital-operated Blue Cross Association and physician-owned Blue Shield plans, which set payment policies. The only constraint, medical necessity, was defined as any treatment ordered by a licensed doctor.
The actuary to the House Ways and Means Committee had confidently predicted an initial $2.2 billion price tag, increasing over 25 years to $12.4 billion in 1990. Instead, the initial price doubled by 1969 and reached $12.4 billion in 1973, just four years later.
In 1970, pediatrician Paul Ellwood, the apostle of managed care, presented a solution to reduce health care spending that he dubbed a health maintenance organization (HMO). Elwood was no fan of Medicare, famously calling it a crappy insurance policy. He believed private, prepaid, integrated physician practices could be incentivized to provide better care at less cost. At the time, nonprofit HMOs like Kaiser and Group Health had an admirable record of lower cost and better outcomes than traditional fee-for-service health care.
Then-President Nixon shared Ellwoods enthusiasm, but with a different agenda. Heres a transcript of a taped conversation between Nixon and John Ehrlichman, his chief domestic-policy adviser.
Ehrlichman: Edgar Kaiser is running his Permanente deal for profit the reason he can do it I had Edgar Kaiser come in talk to me about this and I went into it in some depth. All the incentives are toward less medical care, because
President Nixon: [Unclear.]
Ehrlichman: the less care they give them, the more money they make.
President Nixon: Fine.
Nixon was later presented with a plan, which became the HMO Act of 1973, to reduce federal spending in a manner that promised to be undetectable to participants. The alternatives to HMOs as a cost-containment strategy were politically unpalatableeither reducing benefits or reimposing price controls. The HMO program promised no blowback from beneficiaries or providers, at a time when the administration was struggling to gain leverage over inflation. HMOs fell out of favor due to narrow provider networks and instances of denied care. But it led to a subtler alternative: Medicare Advantage.
Unlike the Defense Departments TRICARE and the Veterans Health Administration, Medicare is not a public health care system. It is public financing that relies on a joint public-private insurance arrangement. The rules are set by the Centers for Medicare & Medicaid Services (CMS) and Congress, and the claims processed by insurance companies under contract to the federal government. Money from the Medicare Trust Fund, taxes, and beneficiary premiums secure services from the private U.S. health care system.
Medicare Advantage changes one critical element: the intermediary between the money and the services. Medicare still pays, but with MA it turns over all parts of the insurance function, including enforcing the rules for medical necessity and deciding how much to pay providers, to private companies. Retirees can choose from 3,834 plans offered by nine different companies in 2022. Four in ten Medicare beneficiaries have joined. Humana and UnitedHealthcare own half the MA plans.
Traditional Medicare leaves lots of holes that retirees must otherwise fill out of their own pockets. It does not cover vision, hearing, dental, or long-term care. Beneficiaries are responsible for monthly premiums, deductibles, and coinsurance (known as cost-sharing). And unlike commercial insurance, it has no cap on out-of-pocket spending. The extra cost added up to $6,509 per person in 2018, according to an AARP-commissioned study.
Twenty-six million people find MA a deal they cannot refuse. They gave up their hard-earned red, white, and blue Medicare card for one supplied by Humana, UnitedHealth, Anthem, Aetna, Kaiser, or another company. Like HMOs, the plans offer less freedom of choice, with limited provider networks and prior-approval requirements in exchange for sharply reduced and capped out-of-pocket expenses, and additional benefits like gym memberships.
Most recent retirees do not find the restrictions new or particularly burdensome. Anyone previously insured through an employer health plan dealt with very similar constraints.
The MA profit-making formula is simple: get a large sum of money from the Feds, spend less than traditional Medicare, give some of the excess to beneficiaries, and pocket the difference. Over the last 12 years (20092021), Medicare paid the MA plans $140 billion more than would have been spent if the same people stayed in Medicare. Put another way, Medicare during these years would have saved enough to pay for the enhanced Child Tax Credit in 2022, and then some.
MA plans follow the design of commercial insurance, with the beneficiary choosing between either an HMO, with a closed provider panel, or a PPO, which rewards participants who stay in its provider network. Either way, the insurance company constructs reimbursements and utilization checks to spend less than traditional Medicare.
MA companies have perfected the art of denying claims by requiring preauthorization of many services, especially expensive ones. For example, doctors treating UAW retirees for orthopedic injuries, a frequent legacy of assembly line work, must get MA prior approval for 246 specific procedures, or else the plan does not guarantee payment. MA plans deny 4 percent of claims for prior authorization and 8 percent for post-service payment requests. Very few people appeal. When they do, the HHS Office of Inspector General found that denials were reversed more than three-quarters of the time.
Just to see how it would fall out, Aaron Schwartz and colleagues at the University of Pennsylvania reprocessed 6.5 million traditional Medicare Part B claims as if they were subject to MA prior authorization. Approximately one million might have been denied, accounting for 25 percent of Part B spending.
Our study found that health care spending for enrollees in Medicare Advantage plans is 10 to 25 percent lower than for comparable enrollees in traditional Medicare, said Amy Finkelstein, an MIT economist and one of the authors of an influential 2017 paper. Insurance companies earned gross margins of $2,256 per enrollee in 2020, more than double what they made in the group market.
Spending less would make perfect sense if MA enrollees were healthier. They are not. Medicare Advantage enrollees do not differ significantly from beneficiaries in traditional Medicare, the Commonwealth Fund reported in October, in terms of their age, race, income, chronic conditions, satisfaction with care, or access to care. Health outcomes are similarly no better or worse.
Over the past 30 years, laws were passed and regulations issued to contain costs and protect MA beneficiary access to care. Managed-care sponsors found ways around the rules.
Assuming HMOs to be more efficient, in 1985 the government set the payment rate at 95 percent of what would otherwise have been spent in Medicare. The plans needed to match traditional Medicare benefits but could make their own arrangements with hospitals, doctors, and labs, and keep the difference.
With the freedom to choose how much they paid out and where and whom they enrolled, the companies scammed the program by finding healthier retirees living in counties where rates were high. No plan operating in any U.S. county enrolled a sicker-than-average group of elderly people, according to a comprehensive Mathematica study commissioned by the Reagan administration. Despite this, expenditures for MA were approximately 5.7 percent higher than they would have been for traditional Medicare, despite getting 5 percent less from the feds.
