Yesterday’s Pricing Processes are Not For Tomorrow 

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?

Keep it Simple, Storage

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.

Is Generative AI Having Its Oppenheimer Moment?

In this contributed article, Manuel Sanchez, Information Security and Compliance Specialist at iManage, discusses how Generative AI – which burst into the mainstream a little over a year ago – seems to be having an Oppenheimer moment of its own.

Leveraging Big Data for Enhanced Cybersecurity Solutions

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.

Why Integration Data is Critical for Powering SaaS Platforms’ AI Features

In this contributed article, Gil Feig, co-founder and CTO of Merge, discusses how integration data can support AI features and why without successful product integrations, successful AI companies would not exist.

How to Use Raw Data in Web Analytics

In this contributed article, Mateusz Krempa, Chief Operations Officer for Piwik PRO, explores the benefits and challenges of using raw data in analytics, and discusses its potential use cases for gaining valuable insights.

The Solution to Data in Motion Is to Just Stop

In this contributed article, Sida Shen, product marketing manager, CelerData, discusses how data lakehouse architectures promise the combined strengths of data lakes and data warehouses, but one question arises: why do we still find the need to transfer data from these lakehouses to proprietary data warehouses? In this article, we’ll explore how to maximize the efficiency of lakehouses, eliminate data in motion, and streamline data management processes.

Where Artificial Intelligence Is Making a Difference in Healthcare

In this contributed article, Rajesh Viswanathan, Chief Technology Officer for Inovalon, discusses how for the past year, AI was at the center of conversations throughout healthcare. While the potential for AI to revolutionize healthcare is clear, from care delivery to enhancing operational efficiencies and accelerating research, many organizations are still figuring out where to begin.

Why the Modern Data Stack is Broken and How to Fix It

In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.

Data Insights are Illuminating the Future of the Power Sector

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.