Cloud Hosting

Page 2,887«..10 20..2,8862,8872,888 2,889..2,900 2,910..»

IoT Security Solution for Encryption Market Size and Share 2021 | Global Industry Analysis By Trends, Future Demands, Growth Factors 2027 Brockville…

May 30, 2021 | Author: admin

The report, titled IoT Security Solution for Encryption Market, is one of the most comprehensive and essential additions to the Reports Globe market research archive. It provides detailed research and analysis on key aspects of the IoT Security Solution for Encryption market. The market analysts who authored this report have provided detailed insights into key growth drivers, restraints, challenges, trends, and opportunities to offer a comprehensive analysis of the IoT Security Solution for Encryption market. Market participants can use analysis of market dynamics to plan effective growth strategies and prepare for future challenges in advance. Every trend in the IoT Security Solution for Encryption market is carefully analyzed and examined by market analysts. Market analysts and researchers have conducted an in-depth analysis of the IoT Security Solution for Encryption market using research methodology such as PESTLE and Porter's Five Forces Analysis. They have provided accurate and reliable market data and useful recommendations to help players get an insight into the current and future market scenario. The IoT Security Solution for Encryption report provides an in-depth study of the potential segments including product type, application, and end-user, as well as their contribution to the overall market size.

Request to Get the PDF Sample of the Report @ https://reportsglobe.com/download-sample/?rid=295612

In addition, the market revenue by region and country is shown on the IoT Security Solution for Encryption report. The report's authors also shed some light on common trading tactics used by gamblers. The key players in the IoT Security Solution for Encryption market and their complete profiles are included in the report. In addition, the report presents investment opportunities, recommendations and trends that are currently trending in the IoT Security Solution for Encryption market. This report will enable key players in the IoT Security Solution for Encryption market to make informed decisions and plan their strategies accordingly to stay ahead of the curve.

The competitive landscape is a critical aspect that every key player should be familiar with. The report sheds light on the competitive scenario of the IoT Security Solution for Encryption market for knowing the competition at the national and global levels. The market experts also gave an overview of every major player in the IoT Security Solution for Encryption market, taking into account important aspects such as business areas, production, and product portfolio. Additionally, the companies are examined in the report based on key factors such as company size, market share, market growth, revenue, the volume of production, and profit.

Request a Discount on the report @ https://reportsglobe.com/ask-for-discount/?rid=295612

IoT Security Solution for Encryption Market Segmentation:

IoT Security Solution for Encryption Market, By Application (2016-2027)

IoT Security Solution for Encryption Market, By Product (2016-2027)

Major Players Operating in the IoT Security Solution for Encryption Market:

Regional Analysis:

The report provides information about the market area, which is further subdivided into sub-regions and countries. In addition to market share in each country and subregion, this chapter of this report also provides information on profit opportunities. This chapter of the report mentions the share and market growth rate of each region, country, and sub-region in the estimated time period.

View market snapshot before purchasing @ https://reportsglobe.com/product/iot-security-solution-for-encryption/

Key questions answered in the report:

Request customization of the report @ https://reportsglobe.com/need-customization/?rid=295612

Customization of the Report:

Please contact us if you would like more information about the report. If you have any special requirements and would like customization, please let us know. We will then offer the report as you wish.

How Reports Globe is different than other Market Research Providers:

The inception of Reports Globe has been backed by providing clients with a holistic view of market conditions and future possibilities/opportunities to reap maximum profits out of their businesses and assist in decision making. Our team of in-house analysts and consultants works tirelessly to understand your needs and suggest the best possible solutions to fulfill your research requirements.

Our team at Reports Globe follows a rigorous process of data validation, which allows us to publish reports from publishers with minimum or no deviations. Reports Globe collects, segregates, and publishes more than 500 reports annually that cater to products and services across numerous domains.

Mr. Mark Willams

Account Manager

US: +1-970-672-0390

Email: [emailprotected]

Website: Reportsglobe.com

View post:
IoT Security Solution for Encryption Market Size and Share 2021 | Global Industry Analysis By Trends, Future Demands, Growth Factors 2027 Brockville...

Data Analytics Analyst-Risk at Willis Towers Watson – Insurance Journal

May 30, 2021 | Author: admin

The Business

Corporate risk and broking

We know how companies can unlock potential through effective risk management. Our clients rely on us to craft strategies to quantify, mitigate, and transfer risk, taking advantage of our industry experience and unparalleled market know-how. The result is a new way of embracing risk that drives superior results.

Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

The Role

The Data Analytics Analyst coordinates requests for data analytics and risk management information systems needs from Willis Towers Watson North America (WNA) and acts as the contact point for WNA stakeholders to discuss and agree to their specific requirements or scope of services. Complete accurately and timely the requirements/scope of services agreed upon. Finally, deliver the outputs to the stakeholders and manage the ongoing relationship with them for subsequent reports.

Responsibilities:

Skills/Qualifications:

EOE, including disability/vets

Follow this link:

Data Analytics Analyst-Risk at Willis Towers Watson - Insurance Journal

Lifesciences Data Mining and Visualization Market: North America to Account for Largest Revenues in the Market Forecast 2017 to 2026 The Courier -…

May 30, 2021 | Author: admin

The Growth of Lifesciences Data Mining and Visualization market is huge. The research report presents a comprehensive assessment of the market and contains thoughtful insights, facts, historical data and statistically supported and industry-validated market data. It also contains projections using a suitable set of assumptions and methodologies. The research report provides analysis and information according to market segments such as geographies, application and industry

To remain ahead of your competitors, request for a sample https://www.factmr.com/connectus/sample?flag=S&rep_id=459

The global healthcare data mining & visualizationmarket has been slated to reflect a spectacular rise between the forecast period 2017 and 2026. The market has been estimated to surpass US$ 6,000 Mn in revenues by 2026-end.

Companies Leveraging Lifesciences Data Visualization to Make Improvements in their Facilities

With the business of lifesciences witnessing continuous evolution, optimizing effectiveness of decisions related to capital investment is gaining paramount importance within the industries. The decisions apropos to facility function & location are indispensable, mainly because proximity to services plays pivotal role. Lifescience data visualization has therefore been gaining huge momentum along with its provision of the application-specific data and infographics.

For critical insights on this market, request for methodology here https://www.factmr.com/connectus/sample?flag=RM&rep_id=459

Lifescience data visualization facilitates better understanding of complex datas graphical representation, which has led companies to capitalize on the technology with an aim to make improvements in their facilities. A popular trend witnessed in the market is increasing importance of sharing lifescience data visualization in a bid to enable discerning of results in a format that is easy to understand.

Data mining is intensively & extensively being utilized by several lifesciences organizations, and is gaining immense popularity in the industry, although the degree of essentiality has been moderate. The data mining applications significantly benefit the lifesciences companies, for example, these organizations can make correct decisions associated with customer relationship management, thereby enabling physicians in identifying best practices as well as effective treatment options. Patients are provided with affordable & improved healthcare services.

Huge amount of highly complex data created by transactions apropos to the lifesciences industry entails challenges such as processing and analyzing the voluminous data by using traditional methods. However, with the help of methodology and technology of data mining, the process of transforming this complex data into a useful intelligence is facilitated.

Key Future Projections of Lifescience Data Mining and Visualization Market for Forecast Period 2017-2026

Bitcoin mining difficulty decreases by 16% from its recent all-time-high – The Block Crypto

May 30, 2021 | Author: admin

Bitcoin's mining difficulty saw a notable decrease around Sunday midnight UTC time as the network's hash rate has dropped significantly even before China's bitcoin mining crackdown comment.

On-chain data shows the network's mining difficulty adjusted to 21.05 Trillion at block height 685,440, which is a 16% drop compared to its recent all-time-high recorded on May 13.

In fact, Bitcoin's average block production interval already increased to 11.8 minutes between May 13, the last mining difficulty adjustment date, and May 21, when China's State Council iterated in a recent meeting that there needs to be a crackdown on bitcoin mining and trading activities in China.

That interval was 18% faster than the Bitcoin network's intended 10-minute-per-block production time, which also means the average hash rate between May 13 and 21 already dropped to around 147 exhashes per second (EH/s).

Following the China State Council's comment Friday last week, the seven-day moving average hash rate has remained relatively steady around the 150 EH/s level.

As reported previously, the computing power connected to Bitcoin has declined since May 13 due to a few factors.

While some miners had started the migration process from Northern Chinese provinces to the hydro-electricity hub in Sichuan, the power plants in Sichuan have been limiting the supply to energy-intense industries including mining farms due to the delay of the rain this year. As a result, there has been a surging electricity demand from the general public, which had to be prioritized.

It remains to be seen whether and how the Sichuan government will react to the State Council's high-level policy signal in terms of cracking down on bitcoin mining activities.