The Clinton administration tried again to save money with HMOs. We think that payment rates that are 90 percent, rather than the current 95 percent, of community fee-for-service rates are appropriate, said Bruce Vladeck, Clintons head of the Health Care Financing Administration (HCFA). He wasnt able to go that far, but significant cutbacks were made in 1997s Balanced Budget Act (BBA).
The BBA established a national growth cap and, under threat of penalty, forced the HMOs to stop cherry-picking. Since health care costs were increasing faster than the cap, and the plans had less ability to exploit healthier enrollees, the BBA effectively cut HMO margins. But the howl from the private plans was so loud that Congress subsequently loosened the buckle in 1999 and 2000. Even with the changes, BBA managed care did not save Medicare money. Plans were still outpacing traditional Medicare costs by 2 percent.
George W. Bushs Medicare Modernization Act (MMA) removed the BBA caps and increased funding, adding millions to MA payments. The price tag for excess spending during the first decade of the 21st century was $150 billion.
We, right now, give $15 billion every year as subsidies to private insurers under the Medicare system. Doesnt work any better through the private insurers, Sen. Barack Obama said in 2008, during the first presidential debate with Sen. John McCain. They just skim off $15 billion. That was a giveaway and part of the reason is because lobbyists are able to shape how Medicare works. Candidate Obama pledged to make MA no more costly than traditional Medicare.
By tweaking some elements, the Affordable Care Act (ACA), according to the Congressional Budget Office, would reset MA spending to no more than 101 percent of traditional Medicare. The result was to be an estimated $136 billion saved over ten years.
Just two years later, the plans got it all back. The insurance industry chalked up one of its greatest political victories in recent memory on Monday, Politico reported on April 3, 2013, as the Obama administration reversed course on a proposal to cut Medicare Advantage rates. With a sleight of hand so obvious that CMSs actuary publicly repudiated the move (conflicts with the Offices professional judgment), CMS increased MA rates by 3.3 percent, rather than cutting them by 2.3 percent.
In March 2021, MedPAC, an independent Medicare monitor that reports to Congress, reviewed the impact of the ACA. It found that aggregate plan payments under the ACA were similar to [traditional Medicare] levels for only one year before rising above.
No one even mentions MA as a cost-containment strategy anymore. The larger and richer the plans have become, the less leverage the feds have to regulate the industry. While the funding still comes from the U.S. Treasury, dispersed under the aegis of Congress, most of the power has passed to the companies.
Insurance companies have consistently found innovative ways to protect their bottom lines. A major one involves claiming MA enrollees are sick, even if they arent.
Doctors and hospitals in MA networks are frequently offered extra payments simply to record every ailment, whether treating it or not (a practice known as risk coding). In an 8,000-word article in respected health policy journal Health Affairs, Drs. Don Berwick and Richard Gilfillan detail how upcoding affords almost unlimited opportunities to manipulate the system to make money. They present the hypothetical case of Ms. Jones, a 72-year-old MA enrollee being treated for type 2 diabetes and congestive heart failure. With a risk adjustment score of 1.029, the annual payment for her is $9,000. Her physicians are paid extra to code all her ailments. Now her scorecard adds morbid obesity, major depression, COPD, and a pressure ulcer on her right heel. With no additional medical care or cost, the MA company is now paid $32,000, because Ms. Joness risk score totals 3.633.
As a result of this upcoding, Medicare gave MA plans $9 billion more in 2019 than it would have if the same beneficiaries had enrolled in traditional Medicare.
Another way MA reaps more funds is through star bonus payments. CMS began publishing evaluations of MA plans in 2009 to assist beneficiaries in plan selection. Numerical values were assigned to variables measuring care processes, outcome, patient experience, and access. The numbers are summarized on a scale of five stars.
In the original star publication, 1 in 7 plans scored four or 4.5 stars, and none were awarded five. For the 2022 plan year, 7 out of 10 received four-plus stars and 16 percent of plans were given fives. Is there improved quality, or teaching to the test?
MA companies began paying more attention to the star variables after the ACA anointed the system as a quality control mechanism and authorized bonuses based on stars. Critically, bonus payments are not budget-neutral. The more plans that qualify, the more the feds spend. MedPAC estimates that bonus payouts added about $6 billion to the 2019 MA bill.
Do bonus payments result in better care? The answer is no. Under the headline The Medicare Advantage Quality Bonus Program Has Not Improved Plan Quality, University of Michigan researchers compared four million MA claims to the same number of commercial insurance claims. [T]hese results suggest that the quality bonus program did not produce the intended improvement in overall quality performance of MA plans.
A lot of the new capital is moving into setting up new Medicare Advantage plans because theyre growing rapidly, and the future is bright, Peter Orszag, CEO of Financial Advisory at investment firm Lazard and former Obama OMB administrator, told Business Insider. The possibility for payouts like the one for Ms. Jones has lured hedge funds and venture capitalists to invest in data mining companies and care aggregators, which are developing new ways to maximize MAs profitable deals. Berwick and Gilfillan found investors spent $50 billion to buy into MA-focused firms in a recent 18 months.
Direct contracting would privatize the remainder of traditional Medicare. Drawing on the MA experience, Direct Contracting Entities (DCEs) would serve as intermediaries between traditional Medicare beneficiaries and their medical-care providers. The DCE would receive an MA-like monthly payment for a specific population. It would make deals with networks of providers, manage beneficiary care and costs, and pay the bills, while keeping the difference. Medicares only role would be as banker.
In December 2021, CMS reiterated its invitation to organizations that currently operate in Medicare Advantage to become DCEs, targeting the very MA insurers and investor-controlled provider firms that are driving MA overpayments. One such firm, Oak Street, a for-profit organizer of MA providers, labeled MA as its core market and direct contracting as its opportunity in a November 2021 corporate presentation.
While the Biden administration put a halt to the most extreme form of direct contracting, it has moved ahead with two others. Fifty-three bidders have been designated in the first class of DCEs. They include 28 investor-controlled plans including Oak Street, six insurers, and 19 health care providerowned companies. The investor and insurer DCEs will be operating in 38 states and have access to 84 percent of all beneficiaries.
Many on Wall Street are licking their chops. Clover, a 50,000-member, San Franciscobased MA plan, expects to harvest a direct-contracting bonanza large enough to justify its $1.2 billion IPO. HHS senior official Liz Fowler (an architect of the Affordable Care Act) projects the transition of all traditional Medicare to DC to be complete by 2030.
