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The Rise of No-code Knowledge Graphs

In this contributed article, Marta V. Lopata, Chief Growth Officer at Kgbase, discusses the use of knowledge graphs. With a no-code approach, they bring the best of the data science world to medicine, finance, business, education and the arts enabling anyone to generate and visualize unique insights from siloed data sources.

NVIDIA Ships New Advanced AI System — NVIDIA DGX A100: Third-Generation DGX Packs Record 5 Petaflops of AI Performance

NVIDIA today unveiled NVIDIA DGX™ A100, the third generation of the world’s most advanced AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform for the first time. Immediately available, DGX A100 systems have begun shipping worldwide, with the first order going to the U.S. Department of Energy’s (DOE) Argonne National Laboratory, which will use the cluster’s AI and computing power to better understand and fight COVID-19.

“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.