Page 2,730«..1020..2,7292,7302,7312,732..2,7402,750..»

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

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.

More:

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

Read More..

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

Analytics Insight has listed top AI jobs on LinkedIn to apply in 2021.

The scope of AI is thriving in the most influential tech-savvy era in different industries around the global market. Digital transformation and the advent of the coronavirus pandemic have unlocked immense opportunities for AI to enhance workflow with appropriate business insights. Reputed companies, as well as start-ups, have initiated to adopt the functionalities of AI to have an edge in 2021. Thus, there is a huge demand for AI jobs worldwide on LinkedIn. Organizations require professionals to provide top-notch service in transforming multiple sets of real-time data into in-depth outcomes.

Several reputed companies are ready to recruit AI professionals throughout the year with lucrative salary packages Amazon, Facebook, Google, Microsoft, IBM, Intel, Apple, Uber, and many more.

AI specialist is one of the popular AI jobs available on LinkedIn with openings from various reputed companies. The candidate has to be familiar with some major AI technologies to push the business forward. The technical know-how should help AI specialists to build hassle-free applications for better customer engagement chatbots, face recognition, NLP, and so on. AI specialists should be able to help the company adapt to the cutting-edge technologies in the global market. The purpose of this role is to program computers in testing hypotheses to cognitive simulations.

Salary package: $160,000 per annum

Reputed companies have opened Big Data architect job offerings with lucrative salary packages across the world. The companies want to recruit candidates who have completed a Ph.D. in computer science or any other related field with practical experience in managing different programming languages such as Java, Python, R, C++, and so on. The responsibility is to develop a Big Data environment for organizations with Hadoop or Spark systems.

Salary package: US$150,000 per annum

The role of an ML engineer is to build and manage platforms for efficient service in AI-based projects in an organization. The engineer should have a clear understanding of applied research, data science as well as multiple advanced programming languages. The basic knowledge of predictive analytics, NLP, Eclipse, and IntelliJ are required to be professional in machine learning.

Salary package: US$145,000 per annum

According to LinkedIn, the demand for data scientists has seen tremendous growth since the hit of the pandemic. The supply of real-time data is increasing for companies to manage the complex sets appropriately. Thus, having sufficient knowledge of data management, data mining, Hive, Hadoop, Spark with statistical models is an added advantage to candidates who aspire to be successful data scientists.

Salary package: US$130,000 per annum

Reputed companies are implementing BI into their existing systems for appropriate research to meet the needs and want of the customers and target audience. The demand for BI developers is increasing to enhance the profitability of a business in the long run. The responsibility is to design, model, and maintain complex real-time data in hi-tech cloud-based platforms. The candidate is required to have hands-on experience in data warehouse design, SQL, and other BI technologies.

Salary package: US$100,000 per annum

Share This ArticleDo the sharing thingy

Excerpt from:

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

Read More..

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

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

Read More..

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

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

Read More..

Henry Schein One Acquires Majority Interest in Jarvis Analytics – Business Wire

MELVILLE, N.Y.--(BUSINESS WIRE)--Henry Schein One, a subsidiary of Henry Schein, Inc. (Nasdaq: HSIC), announced today that it has acquired an 80% ownership position in Jarvis Analytics, a software company that develops comprehensive business analytics tools to help dental practitioners and their teams use data to diagnose problems, strengthen decision-making, and improve business performance.

Dallas-based Jarvis Analytics was founded by Steven Maroulis in 2017. Maroulis will continue to manage Jarvis Analytics and lead the Henry Schein One Dental Analytics business as Executive Director. The expected 2021 financial results from Jarvis Analytics are immaterial to Henry Schein One. The acquisition will be neutral to Henry Scheins 2021 earnings per share and accretive thereafter. Additional financial terms were not disclosed.

This partnership further demonstrates our commitment to offer the latest advances in technology through Henry Schein One, making it possible for dental practices to improve nearly every aspect of their business management, said Stanley M. Bergman, Chairman of the Board and Chief Executive Officer of Henry Schein. We look forward to a strong partnership with Jarvis that will enable dental teams to use data more effectively to build a better business.