Different from its counterparts in Inner Mongolia, where the energy is mostly based on fossil fuel, the Sichuan government is hosting a seminar next week to understand what the impact of a simple ban would have on the local hydropower economy.

Meanwhile, some Chinese bitcoin miners are looking for energy capacities overseas to migrate their equipment out of China to hedge against regulatory uncertainties ahead.

View post:

Bitcoin mining difficulty decreases by 16% from its recent all-time-high - The Block Crypto

Pandemic Shines Spotlight On Big Data And AI In Life Sciences And Healthcare – Forbes

May 30, 2021 | Author: admin

Covid Pandemic

Leading Fortune 1000 companies have been organizing and analyzing their data to gain business insights for years.Traditional industries with a long history of capturing and managing their data, notably financial services, have decades of experience mining data to better service and grow their customer relationships and manage risk.During the past decade, as data volumes grew, and as new sources of data emerged, Big Data initiatives captured C-suite attention.Today, Fortune 1000 companies are managing exponentially greater volumes and sources of data, while leveraging emerging technology capabilities including machine learning and AI to gain ever more granular insights into market opportunities.Companies are leveraging computers to do the work that they once relied on humans to perform.

It is against this backdrop that the Covid-19 plague of 2020-2021 arose, with its consequent impact on how businesses continued to serve customer needs.Many companies moved quickly to leverage digital capabilities to enable remote customer interaction and service, while data emerged into an even greater light of importance, visibility, necessity and urgency.Public and private sector organizations operating in the public health and life sciences arena faced a new urgency to manage and report on data in a timely and accurate manner.Governmental agencies, healthcare providers, universities, and industry groups mobilized to analyze vast and disparate data from around the globe to understand the velocity of spread, infection rates, risk statistics and ultimately, the path to vaccination development, rollout and development of herd immunity.

For healthcare and life sciences companies, this new sense of urgency and information demand is shining a spotlight on data in ways that had not been previously encountered.Data that was previously nice to have quickly became urgent and essential.This increased data urgency is reflected in the findings of NewVantage Partners annual Big Data and AI executive survey, which was published earlier this year.The survey findings point to an industry sectorlife sciences and healthcarewhere data has gained new preeminence and criticality.While traditionally data mature industries like financial services focused on incremental advancement of their data processes and capabilities, healthcare and life sciences firms were forced to mobilize their resources to respond quickly to public health demands.As one state governor stated during the peak of the epidemic in the spring of 2020, We will rely on data, science, and facts to make our resource and planning decisions.

The survey of C-executives from leading healthcare and life sciences companies included established leaders such as Anthem Health, Bristol-Myers Squibb, Cigna, CVS Health, Eli Lilly, Glaxo Smith Kline, Humana, Merck, Pfizer, Sanofi, and United Health, as well as emerging entrants like Cerevel.The findings dramatize the extent to which firms in the healthcare and life sciences were more aggressive, more optimistic and more successful in achieving data-driven business outcomes than their peers in other industry sectors during 2020.For example, while only 17.9% of financial services companies reported that they had created a data-driven organization, more than twice as many40.9%healthcare and life sciences firms reported having achieved this milestone.

The urgent embrace of data is reflected in other findings as well.While only 38.8% of financial services firms report that they are managing data as a critical business asset of their organization, a startling 57.1% of healthcare and life sciences firms report having achieved this outcome.These numbers are consistent down the line66.7% of health and life sciences firms report driving innovation with data, versus 46.3% in financial services; and 45.5% of health and life science firms report having achieved transformational business outcomes, compared with 22.4% in financial services.

This commitment to data-driven healthcare and life sciences is further reflected in investment levelswith 50% of life science firms reporting increased investment in data, compared to 22.4% in financial services.Further, while only 40.3% of financial services firms characterized themselves as leaders in data and AI, 63.6% of life sciences and healthcare firms described themselves in this fashion.While 74.6% of financial services firms reported being focused on offensive initiatives, in contrast to defensive risk mitigation efforts, 100.0% of health and life sciences firms claimed to be on the offensive.

Further evidence of the commitment of life sciences companies to invest in Big Data and AI is confirmed by big pharmas investment of billions of dollars into mining anonymized patient records to aid drug discovery.These investments are being undertaken in the hope of expanding the patient universe which will benefit from existing medicines, while also discovering new drugs.Pfizer is among the leading pharmaceutical leaders that are combing data from randomized control trials, combined with additional data sources, to create Real World Evidence (RWE).The power of data to accelerate drug discovery and reduce research costs offers new hope to patients. Developing a new drug from bench to bedside can cost $2.6B and take up to 14 years according to data from the Tufts University Center of Drug Development.Scientists greater understanding of individual biology is driving a search for more personalized treatments that are driven by more and better data.Today, data is being drawn from electronic health records and curated to fit research objectives.