According to the Biden administration, Direct Contracting will facilitate the next evolution of risk-sharing arrangements to produce value and high-quality health care. Berwick and Gilfillan believe that the Direct Contracting model seems to have ignored the lessons learned from the experience of MA.
One of the principal lessons learned by private MA is how managing care is so easily morphed into managing costs, and how much excess revenue that produces. The private Medicare companies have succeeded in getting the feds to turn over more and more to them while obliterating the notion that HMOs would save money or improve care. Their power to extend their reach to all $880 billion in Medicare spending is embedded in the program itself. The more money and beneficiaries they control, the more juice they have to control more.
Last fall, 13 U.S. senators (eight Democrats and five Republicans) sent a letter promising to stand ready to protect MA from payments cuts. The letter was part of a long stream of such letters ritualistically issued by lawmakers at the urging of the industry, every time anyone announces consideration of MA cost control. This latest version of the pledge was precipitated by a draft of the Build Back Better Act that would include hearing, vision, and dental benefits in the regular Medicare menu for the first time, threatening one of the main selling points of MA.
The campaign against the new benefits was intense and a little weird. AHIP, the insurance industry lobbying group, stated that adding these services could negatively affect the benefits available to MA recipients, because it might lead to a cut in the payments made to MA plans. AHIPs press release stated it would be bad for all seniors, even though all seniors are not in MA plans. Politico quoted an industry insider describing a recent $2.6 million ad campaign against the new Medicare benefits. We know members are already telling leadership: We cant take attack ads saying were cutting Medicare. They know the public isnt going to distinguish between the private and public pieces of it.
What the senators and lobbyists understand is that MA depends on the threat of an uprising of unhappy seniors. Its a potent terror. Some electeds are swayed by campaign contributions. But these would matter very little without the potential mobilization of 64 million beneficiaries, their concerned children, and grandchildren.
The experts have proposed sophisticated technical fixes to remedy MAs overpayments. It might work, as the Balanced Budget Act and the ACA did, for a while. The Department of Justice has filed cases against such large MA providers as Kaiser, United, and Anthem for submitting false risk adjustment claims. The Justice Department has even opened an inquiry into Oak Streets practices.
But neither more regulation nor billion-dollar fines will suffice. The history of the MA dance shows that by the time the music ends, the private partner has swept the public one off her feet. Hes taken control over every step.
To put a stop to MAs distortions and its systematic theft would require a campaign to make Medicare a more public health insurer. From the start, it ceded significant financial authority to private hospitals, doctors, pharmaceutical, and insurance companies. The more beneficiaries and money handed over to MA, the greater its power to resist. The ascendency of DC is the latest and most serious warning sign that the private profit-maximizers are close to victory. Nothing short of full public control can keep that from happening.
Protection of public Medicare requires that its beneficiaries be offered a better way to get affordable health care. I feel guilty that my enrollment in a UnitedHealthcare MA plan contributes to that companys money and power. Yet I am on MA because without it, Medicare is a very risky proposition. I could be impoverished trying to pay for my health care. MA is the only plan I can afford.
History shows that the federal governments attempt to harness the perceived benefits of managed care to Medicare by attempting to separate for-profit entities from profit-maximizing behavior has failed. Instead of throwing more money at MA to reform it, trying to cut MA payments, or regulating, perhaps the solution is starving the beast. With reduced cost-sharing and service expansion, people would have less incentive to enroll in MA. The fewer beneficiaries, the less money paid out, the less power.
A campaign to improve Medicare might be the only political avenue open to those who want to save it.
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The Dark History of Medicare Privatization - The American Prospect
Ghostbots, the Quest for Digital Immortality and the Law – JURIST
Mauricio Figueroa, Ph.D. Candidate at Newcastle University, Law School in United Kingdom discusses the impact that ghostbots, a recent innovation seeking to establish digital immortality, have on the law
Interacting with the dead is no longer science fiction. Digital technologies have evolved to the extent that they can beand are being usedto emulate the dead. During the last five years, media reports recount efforts of people who have tried and developed, with different degrees of success, chatbots based on a deceased persons digital data: ghostbots.
Just to name some interesting examples, in Washington State, data scientist Muhammad Aurangzeb Ahmad developed a ghostbot out of his deceased fathers data, so his children could talk to their grandfather. Elsewhere in the country, in California, James Vlahos also developed a ghostbot based on his deceased fathers voice notes, messages and pictures, dadbotas he refers to it. However, Vlahos moved one step forward and founded his own company, HereAfter AI, that would allow users to have conversations with virtual representations of loved ones, so everybody could have a ghostbot. By December 2021, HereAfter AI launched a YouTube video advertising this new product, with plans that start from USD $39 a year.
Having that said, many readers might recall the Black Mirror episode Be Right Back, where a widower attempts to bring his beloved husband back from the dead thanks to an online service which data-mines digital information of the deceased, such as messages and social media profiles. Edwards and Harbinja have conducted a comprehensive legal analysis on what happens to our digital data after we die andmore recently and based on the hypothetical scenario that Be Right Back sets forththe complexities of digital avatars of the deceased in terms of legal regimes, applicable norms and possible rights that would come into question.
They analyzed different legal issues from the American and EU Law perspective, such as access, management and ownership of digital remains (that is, pictures, videos, messages, profiles, locations, and so forth) and who can data-mine that information to create a digital avatar (ghostbot) of someone who has died. They also elaborate on personality rights and its possible implications for the dead, such as using the name, voice and likeness of the deceased.
However, the recent move posed by HereAfter AI (which was preceded by Eternime) may challenge the legal analysis introduced by existing literature on ghostbots. This is because, as opposed to the Be Right Back ghostbot, HereAfter AI products are based on consent:
The subject signs an agreement with HereAfter AI prior to their death, as opposed to having their information data mined by a third company without any specific consent for such a purpose; andThe subject records and uploads their own photos, chats and voice notes to the HereAfter AI system, which will be used for the development of the ghostbot. That is, HereAfter AI is not necessarily collecting information from other platforms, such as Facebook/Meta or Google.
The consent given by the subject for the explicit purpose of developing their ghostbot may override certain legal questions of privacy law, contract law (in terms of access and management of digital data) and personality rights. However, certain issues are still to be discussed: commodification and responsibility.