Dental practices have tremendous amounts of data stored in practice management systems, such as Henry Scheins market-leading Dentrix, Dentrix Ascend, and Dentrix Enterprise, as well as systems for patient relationship management, finance, marketing, and more. Unfortunately, many dental practices do not yet consolidate and analyze this disparate data. Jarvis simplifies the collection of data from multiple sources and organizes it so the information can be presented in real-time reports, dashboards, and other methods. Jarvis analytics tools can also help identify the impact positive changes may have on projected revenue, including hygiene recall, patient retention, case acceptance, and collection.

Data mining is the new vehicle for accelerating dental business growth. Dental practices that know how to use dental analytics to analyze their data can see what has happened, what is happening, and make informed decisions about the changes they should make to improve performance, said Mike Baird, Chief Executive Officer of Henry Schein One. The addition of Jarvis Analytics means dental teams will benefit by having a trusted partner with the size and expertise of Henry Schein One to enhance and support their dental analytics solutions. With these insights, practices owners and dental management teams can make better decisions to improve efficiency, increase revenue, and maintain clinical excellence.

Jarvis Analytics will continue to be practice management system agnostic, working with more than 10 practice management systems, including Dentrix, Dentrix Ascend, and Dentrix Enterprise. The analytics tools offered by Jarvis Analytics will eventually become integrated into select Henry Schein One practice management systems, making it possible to deliver one digital workflow that simplifies management while improving business performance.

From day one, our vision has been to help dental practitioners turn practice management data into powerful insights, said Mr. Maroulis. Our customers recognize the value of data analytics and have chosen to embed it into every layer of their business to drive operational efficiencies and growth. Were excited for the future and look forward to the critical role Jarvis will undertake to help Henry Schein One become the leader in dental analytics solutions for dental businesses of any size.

About Henry Schein OneHenry Schein One, a subsidiary of Henry Schein, Inc. established in partnership with Internet Brands in 2018, is a software company providing integrated software and services to the dental industry. Headquartered in American Fork, Utah, the company offers market-leading solutions for dental practices, including Dentrix, Dentrix Ascend, Dentrix Enterprise, Easy Dental, TechCentral, Demandforce, Sesame Communications, Lighthouse360, Officite, and DentalPlans.com as well as solutions offered through international companies, including Software of Excellence, Logiciel Julie, InfoMed, axiUm, and LabNet, among others. For more information, visit http://www.henryscheinone.com.

About Henry Schein, Inc.Henry Schein, Inc. (Nasdaq: HSIC) is a solutions company for health care professionals powered by a network of people and technology. With more than 20,000 Team Schein Members worldwide, the Company's network of trusted advisors provides more than 1 million customers globally with more than 300 valued solutions that help improve operational success and clinical outcomes. Our Business, Clinical, Technology, and Supply Chain solutions help office-based dental and medical practitioners work more efficiently so they can provide quality care more effectively. These solutions also support dental laboratories, government and institutional health care clinics, as well as other alternate care sites.

Henry Schein operates through a centralized and automated distribution network, with a selection of more than 120,000 branded products and Henry Schein private-brand products in stock, as well as more than 180,000 additional products available as special-order items.

A FORTUNE 500 Company and a member of the S&P 500 index, Henry Schein is headquartered in Melville, N.Y., and has operations or affiliates in 31 countries and territories. The Company's sales reached $10.1 billion in 2020, and have grown at a compound annual rate of approximately 12 percent since Henry Schein became a public company in 1995.

For more information, visit Henry Schein at http://www.henryschein.com, Facebook.com/HenrySchein, and @HenrySchein on Twitter.

