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This Week in Data Science - Top 5 News - March 29, 2019

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What's new in data science? Flip through this week's Top 5 to read about key insights and innovations for business leaders: how to build a data science dream team, how Walmart uses NVIDIA GPUs for better demand forecasting, insights from Capital One on reaping success with enterprise machine learning, new data science platforms announced at the GPU Technology Conference, and what business leaders should know about data science.

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This Week in Data Science - Top 5 News - March 29, 2019

  1. 1. INSIGHTS AND INNOVATIONS FOR BUSINESS LEADERS MARCH 29, 2019 DATA SCIENCE TOP 5
  2. 2. 2 THE RACE TO STAY AHEAD WITH DATA SCIENCE IS ON
  3. 3. 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.
  4. 4. 4 DATA SCIENCE TOP 5 Gartner identifies AI as top megatrend Deep learning is changing the world of sports Opinion: “I was worried about AI until it saved my life” PayPal uses AI to protect payments and performance AI predicts melting of sea ice to save communities #1 #2 #3 #4 #5 #1 HOW TO BUILD A DATA SCIENCE DREAM TEAM #2 HOW WALMART USES GPU-ACCELERATED DATA SCIENCE FOR BETTER DEMAND FORECASTING #3 INSIGHTS FROM CAPITAL ONE ON REAPING SUCCESS WITH ENTERPRISE MACHINE LEARNING #4 NEW DATA SCIENCE PLATFORMS ANNOUNCED AT THE GPU TECHNOLOGY CONFERENCE #5 EVERYTHING YOU NEED TO KNOW ABOUT DATA SCIENCE AND HOW BUSINESSES ARE USING IT
  5. 5. 5 HOW TO BUILD A DATA SCIENCE DREAM TEAM “The go-to method in data collection for many has been to ‘collect it all’ and sort it out later, though this data strategy brings up several issues for managing, qualifying, and processing data later on. “The solution? Strong collaboration between data scientists and subject-matter experts (SMEs) on the data is essential for building an infrastructure of capturing data for rapid, accurate decisions.” SOURCE: https://www.forbes.com/sites/nvidia/2019/02/26/how-to-build-a-data-science-dream-team/#b61b1fa5b2d5 #1 LEARN MORE
  6. 6. 6 HOW WALMART USES NVIDIA GPUS FOR BETTER DEMAND FORECASTING “Walmart’s JDA system is currently responsible for crunching historical sales data on a weekly basis to come up with demand forecasts for roughly 500 million item-by-store combinations in the US, said Walmart Labs‘ Distinguished Data Scientist and Director of Data Science John Bowman. “Crunching all that data is computationally challenging, but the reward – more product on the shelves, fewer out-of-stock situations, and increased sales – are worth the cost.” SOURCE: https://www.datanami.com/2019/03/22/how-walmart-uses-gpus-for-better-demand-forecasting/ #2 LEARN MORE
  7. 7. 7 INSIGHTS FROM CAPITAL ONE ON REAPING SUCCESS FROM MACHINE LEARNING Organizations in every industry are rapidly embracing machine learning to enable and accelerate their business transformation fueled by data. With the advent of GPU-accelerated data science, businesses are realizing faster time- to-insight, making organizations more productive and cost-efficient, gaining competitive advantage. Capital One senior director Zach Hanif shares his insights on what every business should know as they seek to tap into the power of AI and machine learning. SOURCE: https://www.forbes.com/sites/nvidia/2019/02/27/reaping-success-with-enterprise-machine-learninginsights-from-capital-one/#7c7a000e265d #3 LEARN MORE
  8. 8. 8 NEW DATA SCIENCE PLATFORMS ANNOUNCED AT THE GPU TECHNOLOGY CONFERENCE “The number of data scientists has exploded and is instrumental in helping almost every vertical digital transform. One of the challenges for companies is giving data scientists the right technology to do their jobs, which require massive computing power.” At the GPU Technology Conference (GTC), NVIDIA announced several data science platforms, from high-performance workstations to optimized enterprise servers, to support data scientists in their work and help businesses improve productivity and performance. SOURCE: https://www.eweek.com/pc-hardware/new-data-science-platforms-highlight-nvidia-s-gpu-conference #4 LEARN MORE
  9. 9. 9 WHAT BUSINESS LEADERS NEED TO KNOW ABOUT DATA SCIENCE Enterprises and their leaders who are looking to get started should first get familiar with the fundamentals of deep learning and the corresponding terminology, as well as understand the current challenges to AI adoption and how to address them. This Forbes article provides a definitive overview of the topic, along with links to several resources that you may find useful. SOURCE: https://www.forbes.com/sites/nvidia/2019/02/28/from-deep-learning-to-data-science-everything-you-need-to-know/#340676693bf9 #5 LEARN MORE
  10. 10. STAY CURRENT ON THE LATEST INNOVATIONS IN DATA SCIENCE LEARN MORE

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