It is still unclear whether that ghostbot can be altered to advertize certain products with the people it interacts with. For example, if the ghostbot is based on a deceased who was a smoker or coffee drinker, can it be used to disseminate advertisements and marketing products for a particular brand of cigarettes or coffee? Or what would happen if it were then used to disseminate certain marketing products which were not related to the deceaseds features and likes? Law at this point is not clear and the internal ethics code may seem to be the only feasible solution.
HereAfter AI CEO says the company is not planning to monetize the ghostbots and the information stored for data mining and marketing. The truth is that this is only a set of good intentions, and it is well explored that the XXI century has brought a new economic logic where the market would not hesitate to use any means to modify our behavior. As Shoshana Zuboff explains, every piece of information is datafied, abstracted, aggregated, analyzed, packaged, sold, further analyzed and sold again [to produce] rewards and punishments aimed at modifying and commoditizing behavior for profit.
In that regard, we need to reflect what is going to be the role of law in framing or preventing any kind of abuse, especially when the traditional theory of human rights flourishes the living over the dead. It seems that digital technologies have changed various parts of the equation to the extent that the living and the dead are merging into a new context never seen before. Information is now produced, recorded, copied, shared, identified and sold as never before. The existing legal categories and institutions may be insufficient to challenge any abuse regarding the commodification of personality traits in ghostbots, but there must be some kind of opportunity for the law to evolve and take into consideration the limits of the market and the implications of post-mortem privacy.
The other element which needs a particular analysis is the issue of harm and responsibility. What happens when the ghostbot discloses information with the living that may be harmful, things that the living possibly did not want to know: for example, they were thinking of filing for divorce, they discovered they were adopted, etc. Also, what would happen in the event that the ghostbot, as opposed to alleviating grief, may cause dependence and frustration, preventing the living from moving on? Who, if any, should be held responsible? Again, this is an issue where Artificial Intelligence (AI) Law and contract law should come into play, but it does not seem a straight-forward answer.
The launch of HereAfter AI is disruptive, to the extent that it brings to a wider audience the opportunity to buy a ticket for a digital afterlife, that is, to be a ghostbot once they are physically gone. The company was actually founded by someone who interacts with a ghostbot himself and now is seeing a new opportunity to bring that experience into the market and to profit out of it. This new type of business may soften even more the frontiers between the dead and the living, a division which has increasingly been blurred in the past two decades with the advent of social media platforms. It is also an opportunity for legal reflection and analysis, since it may also indicate that it is time for the law to evolve and cope with this new reality, our reality.
Mauricio Figueroa is a Ph.D. Candidate at Newcastle University, Law School, United Kingdom. He holds an LL.M. from the Buchmann Faculty of Law, Tel Aviv University. He tweets as @mfiguerres_
Suggested citation: Mauricio Figueroa, Ghostbots, the Quest for Digital Immortality & the Law, JURIST Academic Commentary, January 18, 2022, https://www.jurist.org/commentary/2022/01/Mauricio-Figueroa-ghostbots-digital-immortality-law/.
This article was prepared for publication by Esther Chihaavi, a JURIST staff editor. Please direct any questions or comments to her at commentary@jurist.org
Opinions expressed in JURIST Commentary are the sole responsibility of the author and do not necessarily reflect the views of JURIST's editors, staff, donors or the University of Pittsburgh.
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Ghostbots, the Quest for Digital Immortality and the Law - JURIST
Filings buzz in the mining industry: 25% decrease in digitalisation mentions in Q3 of 2021 – Mining Technology
Mentions of digitalisation within the filings of companies in the mining industry fell 25% between the second and third quarters of 2021.
In total, the frequency of sentences related to digitalisation between October 2020 and September 2021 was 480% higher than in 2016 when GlobalData, from whom our data for this article is taken, first began to track the key issues referred to in company filings.
When companies in the mining industry publish annual and quarterly reports, ESG reports, and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Digitalisation is one of these topics companies that excel and invest in these areas are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.
To assess whether digitalization is featuring more in the summaries and strategies of companies in the mining industry, two measures were calculated. Firstly, we looked at the percentage of companies which have mentioned digitalization at least once in filings during the past twelve months this was 63% compared to 31% in 2016. Secondly, we calculated the percentage of total analysed sentences that referred to digitalisation.
Of the 50 biggest employers in the mining industry, Metalurgica Gerdau SA was the company which referred to digitalisation the most between October 2020 and September 2021. GlobalData identified 33 digitalisation-related sentences in the Brazil-based company's filings 3.2% of all sentences. Tata Steel Ltd mentioned digitalisation the second most the issue was referred to in 1.2% of sentences in the company's filings. Other top employers with high digitalisation mentions included MMC Norilsk Nickel, Severstal, and Sandvik AB.
Across all companies in the mining industry, the filing published in the third quarter of 2021 that exhibited the greatest focus on digitalisation came from Metalurgica Gerdau SA. Of the document's 1,030 sentences, 33 (3.2%) referred to digitalisation.
This analysis provides an approximate indication of which companies are focusing on digitalisation and how important the issue is considered within the mining industry, but it also has limitations and should be interpreted carefully. For example, a company mentioning digitalisation more regularly is not necessarily proof that they are utilising new techniques or prioritising the issue, nor does it indicate whether the company's ventures into digitalisation have been successes or failures.
In the last quarter, companies in the mining industry based in Eastern Europe were most likely to mention digitalization with 0.58% of sentences in company filings referring to the issue. In contrast, companies with their headquarters in the US mentioned digitalisation in just 0.07% of sentences.
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Datasea Announces Research Partnerships Focus on Acoustic Intelligence and Releases Chinas Inaugural White Paper to Provide Technology Insights and…
BEIJING, Jan. 18, 2022 (GLOBE NEWSWIRE) -- Datasea Inc. (NASDAQ: DTSS, the "Company" or Datasea), a digital technology company incorporated in Nevada in 2014 and engaged in three converging and innovative business segments: 5G messaging, acoustic intelligence and smart city in China, today announced that it has entered into partnerships with Chinese leading research institutes to unlock the full potential of acoustic intelligence in the commercial applications. The Company released Chinas inaugural white paper with co-authors, Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology to uncover detailed facts and compelling analyses of the acoustic-intelligence technology, commercial applications, and the industry outlook.
