In this contributed article, editorial consultant Jelani Harper discusses how the centrality of data modeling to data management will likely remain for some time. What’s most notable about this fact is it’s becoming considerably simpler to perform some of the …
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 …
“Above the Trend Line” – Your Industry Rumor Central for 11/16/2022 Read more »
Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, …
In this contributed article, VP, Data Science for 84.51° Insights business, Emily Gibbons, offers tips for building a successful data science organization that delivers ROI. Included is advice for understanding common pitfalls and where to begin – i.e. start small, …
Four Steps to Building a Data Science Organization that Delivers ROI Read more »
In this special guest feature, Chris Plescia, Chief Technology Evangelist, Aware, highlights how conversational platforms and tools such as Slack, Microsoft Teams, Yammer, and Workplace from Meta have made the digital workplace more productive, social and collaborative but they’ve also …
The Chaos of Collaboration Data: Understanding the New Unstructured Data Set Read more »
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights …
In this special guest feature, Chris Plescia, Chief Technology Evangelist, Aware, highlights how conversational platforms and tools such as Slack, Microsoft Teams, Yammer, and Workplace from Meta have made the digital workplace more productive, social and collaborative but they’ve also …
The Chaos of Collaboration Data: Understanding the New Unstructured Data Set Read more »
Being a data-driven organization goes well beyond building a modern data architecture. With vast amounts of data flowing through the enterprise, the challenge lies in making sense of all of that complex information so that everyone, not just the data …
Bridge the data literacy skills gap with data storytelling Read more »
Run:ai, a leader in compute orchestration for AI workloads, announced the launch of the Run:ai MLOps Compute Platform (MCP) powered by NVIDIA DGX™ Systems, a complete, full-stack AI solution for enterprises. Built on NVIDIA DGX systems and using Run:ai Atlas …
With over 15 years of experience in machine learning, neural networks, and computer vision, Microsoft’s Milena Marinova knows a thing or two about using AI for professional growth. In this podcast episode of “Intel on AI,” Milena shares lessons she’s …
Podcast Highlights: “Intel on AI”: Learning with AI Read more »