Rock Health, a US venture fund focusing on digital health, reports that $1.5B has been invested in AI or machine learning solutions that are targeted at the biopharma industry.Merck has invested $40M in TriNetX, a clinical data and analytics company, and Roivant Sciences has invested $40.5M in Datavant, which connects fragmented health data sets.RWE is being used to augment clinical trials where not enough data is available.Novartis CEO Vas Narasimhan has described his firm as a data science company.Novartis is looking to combine data from clinical trials with other information about patients, such as genetic make-up.Dr. Narasimhan notes, If you look at the tech companies they realized that actually the core asset for them is the data-mining of all of that experience.

The explosion of data, and data initiatives that are underway in the life sciences has the potential to reshape the future of the industry and of patient care.This embrace of data has been coming for some time now, but the worldwide Covid pandemic generated heightened awareness and new urgency.From the application of Real-World Evidence data to the capture and analysis of new sources of genomic and epidemiological data, medical records, and other data sources, the embrace of data-driven decision making in the life sciences is gaining new momentum.Gaurav Tripathi, CTO of Innoplexus, sums up the opportunity well, Data and machine learning will dramatically reduce the time to market for new therapies, reduce the time and investment required for targeting rare diseases, enable precise and more personalized medicines, and automate key processes that will improve efficiency by orders of magnitude. For companies and data professionals operating in the healthcare and life sciences arena, the coming years will surely be fast paced, and will likely be transformational.

Read this article:

Pandemic Shines Spotlight On Big Data And AI In Life Sciences And Healthcare - Forbes

Predictive Analytics Market Growth, Upcoming Trends, Companies Share, Structure and Regional Analysis by 2026 The Manomet Current – The Manomet…

May 30, 2021 | Author: admin

According to IMARC Groups latest report, titled Predictive Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026, Theglobal predictive analytics market reached a strong growth in 2020. Predictive analytics stands for a subset of advanced analytics that is designed to predict the likelihood of future events by observing historical and current data. It examines the data using several statistical techniques, such as Big Data, Machine Learning, Data Mining, etc. Predictive analytics offers numerous benefits in improving marketing campaigns, optimizing customer experiences, detecting frauds, reducing financial risks, enhancing business efficiency, etc.

Request for a PDF sample of this report:https://www.imarcgroup.com/predictive-analytics-market/requestsample

The emerging Industry 4.0 trend, along with the increasing penetration of industrial automation solutions, is primarily driving the global market for predictive analytics. Moreover, the rising adoption of predictive analytics for analyzing large volumes of data and high revenue-generating opportunities is also propelling the market growth. Additionally, the growing demand for robust business strategies and improved decision-making in real-time is further augmenting the demand for predictive analytics across numerous organizations. In the coming years, the escalating integration of predictive analytics with several advanced technologies, such as Data Mining, AI, Big Data, virtual reality, etc., will continue to drive the global market. Looking forward, the global predictive analytics market is expected to grow at a CAGR of 24.5% during the forecast period (2021-2026).

As the novel coronavirus (COVID-19) crisis takes over the world, we are continuously tracking the changes in the markets, as well as the industry behaviors of the consumers globally and our estimates about the latest market trends and forecasts are being done after considering the impact of this pandemic.

Competitive Landscape with Key Players:

Market Segmentation:Breakup by Business Function:

Breakup by Solution:

Breakup by Service:

Breakup by Deployment:

Breakup by Organization Size:

Breakup by End Use Industry:

Breakup by Region:

Ask Analyst for Customization and Explore full report with TOC & List of Figures:https://www.imarcgroup.com/predictive-analytics-market

We are updating our reports, If you want latest primary and secondary data (2021-2026) with Cost Module, Business Strategy, Distribution Channel, etc. Click request free sample report, published report will be delivered to you in PDF format via email within 24 to 48 hours.

Key highlights of the report:

If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.