Datasea commits to tap acoustic intelligence's full business potential and wields acoustic intelligence across industries in meaningful ways. Datasea has entered into partnerships with leading institutions in China with the aim of 1) promoting the formulation of acoustic intelligence technology standards and expanding the leadership in the industry; 2) building an ecosystem to expedite research and development of new products; and 3) enhancing research capability and talent retention for the Company in the long run. Datasea's research partners include Acoustics Research and Communication Laboratory of the Chinese Academy of Sciences, the Cloud Computing and Big Data Institute of the China Academy of Information and Communications Technology, and Beijing Union University.
In the white paper entitled "Industry Development and Technology Application of Acoustic Intelligence in China," Datasea dives deeply into the current and future use cases of acoustic intelligence in China and outlines the introduction of acoustic intelligence, technology development, commercial applications and industry outlook to provide technical insights and guide industry development. Some topics in the white paper are summarized as follows:
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What is acoustic intelligence? Acoustic intelligence is a new field that integrates fundamental acoustic theory with artificial intelligence to gather and process acoustic data and solve problems.
Acoustic-intelligence industry in China. The supply chain of the acoustic-intelligence industry involves acoustic hardware equipment, acoustic-intelligence tech services and scenario-based solutions. Acoustic intelligence is rapidly incorporated into industries like environmental and medical care and becomes the driving force of industrial transformation and upgrade. According to the "Feasibility Study Report on Chinas Acoustic Device Market 2021-2025" released by Newsijie Research Center, China's acoustic device market is expected to grow at a compound annual growth rate of 15.6% and reach 46 billion yuan (USD 7.23 billion) by 2025. Acoustic intelligence is expected be a fast-expanding market with great potential in the next five years.
Acoustic-intelligence applications. There can be numerous real-world applications with acoustic-intelligence systems. The adoption of acoustic intelligence is in three layers: terminal, technology, and application. The terminal layer is mainly responsible for data collection and processing, and the acoustic intelligence is integrated with the sound acquisition chips and sensors. The technology layer is primarily responsible for data mining, learning and intelligent processing, and the acoustic intelligence featured in acoustic phonetics, environmental acoustics, and voiceprint recognition. The application layer mainly realizes the integration and development of acoustic intelligence at the industry level, and can serve both institutional and individual end users. Top applications include smart city, transportation, environment protection, manufacturing, healthcare, medical beauty, agriculture, smart homes, among others.
Future of acoustic intelligence. China's acoustic-intelligent industry is under rapid expansion. In the future, acoustic intelligence will be more mature with extensive applications. With the integration of acoustic intelligence, scenario-based solutions will be enhanced. Technological progress will unlock tremendous business opportunities and potentials in real economy.
To date, Datasea has completed the technology development, product design, supply chain management and marketing plans for a series of acoustic hardware products in six major industries and application areas, including but not limited to healthcare, medical beauty, environmental protection and agriculture. The three flagship products, including Tianer voice recognition alarm, ultrasonic sound sterilization and antivirus equipment, and brain refreshing acoustic equipment are expected to be introduced to the market in fiscal year of 2022.
"At Datasea, we firmly believe in using innovation to provide convenience and choice to customers and commit to staying ahead of the emerging market trends. We are delighted to be joining forces with leading research institutions and match our innovative drive with the highest standards of product research and quality, said Datasea CEO, Zhixin Liu. Datasea's white paper conducts a systematic forecast on acoustic intelligence evolution and adoption, demonstrating our capability to disrupt and accelerate applications. Intending to illustrate the future possibilities held by acoustic intelligence, the paper closes with Dataseas future vision on development of mainstream adoption.
The white paper entitled Industry Development and Technology Application of Acoustic Intelligence in China can be downloaded from the Datasea site here: http://www.dataseainc.com/templets/default/WhitePaper/20220113.pdf
About Datasea Inc. Datasea Inc., through its variable interest entity, Shuhai Information Technology Co., Ltd., a digital technology company in China, engages in three converging and innovative industries: 5G messaging, acoustic intelligence and smart city. Datasea leverages facial recognition technology and other visual intelligence algorithms, combined with cutting-edge acoustic and non-visual intelligence algorithms, to provide smart city solutions that meet the security needs of residential communities, schools and commercial enterprises. Most recently, in response to the growing utilization of 5G technologies and the overall initiative to utilize Dataseas technology capabilities to expand business coverage and revenue resources, Datasea also strategically expands business coverage to 5G messaging and smart payment solutions. Datasea has been certified as one of the High Tech Enterprises (jointly issued by the Beijing Science and Technology Commission, Beijing Finance Bureau, Beijing State Taxation Bureau and Beijing Local Taxation Bureau) and one of the Zhongguancun High Tech Enterprises (issued by the Zhongguancun Science Park Administrative Committee) in recognition of the Companys achievement in high-technology products. For additional company information, please visit: http://www.dataseainc.com. Datasea routinely posts important information on its website.
Cautionary Note Regarding Forward-Looking Statements This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934 and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will", "expects", "anticipates", "future", "intends", "plans", "believes", "estimates", "target", "going forward", "outlook," objective and similar terms. Such statements are based upon management's current expectations and current market and operating conditions, and relate to events that involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and which are beyond Datasea's control. They may cause Datasea's actual results, performance or achievements (including the RMB/USD value of its anticipated benefit to Datasea as described herein) to differ materially and in an adverse manner from anticipated results contained or implied in the forward-looking statements. Further information regarding these and other risks, uncertainties or factors is included in Datasea's filings with the U.S. Securities and Exchange Commission, which are available at http://www.sec.gov. Datasea does not undertake any obligation to update any forward-looking statement as a result of new information, future events or otherwise, except as required under law.
Datasea investor and media Contact:International Elite Capital Inc. Annabelle ZhangTelephone: +1(646) 866-7989 Email: datasea@iecapitalusa.com
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In bad news for US cloud services, Austrian websites use of Google Analytics found to breach GDPR – TechCrunch
A decision by Austrias data protection watchdog upholding a complaint against a website related to its use of Google Analytics does not bode well for use of US cloud services in Europe.
The decision raises a big red flag over routine use of tools that require transferring Europeans personal data to the US for processing with the watchdog finding that IP address and identifiers in cookie data are the personal data of site visitors, meaning these transfers fall under the purview of EU data protection law.
In this specific case, an IP address anonymization function had not been properly implemented on the website. But, regardless of that technical wrinkle, the regulator found IP address data to be personal data given the potential for it to be combined like a puzzle piece with other digital data to identify a visitor.