Cautionary Note Regarding Forward-Looking Statements

In accordance with the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995, we provide the following cautionary remarks regarding important factors that, among others, could cause future results to differ materially from the forward-looking statements, expectations and assumptions expressed or implied herein. All forward-looking statements made by us are subject to risks and uncertainties and are not guarantees of future performance. These forward-looking statements involve known and unknown risks, uncertainties and other factors that may cause our actual results, performance and achievements or industry results to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. These statements are generally identified by the use of such terms as may, could, expect, intend, believe, plan, estimate, forecast, project, anticipate, to be, to make or other comparable terms. Factors that could cause or contribute to such differences include, but are not limited to, those discussed in the documents we file with the Securities and Exchange Commission (SEC), including our Annual Report on Form 10-K. Forward looking statements include the overall impact of the Novel Coronavirus Disease 2019 (COVID-19) on the Company, its results of operations, liquidity, and financial condition (including any estimates of the impact on these items), the rate and consistency with which dental and other practices resume or maintain normal operations in the United States and internationally, expectations regarding personal protective equipment (PPE) and COVID-19 related product sales and inventory levels and whether additional resurgences of the virus will adversely impact the resumption of normal operations, the impact of restructuring programs as well as of any future acquisitions, and more generally current expectations regarding performance in current and future periods. Forward looking statements also include the (i) ability of the Company to make additional testing available, the nature of those tests and the number of tests intended to be made available and the timing for availability, the nature of the target market, as well as the efficacy or relative efficacy of the test results given that the test efficacy has not been, or will not have been, independently verified under normal FDA procedures and (ii) potential for the Company to distribute the COVID-19 vaccines and ancillary supplies.

Risk factors and uncertainties that could cause actual results to differ materially from current and historical results include, but are not limited to: risks associated with COVID-19, as well as other disease outbreaks, epidemics, pandemics, or similar wide spread public health concerns and other natural disasters or acts of terrorism; our dependence on third parties for the manufacture and supply of our products; our ability to develop or acquire and maintain and protect new products (particularly technology products) and technologies that achieve market acceptance with acceptable margins; transitional challenges associated with acquisitions, dispositions and joint ventures, including the failure to achieve anticipated synergies/benefits; financial and tax risks associated with acquisitions, dispositions and joint ventures; certain provisions in our governing documents that may discourage third-party acquisitions of us; effects of a highly competitive (including, without limitation, competition from third-party online commerce sites) and consolidating market; the potential repeal or judicial prohibition on implementation of the Affordable Care Act; changes in the health care industry; risks from expansion of customer purchasing power and multi-tiered costing structures; increases in shipping costs for our products or other service issues with our third-party shippers; general global macro-economic and political conditions, including international trade agreements and potential trade barriers; failure to comply with existing and future regulatory requirements; risks associated with the EU Medical Device Regulation; failure to comply with laws and regulations relating to health care fraud or other laws and regulations; failure to comply with laws and regulations relating to the confidentiality of sensitive personal information or standards in electronic health records or transmissions; changes in tax legislation; litigation risks; new or unanticipated litigation developments and the status of litigation matters; cyberattacks or other privacy or data security breaches; risks associated with our global operations; our dependence on our senior management, as well as employee hiring and retention; and disruptions in financial markets. The order in which these factors appear should not be construed to indicate their relative importance or priority.

We caution that these factors may not be exhaustive and that many of these factors are beyond our ability to control or predict. Accordingly, any forward-looking statements contained herein should not be relied upon as a prediction of actual results. We undertake no duty and have no obligation to update forward-looking statements.

Read more here:

Henry Schein One Acquires Majority Interest in Jarvis Analytics - Business Wire

Read More..

Lifesciences Data Mining and Visualization Market Analysis, Trends, Top Manufacturers, Share, Growth, Statistics, Opportunities & Forecast to 2026…

The Lifesciences Data Mining and Visualization market report provides a detailed analysis of this business space. The market is analyzed in terms of production as well as consumption. Based on the production aspect, the report includes particulars pertaining to the manufacturing processes of the product, alongside revenue and gross margins of the respective manufacturers. The unit cost decided by the producers across various regions during the forecast period is also included in the report.