Related Reports by IMARC Group:

Test Preparation Market: https://www.imarcgroup.com/test-preparation-market

Carbon Footprint Management Market: https://www.imarcgroup.com/carbon-footprint-management-market

Software-Defined Anything Market: https://www.imarcgroup.com/software-defined-anything-market

Behavioral Biometrics Market: https://www.imarcgroup.com/behavioral-biometrics-market

Customer Self-Service Software Market: https://www.imarcgroup.com/customer-self-service-software-market

Web Hosting Services Market: https://www.imarcgroup.com/web-hosting-services-market

Gaming Simulators Market: https://www.imarcgroup.com/gaming-simulators-market

Fashion influencer marketing market: https://www.imarcgroup.com/fashion-influencer-marketing-market

Latin America OTT Platform Market: https://www.imarcgroup.com/latin-america-ott-platform-market

United States 3D Printing Market: https://www.imarcgroup.com/united-states-3d-printing-market

About Us

IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.

IMARCs information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the companys expertise.

IMARC Group

30 N Gould St Ste R

Sheridan, WY 82801 USA Wyoming

Email: Sales@imarcgroup.com

Tel No:(D) +91 120 433 0800

Americas: +1 631 791 1145 | Africa and Europe: +44-702-409-7331 | Asia: +91-120-433-0800, +91-120-433-0800

Original post:

Predictive Analytics Market Growth, Upcoming Trends, Companies Share, Structure and Regional Analysis by 2026 The Manomet Current - The Manomet...

The 10 Best Business Analytics Certifications Online for 2021 – Solutions Review

May 30, 2021 | Author: admin

The editors at Solutions Review have compiled this list of the best business analytics certifications online to consider acquiring.

Business analytics refers to the process by which organizations use statistical methods and software for analyzing data. Some of the key processes included data mining, predictive analytics and statistical analysis in order to transform and present data as a means to enhance decision-making. More data is available to businesses than ever before, which is why business analytics is a massively growing field. Modernbusiness analytics software toolslet users with little to no technical background pilot tools that can automate much of the process.

With this in mind, weve compiled this list of the best business analytics certifications from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best business analytics certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Reviews personal take on each.

Platform: Coursera

Description: Over 8 courses, gain in-demand skills that prepare you for an entry-level job. Youll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. Youll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers, including Walmart, Best Buy, Astreya.

Platform: Coursera

Description: This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data analyst or data scientist and develop the essential skills you need to work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language.

Platform: Coursera

Description: Learn the foundational skills required for an entry-level data analyst role through this nine-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts. Youll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics.

Platform: Coursera

Description: Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.

Platform: Coursera

Description: This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency. Data examples are general enough to be applicable to a broad range of subject areas.

Platform: edX

Description: This Professional Certificate program prepares students, working professionals, and decision-makers to become data literate in both their professional and personal lives. In todays data-driven world, data literacy will transform you into a data citizen, allowing you to communicate and make decisions based upon facts with confidence. You will emerge as a champion for a data literate culture.

Platform: Simplilearn

Description: This globally recognized Business Analyst Certification course is designed to train you on all three aspects of business analysis planning and monitoring, requirements elicitation, and requirements management and communication. Become job-ready by learning the latest tools, working on real-world projects, and attending Master Classes from IBM experts.

Platform: Simplilearn

Description: This Data Analyst Masters Program in collaboration with IBM will make you an expert in data analysis. In this Data Analyst certification course, youll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

Platform: Udacity

Description: In this program, youll learn foundational data skills that apply across functions and industries. Youll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau. You will leave with practical skills that you can apply in any job. These skills are also a great foundation to a career in data analysis and data science.

Platform: Udacity

Description: Advance your programming skills and refine your ability to work with messy, complex datasets. Youll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, youll learn to use your data skills to tell a story with data.

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.

The 10 Best Business Analytics Certifications Online for 2021 - Solutions Review

Investors Who Worry About Bitcoin Should Remember These 3 Things – The Motley Fool

May 30, 2021 | Author: admin

With some cryptocurrencies down 40% or more from their recent highs, crypto investors may be nervous about what comes next. But despite the volatility, there are at least three good reasons forbitcoin (CRYPTO:BTC) investors to believe in the cryptocurrency's future.

To say bitcoin has been on a wild ride in the last year is an understatement. Just since May of last year, bitcoin rose from about $9,400 to over $64,000 by April 2021. Bitcoin's recent correction gained steam based on two key factors. Elon Musk seemed to back away from his support of bitcoin based on the idea that bitcoin mining uses a tremendous amount of power. This doesn't fit within Tesla's (NASDAQ: TSLA) eco-friendly stance. The second issue was China cracking down on the use of crypto as a form of payment.