Consequently the Austrian DPA found that the website in question a health focused site called netdoktor.at, which had been exporting visitors data to the US as a result of implementing Google Analytics had violated Chapter V of the EUs General Data Protection Regulation (GDPR), which deals with data transfers out of the bloc.
US intelligence services use certain online identifiers (such as the IP address or unique identification numbers) as a starting point for the surveillance of individuals, the regulator notes in the decision [via a machine translation of the German language text], adding: In particular, it cannot be excluded that these intelligence services have already collected information with the help of which the data transmitted here can be traced back to the person of the complainant.
In reaching its conclusion, the regulator assessed various measures Google said it had implemented to protect the data in the US such as encryption at rest in its data centers; or its claim that the data must be considered as pseudonymous but did not find sufficient safeguards had been put in place to effectively block US intelligence services from accessing the data, as required to meet the GDPRs standard.
As long as the second respondent himself [i.e. Google] has the possibility to access data in plain text, the technical measures invoked cannot be considered effective in the sense of the above considerations, it notes at one point, dismissing the type of encryption used as inadequate protection.
Austrias regulator also quotes earlier guidance from German DPAs to back up its dismissal of Googles pseudonymous claim noting that this states:
the use of IP addresses, cookie IDs, advertising IDs, unique user IDs or other identifiers to (re)identify users do not constitute appropriate safeguards to comply with data protection principles or to safeguard the rights of data subjects. This is because, unlike in cases where data is pseudonymised in order to disguise or delete the identifying data so that the data subjects can no longer be addressed, IDs or identifiers are used to make the individuals distinguishable and addressable. Consequently, there is no protective effect. They are therefore not pseudonymisations within the meaning of Recital 28, which reduce the risks for the data subjects and assist data controllers and processors in complying with their data protection obligations.
The DPAs wholesale dismissal of any legally relevant impact of the bundle of aforementioned Technical and Organizational Measures (such as standard encryption) which were cited by Google to try to fend off the complaint is significant because such claims are the prevailing tactic used by US-based cloud giants to try to massage compliance and ensure EU-to-US data transfers continue so they can continue business as usual.
So if this tactic is getting called out here, as a result of a single websites use of Google Analytics, it can and will be sanctioned by EU regulators elsewhere. After all, Google Analytics is everywhere online.
(See also the extensive list of extremely standard measures cited by Facebook in an internal assessment of its EU-to-US data transfers in which it too tries to claim compliance with EU law, per an earlier document reveal.)
The complaint back story here is that back in August 2020 European privacy campaign group noyb filed a full 101 complaints with DPAs across the bloc targeting websites with regional operators that it had identified as sending data to the US via Google Analytics and/or Facebook Connect integrations.
Use of such analytics tools may seem intensely normal but legally speaking, in the EU its anything but because EU-to-US transfers of personal data have been clouded in legal uncertainty for years.
The underlying conflict boils down to a clash between European privacy rights and US surveillance law as the latter affords foreigners zero rights over how their data is scooped up and snooped on, nor any route to legal redress for whatever happens to their information when its in the US, making it extremely difficult for exported EU data to get the necessary standard of essentially equivalent protection that it gets at home when its abroad.
To radically simplify: EU law says European levels of protection must travel with data. While US law says were taking your data; were not telling you what were doing; and you cant do anything about it anyway, sucker!.
US cloud providers that are subject to Section 702 of the Foreign Intelligence Surveillance Act (FISA) are all in the frame which takes in a broad sweep of tech giants, including Google and Facebook, since this law applies broadly to electronic communications services.
While Executive Order 12,333, a Reagan era mandate thats also relevant as it also expanded intelligence agency powers to acquire data, is thought to target vulnerabilities in telecoms infrastructure.
The EU-US legal clash between privacy and surveillance dates back almost a decade at this point.
It was catalyized by the 2013 Snowden disclosures which revealed the extent of US government mass surveillance programs and led, back in 2015, to the EUs Court of Justice to invalidate the Safe Harbor arrangement between the bloc and the US on the grounds that EU data could no longer be considered safe when it went over the pond.
And whereas Safe Harbor had stood for around 15 years, its hastily agreed replacement the EU-US Privacy Shield lasted just four. So the lifespan of commercially minded European Commission decisions seeking to grease transatlantic data flows in spite of the massive privacy risks has been shrinking radically.
Some complaints about risky EU-to-US data transfers also date back almost a decade at this point. But theres fresh enforcement energy in the air since a landmark ruling by the CJEUin July 2020 which struck down the Commissions reupped data transfer arrangement (Privacy Shield), which since 2016 had been relied upon by thousands of companies to rubberstamp their US transfers.
The court did not outlaw personal data transfers to so-called third countries entirely. Which is why these data flows didnt cease overnight smack bang in the middle of 2020.
However it clarified that such data flows must be assessed on a case by case basis for risks. And itmade it clear that DPAs could not just turn a blind eye to compliance hi Ireland! rather they must proactively step in and suspend transfers in cases where they believe data is flowing to a risky location like the US.
In a much watched for follow-on interpretation of the court ruling, the European Data Protection Boards (EDPB) guidance confirmed that personal data transfers out of the EU may still be possible if a set of narrow circumstances and/or conditions apply. Such as the data can be genuinely anonymized so that it is truly no longer personal data.
Or if you can apply a suite of supplementary measures (such as technical stuff like applying robust end-to-end encryption meaning theres zero access to decrypted data possible by a US entity) in order to raise the level of legal protection.
The problem for adtech firms like Google and Facebook is that their business models are all about accessing peoples data. So its not clear how such data-mining giants could apply supplementary measures that radically limit their own access to this core business data without a radical change of model. Or, well, federating their services and localizing European data and processing in the EU.
The Austrian DPA decision makes it clear that Googles current package of measures, related to how it operates Google Analytics, is not adequate because it does not remove the risk of surveillance agencies accessing peoples data.
The decision puts heavy underscoring on the need for any such supplementary measures to actually enhance standard provisions if theyre to do anything at all for your chances of compliance.
Supplementary of course means extra. tl;dr you cant pass off totally standard security processes, procedures, policies, protocols and measures as some kind of special Schrems II-busting legal magic, no matter how much you might want to.