Additionally, the study comprises of insights regarding the consumption pattern. Information concerning the product consumption volume and product consumption value is mentioned in the document. The individual sale price along with the status of the export and import graphs across various regions are provided. Meanwhile, an in-depth analysis of the production and consumption patterns during the estimated timeframe has been given.

A summary of the geographical landscape:

Request Sample Copy of this Report @ https://www.express-journal.com/request-sample/412378

An overview of the product landscape:

An outline of the application spectrum:

A gist of the competitive landscape:

In a nutshell, the Lifesciences Data Mining and Visualization market report encompasses details about the equipment, downstream buyers and upstream raw materials. Growth factors impacting this industry vertical in consort with the marketing strategies implemented by the manufacturers have been analyzed and provided in the research report. The Lifesciences Data Mining and Visualization market study report also offers insights regarding the feasibility of new investment projects.

Report Objectives:

Request Customization on This Report @ https://www.express-journal.com/request-for-customization/412378

Go here to read the rest:

Lifesciences Data Mining and Visualization Market Analysis, Trends, Top Manufacturers, Share, Growth, Statistics, Opportunities & Forecast to 2026...

Read More..

Wizards of Tech: Top Artificial Intelligence Professors in India – Analytics Insight

Here is the list of the top 10 AI professors who help their students excel in technology.

Artificial intelligenceand other disruptive technologies likemachine learning,natural language processing, data analytics, cloud computing, etc. are created by humans to make life easier. They are mostly human-based, which means they resemble or work like us. The trigger behind all the technological developments inartificial intelligence advances and influences speech recognition, visual perception, language identification, decision making, etc. Further, the efforts are turned to machines that we use in our daily life. To scholar disruptive technologies, aspirants need clear people who can provide guidance and help them achieve their goals. That is whatartificial intelligence professorsdo in colleges. Artificial intelligenceprofessors in Indiaand elsewhere elaborate their students on technology and motivate them to achieve big things in life. Analytics Insight has listed the top 10artificial intelligence professorswho offer the right opportunity to students and help them excel in their interested fields.

Balaraman Ravindran is the Mindtree Faculty Fellow and a professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Madras. He also heads the Robert Bosch Centre for Data Science and AI at the IITM. Ravindran holds a PhD in computer science from the University of Massachusetts, Amherst. Currently, his research interests are centred on learning from and through interactions and span the area of data mining, social network analysis, and reinforcement learning. Ravindran has published over 100 papers in journals and conferences, including premier venues such as ICML, AAAI, IJCAI, etc.

LinkedIn-Balaraman Ravindran

Umesh Bellur is the Head of the Department of Computer Science at the Indian Institute of Technology Bombay (IITB). He holds a B.E in Electronics Engineering from Bangalore University and secured his PhD in Computer Engineering from Syracuse University, New York. Bellur is interested in anything distributed around virtualization and cloud computing where he is looking at problems in derivative clouds and serverless computing, VM provisioning, placement, and migration. As an educational professional, he is skilled in distributed systems, Linux, Algorithms, C/C++/Python, and cloud computing.

LinkedIn-Umesh Bellur

Pulak Ghosh is IIMB Chair of Excellence and Professor of Decision Sciences at the Indian Institute of Management, Bangalore (IIMB). Ghosh specializes in intersections of big data, machine learning, artificial intelligence, and its use in economics, finance, policy, and social value creation. Before joining IIMB, he served as Associate Director, Novartis Pharmaceuticals. He also held teaching jobs as Assistant Professor at Georgia State University ad Associate Professor at Emory University, USA. Ghosh also served in the Advisory group of big data at the United Nations (UN) Global Pulse, a big data initiative by the UN and the knowledge commission of UNESCO-MGEIP.

