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This Week in Data Science - Top 5 News - April 13, 2019

What's new in data science? Flip through this week's Top 5 to read a report on democratizing data science in organizations, how to hire data scientists, healthcare investing in data science, new GPU-accelerated data science workstations, and the engine of modern data science.

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This Week in Data Science - Top 5 News - April 13, 2019

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  1. DATA SCIENCE TOP 5 INSIGHTS AND INNOVATIONS FOR BUSINESS LEADERS APRIL 12, 2019

  2. THE RACE TO STAY AHEAD WITH DATA SCIENCE IS ON 2

  3. BUSINESS LEADERS HAVE TURNED TO DATA SCIENCE TO DELIVER THE BEST SOLUTIONS AND BEAT THE COMPETITION. SEE THIS WEEK’S TOP 5 HEADLINES ON WHAT’S NEW IN DATA SCIENCE. 3

  4. DATA SCIENCE TOP 5 #1 Gartner identifies AI as top megatrend REPORT: DEMOCRATIZING DATA SCIENCE IN YOUR ORGANIZATION #1 #2 Deep learning is changing the world of sports #2 HOW TO FIND A MUCH SOUGHT-AFTER DATA SCIENTIST #3 Opinion: “I was worried about AI until it saved my life” HEALTHCARE PROVIDERS ARE FEVERISHLY INVESTING IN DATA SCIENCE #3 #4 PayPal uses AI to protect payments and performance #5 AI predicts melting of sea ice to save communities HOW GPU-ACCELERATED DATA SCIENCE WORKSTATIONS ARE TRANSFORMING AI DEVELOPMENT #4 #5 DATA SCIENCE IS POWERING THE ENGINE OF MODERN ENTERPRISE 4

  5. DEMOCRATIZING DATA SCIENCE IN YOUR ORGANIZATION #1 “Since nearly every major company is actively looking for data science talent, the demand has rapidly outpaced the supply of people with required skills. “The skills gap and longer hiring times can cause project delays and higher costs, hindering enterprises’ data analytics efforts. But a number of recent trends may change how companies acquire and apply data science capabilities, presenting savvy companies with ways for alleviating the talent bottleneck.” LEARN MORE SOURCE: https://hbr.org/sponsored/2019/04/democratizing-data-science-in-your-organization 5

  6. HOW TO FIND A MUCH SOUGHT-AFTER DATA SCIENTIST #2 “With many organisations putting data at the heart of their digitisation strategy, analyst firm Gartner predicts the market for data analytics is likely to exceed $100bn in the next few years, suggesting that organisations are driving adoption of initiatives where there is a strong need to invest in analytics. “Gartner’s analysis of earnings statements from public companies shows a strong correlation between the use of the word “data” and reported business growth. The more an organisation can exploit the data it creates to make informed business decisions, the greater its potential to succeed.” LEARN MORE SOURCE:https://www.computerweekly.com/feature/How-to-find-a-much-sought-after-data-scientist 6

  7. HEALTHCARE PROVIDERS ARE FEVERISHLY INVESTING IN DATA SCIENCE #3 “According to new research published in the Journal of the American Medical Informatics Association, healthcare providers are increasingly investing in data scientists. Organizations in nearly every industry are interested in taking advantage of their data, and healthcare providers generate perhaps the most data of any in the world. Healthcare companies are also dealing with a deluge of largely unstructured data, a type of data that, according to IDC, will make up 80 percent of all data in five years.” LEARN MORE SOURCE: https://solutionsreview.com/business-intelligence/healthcare-providers-are-feverishly-investing-in-data-science/ 7

  8. HOW GPU-ACCELERATED DATA SCIENCE WORKSTATIONS ARE TRANSFORMING AI DEVELOPMENT #4 With more data available than ever before for data scientists, it’s crucial to have the right software and hardware solutions to get faster time to insight. The combination of NVIDIA’s CUDA-X AI GPU-accelerated software, including RAPIDS, and the new NVIDIA-powered data science workstations serve as an integrated hardware and software solution for data science that allows you to bypass traditional data center setups to get faster performance and real-world benefits. LEARN MORE SOURCE: https://info.nvidia.com/transforming-ai-development-data-science-workstation-reg-page.html 8

  9. DATA SCIENCE IS POWERING THE ENGINE OF MODERN ENTERPRISE #5 Every industry from retail to financial services to healthcare is deriving insight from data to improve competitiveness and operational efficiency. Even modest improvements in the accuracy of predictive machine learning models can translate into billions for the bottom line. “NVIDIA accelerated data science solution with RAPIDS enables enterprises to tap into GPU- accelerated machine learning (ML) with faster model iteration, better prediction accuracy, and lowest data science total cost of ownership.” LEARN MORE SOURCE: http://resources.nvidia.com/c/data-science-rapids-?x=iGT5QR 9

  10. STAY CURRENT ON THE LATEST INNOVATIONS IN DATA SCIENCE LEARN MORE

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