Data-Driven Sustainability: Beyond Numbers, Towards Action

In this contributed article, Supratik Shankar, Co-founder of Dview Technologies, explores how data analytics and insights can be leveraged to achieve sustainability goals, the challenges and opportunities in implementing data-driven sustainability initiatives, and the future trends that will shape this field.

Nutanix Accelerates Enterprise Adoption of Generative AI

Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced new functionality for Nutanix GPT-in-a-Box, including integrations with NVIDIA NIM inference microservices and Hugging Face Large Language Models (LLMs) library

Redefining Digital Engagement in a Cookieless World: The Power of AI and Zero-Party Data

In this contributed article, Christian J. Ward, Executive Vice President and Chief Data Officer at Yext, discusses how before January of this year, up to 83% of marketers relied on third-party data sources for personalization strategies. Now, as cookies continue to phase out, those marketers might be facing a crisis — but it could be an opportunity to create more trustworthy, privacy-respecting strategies in the long run.

Embracing the Potential of Data: Beyond the ‘New Oil’ Metaphor 

In this contributed article, Cal Al-Dhubaib, Head of AI and Data Science at Further, discusses why businesses should treat data like radioactive materials—and how to avoid it becoming a liability.

Generating Business Value from Data on Enterprise IT Usage

In this contributed article, Stefano Pilotto, CCO of Zetaly, discusses how mainframes continue to be the workhorses of enterprise computing. Now, with advanced approaches to data management, businesses can unlock insights to optimize mainframe usage in line with operational objectives.

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption

Senior decision-makers know that AI is critical for their business’ viability, yet despite growing stakeholder pressure to implement the technology quickly, regulatory and technological challenges are slowing the process, according to a new report from our friends over at Exasol, the high-performance analytics database provider. Exasol’s 2024 “AI and Analytics Report” investigates the current state of AI implementation, top data analytics challenges, and the future of the C-suite given the explosive growth of data and adoption of emerging technologies.

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?

Book Excerpt: Data, Technology, and Algorithms

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

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

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 to give you a competitive advantage in the marketplace.