LinkedIn-Pulak Ghosh

Sanjiva Prasad is the professor and head of the Department of Computer Science and Engineering, Indian Institute of Technology Delhi (IITD). He received his B.Tech in Computer Science from IIT Kanpur in 1985 and his MS and PhD in Computer Science from SUNY, Stony Brook, USA. Prasads research interests are in the broad area of formal methods, programming language and their semantics, concurrency theory, verification, proof theory, mobile computation, formal foundations of networks, including IoT and SDN, security. He is specially focused on information flow and formal methods for reconfiguration architecture.

LinkedIn-Sanjiva Prasad

Pushpak Bhattacharyya is a professor of Computer Science and Engineering Department IIT Bombay. His area of research is natural language processing and machine learning. He currently holds the Major Bhagat Singh Rekhi Chair Professorship of IIT Bombay. Before joining IITB, he worked as the director of IIT Patna and served as the President of the Association of Computational Linguistics. Due to his interest in NLP and machine learning, Bhattacharyya has published more than 350 research papers on the topics. He also authored a textbook called Machine Translation.

LinkedIn-Pushpak Bhattacharyya

Suyash P. Awate is the Associate Professor of the Computer Science and Engineering Department, IIT Bombay. His interests are in image analysis, medical image computing, machine learning, computer vision, statistical modelling, and inference. Awate has done research on statistical shape analysis, kernel methods, image classification, image quantification, image reconstruction, statistical analysis of the cemetery of the human brain cortex, image restoration and denoising, image segmentation, and image registration. He has authored and published many papers on image analysis technology.

Chiranjib Bhattacharyya is the Professor and Chair of the Department of Computer Science and Automation at Indian Institute of Science. His interests are centred on machine learning, convex optimization, and bioinformatics. He holds BE and ME degrees, both in Electrical Engineering, from Jadavpur University and the Indian Institute of Science. Bhattacharyya completed his PhD from the Department of Computer Science and Automation, IISc. Before joining IISc, he worked as a postdoctoral fellow at UC Berkeley. Bhattacharyya has authored papers in leading journals and conferences in machine learning.

Susheela Devi is a Principal Research Scientist in the Department of Computer Science and Automation at IISc, Bengaluru. She has a keen interest in the field of pattern recognition, data mining, and soft computing. In her role, she educates students on data structures and algorithms, computational methods of optimization, artificial intelligence, intelligent agents, topic in pattern recognition, data mining for proficiency, algorithms and programming, and soft computing.

LinkedIn- V. Susheela Devi

Sudeept Mohan is the Head of the Department of Computer Science and Information Systems at Birla Institute of Technology and Science, Pilani. His interest centres on intelligent control and robotics. Mohan has spent all his learning years at BITS Pilani. He holds degrees in B.E in Electrical & Electronics, M.Sc in Physics, M.E in Electronics and Control, and PhD in Control of Robot Manipulators, all from BITS Pilani.

Rajeswari Sridhar is the Head of the Department of Computer Science and Engineering at the National Institute of Technology, Trichy. Her area of interest includes data structures and algorithms, compilers, machine learning and deep learning, artificial intelligence, natural language processing, data science and analytics, and cloud computing. Sridhar secured her B.E degree in ECE from Government College of Technology, Coimbatore and M.S in Computer Science from City University, USA. She also holds a PhD in CSE from Anna University, Chennai.

LinkedIn-Rajeswari Sridhar

Go here to read the rest:

Wizards of Tech: Top Artificial Intelligence Professors in India - Analytics Insight

Read More..

Challenge to education – The Statesman

Ayear ago, most stakeholders in the education process were blindsided by the realization that closure of educational institutions were to be for an indefinite period. Accepting that education had to be carried out in the virtual medium, there was overnight a flood of online platforms catering to the newfound necessity of contacting the student community and keeping a semblance of education going under severe socio-economic conditions. The immediate crisis that came to the fore tore across the student community and the proverbial divide between the haves and have-nots was put into the sharpest focus, unseen across generations.