(A quick comparable scenario that might hammer home the point: One cant legally speaking hold a party during a pandemic if lockdown rules ban social gatherings simply by branding a bring your own bottle garden soire as a work event. Not even if youre the prime minister of the UK. At least not if you want to remain in post for long, anyway )
Its fair to say that the the tech industry response to the Schrems II ruling has been a massive, collective putting of heads into sand. Or, as the eponymous Max Schrems himself, honorary chair of noyb, puts it in a statement: Instead of adapting services to be GDPR compliant, US companies have tried to simply add some text to their privacy policies and ignore the Court of Justice. Many EU companies have followed the lead instead of switching to legal options.
This charade has been possible because to date there hasnt been much regulatory renforcement following the July 2020 ruling.
Despite the European Data Protection Board warning immediately that there would be no grace period for coming into compliance.
To the untrained eye that might suggest the industrys collective strategy of ignoring the legal nightmare wrapping EU-to-US transfers in the hopes the problem would just go away has been working.
But, as the Austria decision indicates, regulatory gears are grinding towards a bunch of rude awakenings.
The European Commission which remains eager for a replacement to the EU-US Privacy Shield has also warned there will be no quick fix this time around, suggesting major reforms of US surveillance law are required to bridge the legal divide. (Although negotiations between the Commission and the US on a replacement data transfer agreement are continuing.)
In the meanwhile Schrems II enforcements are starting to flow and orders to cease US data flows may soon follow.
In another sign of enforcement ramping up, the European Data Protection Supervisor (EDPS) just this week upheld a complaint against the European Parliament over US data transfers involving use of Google Analytics and Stripe.
The EDPS decision reprimands the parliament and also orders it to fix outstanding issues within one month.
The other 101 complaints noyb filed back in 2020 are also still awaiting decisions. And as Schrems notes EU DPAs have been coordinating their response to the data transfer issue. So theres likely to be a pipeline of enforcements striking at usage of US cloud services in the coming months. And, well, a lot of sand falling out of eyes.
Heres Schrems on the Austria DPAs reasoning again: This is a very detailed and sound decision. The bottom line is: Companies cant use US cloud services in Europe anymore. It has now been 1.5 years since the Court of Justice confirmed this a second time, so it is more than time that the law is also enforced.
We expect similar decisions to now drop gradually in most EU member states, he adds, further noting that Member State authorities have been coordinating their response to the flotilla of complaints (the EDPB announced a taskforce on the issue last fall).
In the long run we either need proper protections in the US, or we will end up with separate products for the US and the EU, Schrems also said, adding: I would personally prefer better protections in the US, but this is up to the US legislator not to anyone in Europe.
While netdoktor has been found to have violated the GDPR, its not clear whether it will face a penalty as yet.
It may also seek to appeal the Austrian DPAs decision.
The company has since moved its HQ to Germany, which complicates the regulatory jurisdiction component of this process and means it may face additional enforcement, such as an order banning transfers, in a follow on action by a German regulator.
There is another notable element of the decision that has gone Googles way for now.
While the regulator upheld the complaint against netdoktor it did not find against Googles US business for receiving/processing the data deciding that the rules on data transfers only apply to EU entities and not to the US recipients.
That bit of the decision is a disappointment to noyb which is considering whether to appeal with Schrems arguing: It is crucial that the US providers cannot just shift the problem to EU customers.
noyb further flags that Google may still face some pending sanction, however, as the Austria DPA has said it will investigate further in relation to potential violations of Article 5, 28 and 29 GDPR (related to whether Google is allowed to provide personal data to the US government without an explicit order by the EU data exporter).
The DPA has said it will issue a separate decision on that. So Google may yet be on the hook for a GDPR breach in Austria.
Penalties under the regulation can scale as high as 4% of a companys annual global turnover. Although orders to ban data transfers may ultimately prove a lot more costly to certain types of data-mining business models.
To wit: Long time EU privacy watchers will be aware that Facebooks European business is on penalty time in Ireland over this same EU-US transfers issue. A preliminary order that Facebook suspend transfers was issued by Ireland in fall 2020 triggering legal action from the social media giant to try to block the order.
Facebooks court challenge failed but a final decision remains pending from the Irish regulator which promised noyb a swift resolution of the vintage complaint a full year ago. So the clock really is ticking on that data transfer complaint. And someone should phone Metas chief spin doctor, Nick Clegg, to ask if hes ready to pull the plug on Facebooks European service yet?
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10 Reasons why Big Data is the Future of India – Analytics Insight
IT workers with analytics expertise are in high demand as businesses attempt to maximise the potential of big data
Thanks to technological improvements such as greater access to massive volumes of data, big data has a bright future ahead of it, allowing organisations to gain more insights, increase performance, generate revenue, and evolve more swiftly. Data and analytics, as well as artificial intelligence (AI) technologies, will be critical in the quest to predict, prepare for and respond proactively and quickly to a global recession and its effects.
Data is meaningless without the expertise to evaluate it, says Jeanne Harris, a senior executive at the Accenture Institute for High Performance. There are many more job openings in big data and analytics this year than there are now last year, and many Technology professionals are willing to put in the time and money to learn. Indeed.coms job system to measure for data analytics shows that there is still a rising trend for it and as a result, the number of employment possibilities is steadily increasing.
The demand for analytical talents is rapidly increasing, yet there is a significant supply gap. This is happening all across the world and isnt limited to a specific spot. Regardless of the fact that data analytics is a popular career, there are still a lot of unfilled positions due to a global skills shortage. According to a McKinsey Global Institute study, the United States would be short 190,000 data scientists and 1.5 million managers and analysts that can analyse and make choices based on big data by 2018.
The increasing importance of data analytics expertise is driving up rates for competent experts, and big data is willing to pay top dollar for the right people. According to the Institute of Analytics Professionals of Australia (IAPA2015Skillsand)s Compensation Survey Report, the annual median salary for data analysts in Australia is US$130,000, up 4% from the previous year. IAPAs membership has increased to over 5000 members in Australia since its inception in 2006, reflecting the growing demand for analytics experts.
Data analytics is one of the top objectives for the organisations who participated in the study, according to the conclusions of the Advanced Research with Big Data Analytics research, since they feel it enhances their businesses performance. More than 60% of respondents said big data technology helps them improve their social media marketing abilities in their sector. The QuinStreet poll supports the notion that analytics is the need of the hour among large enterprises.
Increasingly complex data analytics on vast, heterogeneous datasets has become simpler thanks to technological advancements. According to the survey, more than a quarter of respondents are now employing analytics tools on large datasets for jobs such as business analytics, predictive modelling, and data mining. The usage of crucial analytics technology has expanded as a result of data analytics offering a competitive advantage.