Though bitcoin's price has been volatile, increased acceptance as an investable asset class seems to bode well for its future. Square (NYSE:SQ) was one of the first companies to help move bitcoin into the mainstream through its Cash App. In case there was any doubt about the popularity of bitcoin, Square's bitcoin business jumped 11-fold to more than $3.5 billion in the company's most recent quarter. The financial company has constantly referenced bitcoin engagement within the Cash App as one of its growth pillars.

Image source: Getty Images.

PayPal (NASDAQ:PYPL) isn't content to let Square corner bitcoin enthusiasts. The payments company wants customers to feel comfortable with crypto as a form of payment, ofering to "put the currency back into cryptocurrency." Many investors are still trying to learn about what crypto is and how it might fit their life. Though many companies allow investors to buy crypto, the are relatively few debit card or payment options, that allow people to spend crypto directly. PayPal is offering to automatically convert crypto to spendable currency to make payments wherever PayPal is accepted.

It's one thing for retail-focused companies to attract customers with bitcoin options. However, Goldman Sachs' head of digital assets, Mathew McDermott, said the investment firm's institutional clientshave moved beyond learning about crypto and are requesting access to it for their portfolios.

Wells Fargo (NYSE:WFC) wants into the bitcoin business as well. The bank will soon offer a professionally managed solution for clients involving cryptocurrency. John LaForge, the bank's head of real asset strategy said, "We think the cryptocurrency space has just kind of hit an evolution and maturation of its development that allows it now to be a viable investable asset."

There's a method to bitcoin mining's madness. A study from 2018 in Applied Economics Letters suggestsa theory behind the price of bitcoin: The value of a single bitcoin is correlated to the cost to mine that coin.

Given this backdrop, it makes sense to look at the costs that go into mining. One of the primary costs miners deal with is the graphics card(s), or ASIC miner(s), that generate most of the processing power. Graphics cards and ASIC miners are suffering from ongoing supply shortages. Theoretically, as the cost to acquire mining equipment increases, so should the price of bitcoin.

The largest supplier of bitcoin mining gear is Bitmain, which reportedly is soldout until at least August of this year. Where graphics cards are concerned, Nvidia (NASDAQ:NVDA) believes the GPU shortageis likely to continue through 2021. Due to supply shortages, it's a regular occurrence for scalpers to buy and then resell mining equipment with a significant markup.

Investors should note that bitcoin mining is also limited to one block every 10 minutes, so miners can't speed up production to churn out more coins. With high demand, set production, and increased costs to acquire mining equipment, bitcoin's price should rise as long as these trends continue. The challenge with these trends is scarcity driving costs up also means driving out less capitalized competition. According to Fitch Solutions, a data analytics firm, the chip shortage affecting miners could last at least until 2023.

Investorsare beginning to speculate that bitcoin could follow Ethereum (CRYPTO: ETH) in moving from proof-of-work (mining), to proof-of-stake (holding). One of the central issues being debated publicly is the massive electricity cost of running a proof-of-work system like bitcoin. However, there are several reasons to believe bitcoin may not need to follow Ethereum down the proof-of-stake road.

First, Ethereum's moving to proof-of-stake because of the vast number of applications trying to run on the current network. A proof-of-stake network, which requires far less computing power to verify transactions, can help Ethereum's network expand and become more efficient.

Second, the bitcoin network has been developing a lightning network since 2015.Think of it as an access road that connects to the bitcoin highway, but also runs parallel. In bitcoin's traditional network, each new transaction is linked and reaffirmed with all of the other data on the network. Using the lightning network, two parties can essentially send and receive between each other multiple times without including the main network in every single transaction. This way, bitcoin transactions can fork off the main road and create many smaller transaction sideroads that don't have to clog up the main network. As new lightning-supported crypto wallets become more prevalent, the bitcoin network should be faster and theoretically cheaper to use.

Lastly, bitcoin's limited supply argues investors should favor holding the coin as a scarce asset. Unlike bitcoin, Ethereum doesn't have a hard cap on its supply overall, which means it can much more easily pay interest to stakeholders by giving them more ETH. Bitcoin's hard cap of 21 million total coins means that at some point, stakeholders would no longer be able to generate additional interest in bitcoins, because the cap would have been reached.

