In this contributed article, Barrett Thompson, General Manager of Commercial Excellence at Zilliant, discusses how most companies are still falling behind the curve when it comes to managing valuable business data, and are often trying to combat costs of working in disparate systems. Why are so many leaders resisting positive change when it comes to managing and evaluating valuable business information?
Book Excerpt: Data, Technology, and Algorithms
May 13, 2024 by
The following is excerpted from Data Rules: Reinventing the Market Economy by Cristina Alaimo and Jannis Kallinikos. Reprinted with permission from The MIT Press. Copyright 2024.
Keep it Simple, Storage
May 10, 2024 by
In this contributed article, Jordan Winkelman, Quantum’s Field CTO, discusses how organizations across industries are facing a shift in infrastructure and storage requirements to deliver incredible performance, flexibility, and scalability on a level we’ve never seen before because of the proliferation of AI technologies. Moving forward, there will be a major focus on simplicity in storage—often through the use of AI—to keep up with changing demands, allowing organizations to maximize AI to give them a competitive advantage.
Heard on the Street – 5/9/2024
May 9, 2024 by
Welcome to insideAI News’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 to give you a competitive advantage in the marketplace.
Leveraging Big Data for Enhanced Cybersecurity Solutions
May 3, 2024 by
In this contributed article, Alexander Norell of VikingCloud explores how big data analytics can significantly improve cybersecurity strategies by enabling more accurate threat detection and real-time response capabilities.
Avoid these 8 Data-related Mistakes on Data Projects
April 29, 2024 by
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects
Heard on the Street – 4/25/2024
April 25, 2024 by
Welcome to insideAI News’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 to give you a competitive advantage in the marketplace.
Heard on the Street – 4/18/2024
April 18, 2024 by
Welcome to insideAI News’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 to give you a competitive advantage in the marketplace.
Avoid these 7 Common Business-related Mistakes On Data Projects
April 16, 2024 by
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 7 common business-related mistakes on data projects that all stem from failures in planning, preparation and communication.
Data Insights are Illuminating the Future of the Power Sector
April 11, 2024 by
In this contributed article, David Thomason, Industry Principal – Power Generation at AVEVA, believes that the power sector has more data than ever on nearly every process in its value chain. Now, new technologies are helping make sense of all those details to provide competitive advantages – and it’s not a moment too soon.