Dependence on the internet and suitable and expensive mobility equipment immediately threw almost half of the nations student population out of the educational system. Compounded by the fact that sudden closure of establishments rendered millions without the basic necessities of existence, it was a foregone conclusion that poverty would push another 30 per cent of the student population out of the reach of educational institutions. Effectively, within a month, the active student population of the country shrunk by 80 per cent and by June 2020 it was a foregone conclusion that most of the dropouts would be unable to return to the fold in the near future.

For a country whose policy makers and stakeholders had been exerting themselves continuously to bring down student drop-outs to single digit percentages, the sudden turn of events annulled decades of painstaking reach-out to bring in inclusive education across the country. Also, the sudden closure of educational institutions and the consequent mass dropouts across the country rendered the newly framed National Educational Policy practically infructuous in the short and medium run. The crisis is not limited to our country with UNESCO figures claiming a total drop-out number of 1.6 billion children on a modest estimate.

Such dropout figures are not limited to south Asia or sub-Saharan Africa but encompass countries as diverse and advanced as the middle-income economies of Brazil, Argentina, Mexico, Spain and Portugal. Clearly, Covids impact on education is not merely universal but is also incomprehensible in its extent, range and depth. In order to frame recovery policies, comprehensive data-mining efforts have been planned and are under various stages of implementation. The chief among them is the UNESCO-UNICEFWorld Bank joint survey on National Educational Response to Covid-19 School Closures and the Covid-19 Global Educational Recovery Tracker, a new tool developed in partnership by Johns Hopkins Universitys e-School+ Initiative, UNICEF and the World Bank.

The primary focus of this global outreach is to monitor school reopening and aid recovery planning efforts in more than 200 countries and territories. Initial data, as of April 2021 reveal that more than 168 million children globally have been shut out of any form of in-person learning for almost an entire year. Alarmingly, this figure does not include the children who have dropped out of school entirely as a result of the pandemic. Covid-induced educational disruptions in India are increasingly bringing out other equally serious manifestations of the harm inflicted by the pandemic on education.

While active involvement of the mobile service providers and equipment manufacturers for communication devices have mitigated the hardship to the student community to a large extent by increasing the coverage of mobile services and availability of cheaper equipment, it is increasingly becoming clear that education and assessment in the virtual medium are exposing their own patterns of disruptions, most of which threaten to expand to life-long cognitive debilities.

In the Indian context, the greatest challenge to education has come from the exclusive but unavoidable reliance on the virtual medium. While personal proximities and close physical monitoring of progress has been the hallmark of our education from time immemorial, virtual teaching has significantly eroded the role of the teaching community from exercising effective control of their instructions, with most teachers still struggling to know the number of students actively participating in the virtual instruction. The scenario with online examinations and evaluation is more precarious.

While we have adopted a blended evaluation mode, closely resembling the western concept of the open-book examination, it is commonly seen that the evaluation has reduced itself to students copying answers at home from books or the web and transferring them to institutions for evaluation. Needless to say, they end up with marks which are at the upper end of the spectrum. Clearly, such evaluation and the inflated marks they carry are not only poor indicators of student proficiency, but may actually turn counterproductive for such students in the long run with the stigma of having been evaluated under such farcical circumstances sticking to them before future employers and institutional job providers.

This is compounded by the huge cognitive and academic deficiencies that the student community is facing with most stakeholders agreeing that effective online instruction is easier said than done. The challenge to the teaching community is no less profound. Within the space of a year, teachers have been burdened not only with managing online classes and evaluation but are constantly weighted down by a constant stream of online teaching products competing for their attention, most being repetitive applications and redundant online methodologies.

Such inane teaching technologies have significantly diverted the energy of the teaching and educational administrative community; such energy could have been better used in augmenting effective instructional and evaluation efforts. Under such challenging circumstances, the need of the hour is to garner a talent pool of stakeholders to steer education at such a critical time. Clearly, conventional policy bureaucratese would serve little purpose. Also, Indian educational contexts and conditions are radically different from international scenarios and we would not have the luxury of adopting foreign strategies which would face strong headwinds in micro-level educational contexts in our country.