Bitcoin investors can also draw encouragement from the similarities between bitcoin and gold. Gold holds value not only from its relative scarcity, but also because it requires work and time to mine the metal. There are an estimated 190,000 tons of gold above ground. Each year, roughly 2,500 to 3,000 tons of new gold is mined. Given the costs and limitations of profitable mining, statistical research suggests that large-scale gold mining won't continue much past 2075.

Bitcoin's future supply sounds similar to its real metal counterpart. The crypto equivalent of gold has a circulating supply of about 18.7 million coins. By design, Bitcoin sets its maximum supply at about 21 million coins. Bitcoin mining generates a block every 10 minutes worth 6.25 bitcoins. Blocks are reduced by 50% automaticallyevery 210,000 blocks, or roughly every 4 years, which reduces bitcoin's inflation rate. With these calculations, investors know the final bitcoin should be mined around 2140.

Even Sylvia Carrasco, CEO of gold exchange Goldex, finds similarities between gold and bitcoin. In a questionnaire by Markets Insider in February 2021, Carrasco was asked if she would rather hold gold or bitcoin over the next ten years. She noted, "Bitcoin and gold both have significant advantages over fiat currencies because neither can be diluted or debased."

While bitcoin is certainly more volatile than gold or many stocks, its returns significantly outperformed these other assets over the last two years in particular.

Asset

6 Months

1 Year

2 Years

Gold

0.4%

11.5%

45.54%

S&P 500

11.7%

40.3%

53.47%

Bitcoin

31.8%

321.7%

342.79%

Data source: Yahoo Finance.

Investors can't afford to ignore an asset that has outperformed others by this margin. Bitcoin seems to get a new stamp of approval from different companies on a regular basis. The squeeze on supplies of efficient mining equipment increases the cost to produce the coin. As bitcoin moves toward mainstream adoption, gold and crypto seem ever more similar.

After the recent crypto correction, Bitcoin trades at a nearly 40% discount to its 52-week high. Investors looking for confidence in bitcoin's future can watch for future expansions of bitcoin into more mainstream financial transactions. In late May 2021, PayPal announced it would now allow users to transfer bitcoin outside of PayPal's internal crypto wallet for the first time. This will allow users to freely move their bitcoin to other sites for trading, or to make payments to their friends directly with crypto instead of having to convert their crypto to cash first.

When it comes to tracking the mining side of the equation, investors can keep up with Nvidia as a way to track how supplies are moving. As long as Nvidia's supply is constrained, there is a decent chance that mining costs are up, which would seem to support bitcoin's price. But investors should remember that bitcoin is closer to the crypto world's version of gold, not the dollar. While it's important that bitcoin be usable, the fact that institutions and individuals want to hold bitcoin in their portfolios is another factor to watch. Those worried about having missed the big move in bitcoin may be getting another chance with the recent correction.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

Go here to read the rest:

Investors Who Worry About Bitcoin Should Remember These 3 Things - The Motley Fool

Data Science Jobs: Who’s Hiring & Where can You Apply for this Week? – Analytics Insight

May 30, 2021 | Author: admin

Analytics Insight has listed top data science jobs that aspirants should apply for this week

Asbig datatouches all aspects of every industry, the need for talented people who are capable of dealing with data has spiked over the past few years. Even non-tech companies without IT teams and infrastructures are looking fordata scientiststo work with data and analytics. Today,big dataand analytics are considered the driving force behind business operations, marketing strategies, logistical decisions, and the burgeoning field of artificial intelligence. More spotlights on technology have opened the door for moredata science vacancies across different spheres. On the other hand, the rise of cloud computing, IoT, and data centers, has also spiraled the importance of data science. Owing to all the technological developments, thedata science jobmarket has numerous openings throughout the year. Henceforth, Analytics Insight has listed topdata science jobs that aspirants should apply for this week.

Location: Bengaluru, Karnataka, India

About the company: Philips India Limited is a subsidiary of Royal Philips of the Netherlands. Royal Philips is a leading health technology company focused on improving peoples health continuum from healthy living and prevention, to diagnosis, treatment, and home care. Founded in 1930, Philips India Limited leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions.

Role and Responsibilities: As a data scientist, the candidate should design and develop project prototypes and solutions. One should participate in project estimation, planning, and risk management activities. They are responsible for delivering input in the planning process to the project leader. The candidate should ensure that there is proper documentation for the developed solutions and compliance to the quality management system and regulatory requirements.

Qualifications:

Applyhere for the job.