Many businesses use analytics as a competitive advantage. Without a question. According to Tom Davenports Analytics Advantage poll, 96% of respondents believe analytics will grow more vital to their companies. This is due to the large amount of data that is not being utilised, and only rudimentary analytics are being performed at this time. About 49% of respondents feel that analytics is a critical aspect in improving decision-making abilities. Another 16% think its great because of its excellent strategic efforts.
According to a big data analytics survey, unstructured and semi-structured analytics are rapidly growing in popularity. Weblogs, social networks, e-mail, photos and multimedia are among the unstructured data sources being processed and analysed by 84% of respondents. The remaining respondents stated that they are in the process of putting them into action within the next 12 to 18 months.
Big data analytics came out on top in a Nimbus Ninety poll as being the most disruptive technology that will have the most impact in three years. Over the 2020-2025 timeframe, the data analytics global market for apps and analytics technology will expand at a 32% CAGR, while cloud Technology will grow at a 20 percent CAGR, computing technology will grow at a 10% CAGR and NoSQL technology will develop at a 20 percent CAGR.
From a professional aspect, there are several possible choices in terms of industry and employment type. There is a multitude of job descriptions available because analytics is employed in several different businesses. Data scientists earn more than 75 lakh per year, ascompared to 8-15 lakh for CAs as well as 5-8 lakh for engineers with the same level of experience. The US$2 billion data and analytics business is encouraging graduates because of a skewed demand-supply imbalance.
Because of its numerous benefits, big data analytics is undoubtedly in high demand. The enormous growth is indeed due to the wide range of industries in which Analytics is used. The image below shows the various job opportunities available in various domains.
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10 Reasons why Big Data is the Future of India - Analytics Insight
Greater Texas | Aggieland Credit Union Launches Insurance Agency Through Partnership with Insuritas – Insurance News Net
Greater Texas | Aggieland Credit Union has partnered with Insuritas to offer insurance brokerage services to its more than 60,000 members.
EAST WINDSOR, CONNECTICUT, USA, January 18, 2022 /EINPresswire.com/ -- Aggieland Insurance Solutions, a wholly-owned subsidiary of Greater Texas Credit Union, offers personal, ancillary, and commercial insurance products following Greater Texas convenient, digital-first member services model. Greater Texas | Aggieland Credit Union, partnered with Insuritas to offer insurance brokerage services to more than 60,000 members.
As part of our strategic planning process, we assessed the services available to our members. After careful analysis, we determined that with Insuritas, we can provide our members with new options to help them work toward their financial goals and manage their risks, said Greater Texas Vice President of Financial Solutions Joe James. Affordability, convenience, and quality of insurance offerings are some of the benefits the agency will provide our members.
The Greater Texas | Aggieland Insurance Solutions will include more than 40 carrier partners with products such as home, renters, auto, pet, identity theft, and travel, among many others.
Were delighted to announce our relationship with Greater Texas Credit Union and are proud to have earned the opportunity to build, launch, and manage a full-service, digitally-powered insurance agency for their members, said Insuritas Chairman and CEO Jeffrey Chesky. Through our relationship, the credit union will now be able to provide simple, seamless access to competitive options for their members insurance needs, all with a focus on delivering the right coverages at the right price at the right time.
About Greater Texas | Aggieland Credit UnionGreater Texas Credit Union, founded in 1952, is a financial cooperative that provides an array of personal financial products and services. Together with its subsidiary, Aggieland Credit Union which serves the Brazos Valley it offers a wide variety of consumer-oriented banking services to its 77,000 members across the state of Texas. Greater Texas has locations in Austin, Houston, San Antonio, Bryan-College Station, Edinburg, and the DFW market with assets of nearly $1 billion. For more information, visit http://www.gtfcu.org.
About InsuritasThe Insuritas mission is to connect people to the insurance products they need through a seamless, transparent shopping experience where carriers compete to provide them with the right coverage at the right price. The Insuritas meta-agency platform, deployed across a network of partners serving over 10M customers nationally, empowers financial institutions to leverage proprietary data-mining techniques and integrations with a broad array of insurance carriers to make highly personalized, digitally optimized insurance offers to their depositors, all within their brand. These strategies help further their commitment to the financial well-being of their customers while driving a critical source of non-interest income for their institution. For more information, visit http://www.insuritas.com.
Jeffrey CheskyInsuritas+1 860-653-1134[emailprotected]
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The 5 Best Data Analytics Tutorials on YouTube to Watch Right Now – Solutions Review
This list of the best data analytics tutorials on YouTube will introduce you to the topic and help provide a jump-start to your career in the field.
Data analytics is a data science. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy. Data analytics deals less in AI, machine learning, and predictive modeling, and more with viewing historical data in context.
Learning data analytics can be a complicated process, and its not easy to know where to start. As a result, our editors have compiled this list of the best data analytics tutorials on YouTube to help you learn about the topic and hone your skills before you move on to mastering it. All of the videos here are free to access and feature guidance from some of the top minds and biggest brands in the online learning community. All of the best data analytics tutorials listed tout a minimum of 100,000 views.
Note: Dont forget to subscribe to Solutions Review on YouTube!
Author: freeCodeCamp
Description: In this tutorial, youll learn the whole process of data analysis like reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualizing them using Matplotlib and Seaborn, and cleaning and processing it to create reports.
Author: codebasics
Description: If you want to learn data analyst skills and arent sure where to start, this resource from codebasics offers a three-month step-by-step roadmap to acquire notable skills using free online resources. You can also gain access to a complete data analyst roadmap at this link.
Author: Simplilearn
Description: This video on data analytics In Excel full course will help you will understand the various crucial functions available in Excel, such as vlookup, hlookup, sumif/s, counif/s, iferror and others. You will also see how to use the data analysis toolpak to perform various data analysis operations.
Author: Edureka
Description: This Edureka tutorial on data analytics for beginners will help you learn the various parameters you need to consider while performing data analysis. It outlines topics like statistics, data cleaning and manipulation, data visualization, machine learning, and hands-on practice.
Author: Simplilearn
Description: In this data analytics full course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then be exposed to a case study and perform analysis of data using Python and R.
Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
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The 5 Best Data Analytics Tutorials on YouTube to Watch Right Now - Solutions Review