Mitigating the severe setback to education and rehabilitating the compromised education of millions of students across the country through appropriate remedies are the only ways in which damage to our student community can be minimized. A year into the pandemic and the long-term impact on education is already threatening an entire generation of our youth through poor skill attainment and compromised instruction. This shall directly impact their ability to attain proficiencies for employability. The talent pool bottleneck this crisis shall create would threaten and choke the services and manufacturing sectors in the long run, thereby impacting the economy as a whole. The earlier this long-term danger is understood and addressed, the better it would be for our community.

(The writer is Assistant Professor of English, Pratilata Waddedar Mahavidyalaya, West Bengal)

Excerpt from:

Challenge to education - The Statesman

Read More..

Everything We Know About Twitter’s New Premium Service – Tech.co

In earnest, it's far too early to tell whether or not Twitter Blue is going to worth the added cost. Particularly with social media, it's hard to imagine a world in which paying for a free service is worth it, even for the paltry price of $2.99 per month.

However, with social media trending towards paid services, Twitter could be establishing itself on the ground floor of an innovative movement. After all, the platform just launched the Tip Jar feature, alluding to a financially-driven future for the app.

If all goes according to plan, Twitter could set itself up to shirk the infamously unpopular data-mining practices of the industry, particularly with companies like Google and Apple throwing up road blocks to the sketchy methodology for making money.

Paying for social media is going to be a tough barricade to break down after a decade and a half of cost-free scrolling. But hey, maybe it'll be the push some of us need to go outside and enjoy social interactions the old fashioned way again.

Revamp your online presence with the best social media management software

More here:

Everything We Know About Twitter's New Premium Service - Tech.co

Read More..

Cryptocurrency Crash: Is It Time to Buy the Dip? – The Motley Fool

It's been a stress-filled month for cryptocurrency investors. Major sell-offs started after Tesla CEO Elon Musk stated that the company would no longer accept Bitcoin (CRYPTO:BTC) as payment for its vehicles, citing environmental concerns about the energy needed to mine tokens. News that China would take steps to discourage mining and prevent businesses in the country from adopting cryptocurrencies triggered additional sell-offs across thespace.

With crypto prices recently seeing a substantial pullback, we put together a panel of three Motley Fool contributors and asked each member if now looks like the right time to buy. Read on for their takes on whether the recent crypto crash has presented a big buying opportunity.

Image source: Getty Images.

Keith Noonan: Elon Musk is clearly an influential figure and has some incredible successes to his name, and it's possible his involvement in the cryptocurrency space provides indicators about long-term adoption trends. However, in my opinion, the market-moving power of Musk's tweets reflects a lack of soundness in crypto as an asset class.

While most cryptocurrencies are decentralized in terms of who controls the individual coin, Musk's comments have apparently been enough to trigger big swings for Bitcoin and the overall crypto market. Many coins are also more "centralized" than some investors think. As Musk himself noted, flooding in China's Xinjiang region resulted in a dramatic reduction of the Bitcoin hash rate. As another example, roughly 100 accounts control the large majority of Dogecoin's (CRYPTO:DOGE) total coin supply.

There are already thousands of cryptocurrencies on the market, and new ones are entering the fray all the time. Many of these tokens are essentially indistinguishable in terms of utility, and there's not much to stop even the more specialized cryptocurrencies from being disrupted by new entrants in the space.

Here's another issue: While the recent sell-offs are significant and surely painful for some investors, they're also not that big in the scheme of things. Ethereum's (CRYPTO:ETH) price has climbed 1,150% over the last year, while Dogecoin has exploded 13,310% across the same stretch. Bitcoin is still up roughly 300% over the last year and stands as the single-best performing asset of the last decade.