Location: Bengaluru, Karnataka, India

About the company: Huawei is a leading provider of information and communications technology (ICT) infrastructure and smart devices. Founded in 1987, the company is committed to bringing digital to every person, home, and organization for a fully connected, intelligent world. Huawei Technologies India Pvt. Ltc., established in 1999 in Bengaluru, is the first overseas research and development center of Huawei Technologies Co. Ltd. Over the past few years, Huawei Technologies India has evolved to play a bigger role in the innovation journey of Huawei, developing future-oriented technologies.

Roles and responsibilities: As a lead data scientist, the candidate is expected to help Huawei India discover the information hidden in vast amounts of Ad Campaign data, and aid them to optimize the campaign to improve the advertiser ROI and overall consumer experience. Ones primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems using deep learning algorithms integrated with the companys products. They should take up key challenges in AI-driven smart Ad Serving Platform and focus on research and developing leading AI algorithms and production for Huawei Ads.

Qualifications:

Applyherefor the job.

Location: Bengaluru, Karnataka, India

About the company: KPMG International is the third-largest accounting firm in the world. KPMG India, established in 1993, has rapidly built a significant competitive presence in the country. The companys differentiation is derived from rapid performance-based, industry-tailored, and technology-enabled business advisory services delivered by some of the leading talented professionals in the country.

Roles and responsibilities: The data science consultant is expected to have strong command over statistics, data analysis, machine learning, and predictive modeling. One should know to validate different algorithms and choose why to use one v/s the other, how to tune, etc. They should be strong on either R or Python programming and also should know code versions through GitHub.

Qualifications:

Applyherefor the job.

Location: Folsom, CA

About the company: Intel Corporation is an American multinational corporation and technology company working on semiconductor chip manufacturing. Founded in 1968, Intels technology is used as a computing breakthrough. The company creates world-changing technology that enables global progress and enriches lives. Intel is initiating further trailblazing solutions in artificial intelligence, 5G network transformation, the rise of intelligent edge, etc.

Roles and responsibilities: The data analyst role is a global position with accountability to stakeholders from across a variety of regions and functional groups. As a data analyst, the candidate will be responsible for managing and further defining the processes by which additions and modifications are made to the companys customer information systems, and for facilitating adherence to data governance standards. One should execute customer data synchronization across various systems to create and maintain a seamless customer experience. They should identify the troubleshoot discrepancies in customer profile information using a combination of defined processes, research, and critical thinking.

Qualifications:

Applyherefor the job.

Location: New York, United States

About the company: American Express is a global travel, financial, and network services provider. The company provides individuals with change and credit cards, travelers cheques, and other stored value products. American Express has moved from freight forwarding to travel to cards to innovative digital products and services, with a constant goal to earn customers loyalty and trust.

Roles and responsibilities: As a data analyst, the candidate will assist in the expansion of the Amex Ethics Office Code of Conduct Reporting. The job role requires a candidate who has experience in data modeling, manipulation, and processing to enhance the AEO Code of Conduct database. One is also responsible for assisting in creating dashboards through business intelligence tools to automate American Expresss analytic capabilities. They should work closely with technology partners to debug components, identify fixes, and verify remediation of code defects.

Qualifications:

Applyherefor the job.

Share This ArticleDo the sharing thingy

Read this article:

Data Science Jobs: Who's Hiring & Where can You Apply for this Week? - Analytics Insight

Cloud Hosting

IoT Security Solution for Encryption Market Size and Share 2021 | Global Industry Analysis By Trends, Future Demands, Growth Factors 2027 Brockville…

Data Analytics Analyst-Risk at Willis Towers Watson – Insurance Journal

Lifesciences Data Mining and Visualization Market: North America to Account for Largest Revenues in the Market Forecast 2017 to 2026 The Courier -…

Bitcoin mining difficulty decreases by 16% from its recent all-time-high – The Block Crypto

Pandemic Shines Spotlight On Big Data And AI In Life Sciences And Healthcare – Forbes

Predictive Analytics Market Growth, Upcoming Trends, Companies Share, Structure and Regional Analysis by 2026 The Manomet Current – The Manomet…

The 10 Best Business Analytics Certifications Online for 2021 – Solutions Review

Top AI Jobs on LinkedIn to Apply in 2021 – Analytics Insight

Investors Who Worry About Bitcoin Should Remember These 3 Things – The Motley Fool

Data Science Jobs: Who’s Hiring & Where can You Apply for this Week? – Analytics Insight

Recent Posts

Categories

Archives

Media Sites

Pages

Site admin