Active Archive Alliance Releases Special Report on Active Archives and AI

The Active Archive Alliance today released a special report, “How Active Archives Support Modern AI Strategies.” New artificial intelligence (AI) workflows are creating massive and persistent volumes of data that necessitate long-term retention and protection. Active archives help make AI workflow data easily accessible, searchable and retrievable on whatever storage platform or media it resides.

The Future of AI in Retail Media: Balancing Personalization with Privacy

In this contributed article, Shobhit Khandelwal, CEO and founder of Carter, points out that as competition grows in the retail media space, brands and retailers feel pressured to meet consumer needs. The opportunity to provide unique advertising experiences to consumers increases as AI develops. These rapid developments in AI put us on the precipice of a great revolution in the retail media landscape. 

New Study: 95% of Enterprises Need to Upgrade their Governance for GenAI Workloads

IDC predicts that enterprises are poised to double their 2023 investments in GenAI from $19 billion to $151 billion by 2027. But where are enterprises today on their AI maturity journey? Do they have enough backing from the board? Do they have enough compute? Do they have everything they need to build AI responsibly and safely? And do they have actual AI projects in production with a clear path to ROI? 

Predictive Analytics: A Glimpse into Your Health’s Tomorrow!

In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.

Shining a Light on Dark Data: The Path to Responsible AI Integration

In this contributed article, Soniya Bopache, vice president and general manager, data compliance and governance at Veritas Technologies, discusses how integrating AI into business operations requires addressing the challenge of dark data—unstructured and unused information that can lead to biased or compromised AI outputs. Organizations must prioritize comprehensive data management and governance to ensure AI systems are powered by high-quality data, meeting both operational goals and regulatory compliance.

Employers Are Introducing AI: 77% of Workers Lost on How to Use It

Slingshot’s 2024 Digital Work Trends Report Reveals Employees Haven’t Yet Unlocked The Full Potential of AI in the Workplace Slingshot, the work management platform from software company Infragistics that brings data to the center of everything teams work on, has released Part 1 of its two-part 2024 Digital Work Trends Report. The second annual report reveals a […]

New MLPerf Inference v4.1 Benchmark Results Highlight Rapid Hardware and Software Innovations in Generative AI Systems

Today, MLCommons® announced new results for its industry-standard MLPerf®Inference v4.1 benchmark suite, which delivers machine learning (ML) system performance benchmarking in an architecture-neutral, representative, and reproducible manner. This release includes first-time results for a new benchmark based on a mixture of experts (MoE) model architecture. It also presents new findings on power consumption related to inference execution.

Data Sovereignty in the AI Era

In this contributed article, Yoram Novick, President and CEO of Zadara, discusses how enterprises are in search of and implementing their own AI powered clouds, and the benefits and challenges they face in the effort to keep their data available and secure.

STUDY: AI Adoption Spends Jump Among Enterprises as Eliminating Data Privacy Concerns Remains a Foremost Opportunity for Driving Long-Term Growth and ROI

Searce, a modern technology consulting firm that empowers businesses to be future-ready, released its State of AI 2024 report. Polling 300 C-suite and senior technology executives – including Chief AI Officers, Chief Data & Analytics Officers, Chief Transformation Officers, and Chief Digital Officers – from organizations across the US and UK with at least $500 million in revenue, the report examines some of the biggest trends, successes and challenges facing businesses in their decision-making, strategy and execution as they try to unlock AI growth.

RAND AI Governance Series: How U.S. policymakers can learn from the EU AI Act

RAND kicked off a new series of short reports designed to provide policymakers in the U.S. with potential learnings from the EU AI act on key facets of AI governance. The series, written by researchers on both continents, highlights the need for deepening collaboration between the EU and the U.S. as any regulatory progress in these regions will have far-reaching effects on the broader societal, legal and ethical consequences of AI adoption globally.