On the most basic level, value is subjective. If enough people believe in something and continue to attract new adherents to their way of thinking, that can drive the value of almost anything higher. However, when identifying potential investment candidates, I usually try to look for more objective metrics and trend indicators that paint a picture of why people will be likely to ascribe increasing value to an asset or equity. I struggle to find those characteristics in most cryptocurrencies, and dramatic volatility in the space stemming from seemingly minor catalysts makes me concerned that the overall asset class is still due for a much bigger pullback.

James Brumley: I understand the logic. Cryptocurrencies like Bitcoin and Dogecoin have dished out incredible gains. Just when it looked like they couldn't go any higher, they went higher. Their recent sell-offs seem out of the ordinary.

The problem is, nobody can actually explain why these sell-offs took shape. They just happened without explanation, much the same way cryptos climbed for so long without explanation.

This unexplained volatility underscores the gaping, philosophical flaw of cryptos. That is, although they're being touted as an alternative to fiat (government-issued) currency, they're being treated -- and traded -- like growth investments. It's a recipe for the market turning into a proverbial Wild West, which it has.

Sure, non-fiat currencies are appealing in an environment where governments appear to be losing control of their piece of the global economy. I also recognize physical money is the past while secure, digital money is the future. But at least the world's central banks are able to maintain some semblance of price stability for their respective currencies. Nobody's attempting to hold the prices of cryptos steady; nobody's even in a position to do so. That's why they're not reliable stores of value, which is the whole point of holding a particular currency.

So, buy on this dip if you must; I'd certainly never say you can't make money with them. Just recognize you're only speculating on how other people will arbitrarily feel about cryptocurrencies at some point in the future. That's little more than a coin toss.

Eric Volkman: I don't feel cryptocurrencies are attractive at current rates, no matter how many bargain hunters claim they're oversold (for the record, the crypto of all cryptos -- Bitcoin -- is down a queasy 34% from its mid-May peak; others have also plummeted).

One very good reason to continue staying away is a concern that continues to dog cryptocurrencies: safety and security. Take good old-fashioned hacking. While it's nearly impossible for a team of cyber pirates to raid the ever-lengthening distributed blockchain that undergirds any serious cryptocurrency, other facets of the system are vulnerable to attack.

Remember Mt. Gox? That was the Bitcoin exchange that hackers penetrated in 2014, stealing 850,000 Bitcoins. If the heist were to occur today, that pile would be worth a dizzying $33.5 billion. And at the time, Mt. Gox was the king of the world's Bitcoin exchanges, but that hack made it a future trivia question. Less than four years after its launch, Mt. Gox was a goner.

While security has advanced since then, the crypto exchanges remain vulnerable. Last August, researchers at the Black Hat security conference found not one, not two, but three methods through which hackers could make effective attacks against such platforms. This, despite the billions of dollars and immense brainpower and resources plowed into securing these sites.

Another classic means of separating assets from their owners, phishing, was responsible for the theft of roughly $200 million worth of crypto assets from various exchanges. That scam had been running for two years when it hit the headlines in mid-2020.

While any financial asset is vulnerable to a phishing attempt, the volatility and sky-high dollar prices for certain cryptos make their holders particularly juicy targets these days.

(Phishing, for those unfamiliar, is the method by which a scammer impersonates a person in a position of authority to ask for sensitive information from a victim. Once obtained, that information is used to access valuable property for theft.)

Another security concern is the decentralized nature of cryptocurrencies. This is a key selling point for such assets, as governments, central banks, and other important policy makers can't tinker with them for political or economic advancement.

But the flip side of that is they are subject to worryingly little regulation. The U.S. banking system, for instance, has a clutch of regulatory agencies watching and protecting it, from the federal level on down. To name one, traditional banking accounts held by an individual are automatically insured for up to $250,000 by the Federal Insurance Deposit Corporation (FDIC).

There's no U.S. public agency that insures $250,000 worth of Bitcoin.

So no, I don't think cryptos are a buy on weakness right now. In fact I'm not convinced they're a buy, period.

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.

View original post here:
Cryptocurrency Crash: Is It Time to Buy the Dip? - The Motley Fool

Read More..