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“Above the Trend Line” – Your Industry Rumor Central for 5/6/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Thinking about Privacy in the Fight Against COVID-19

In this contributed article, Guy Cohen, Head of Policy at Privitar, unpacks the process of location data and how it’s being used to combat coronavirus but falling short in privacy considerations, and calls for action from data privacy and IT leaders to ensure the steps we take in analyzing location data are necessary, well governed and time limited through transparency and choice, data minimalization, purpose limitation and anonymization.

Enhancing Predictive Cognitive Computing Models with Traditional Data Modeling

In this contributed article, editorial consultant Jelani Harper suggests that with so much attention devoted to the purported wonders of predictive cognitive computing models (typically characterized by classic machine learning and deep learning), it’s easy to lose sight of the conventional data models underpinning these applications.

Podcast Highlights: Data Stories

Today’s feature podcast series comes from Data Stories which is hosted by Enrico Bertini and Moritz Stefaner. This podcast talks about data and its repercussions on our lives.

The 3 Pillars of Digital Experience

In this contributed article, Katie Boschele, Product Manager at Lucidworks, offers three pillars to provide a useful framework for thinking about how your ecommerce platform needs to operate to compete in today’s market.

Podcast Highlights: Data Crunch

Today’s feature podcast series comes from Data Crunch Corporation. The Data Crunch podcast is for those data science, AI, machine learning and deep learning enthusiasts out there who want to know more about the technology’s impact on the world and how it is being utilized in every part of society, from medicine to finance.

Why Companies Should Be Proactive about S/4HANA Migration

In this contributed article, Derek Oats, CEO and President of SNP. discusses why enterprises need to start thinking about SAP S/4 HANA migration strategy and the steps necessary to prepare. As enterprises evaluate the various migration options and strategies, it’s important to remember that complex migrations can take time, from initial planning through to final execution. Start the migration process now to get ahead of the curve and gain the advantages of S/4HANA long before the 2027 deadline.

Podcast Highlights: O’Reilly Data Show

Today’s feature podcast series comes from venerable O’Reilly Media that brings us compelling books (with different animals on the cover) on data science, programming, AI, machine learning, etc. The O’Reilly Data Show explores the opportunities and methodologies propelling data science, big data, and AI.

Microsoft Announcements on Azure Artificial Intelligence

In this contributed article, Arindam Ray Chaudhuri, COO at AgreeYa, shares the new and exciting Azure AI developments. With the effective utilization of Azure Machine Learning, Azure Databricks and ONNX, organizations can build, train and deploy their machine learning models efficiently and seamlessly.

Podcast Highlights: Towards Data Science

Today’s feature podcast series comes from one my favorite data science blogs, Towards Data Science, which has consistently high-quality content to expand your knowledge of the field. Use the link to browse the 21 podcast series. Enjoy!