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.

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.

Heard on the Street – 8/21/2024

Welcome to insideAI News’s “Heard on the Street” round-up column. In this feature, we highlight thought-leadership commentaries from members of the AI industry ecosystem. We cover the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

New Report – 66% of Data Leaders Want More Governance and Enhanced Security

Informatica recently published a global report highlighting what senior-level data leaders need for a modern and competitive data architecture. A staggering 86% cite the need for improved data management, efficiency and operational costs as core decision drivers. Scaling AI at the enterprise level requires data management systems to process massive amounts of data accurately.

InsideAI News on the Move: Join Us at the Premier AI Industry Events!

At InsideAI News, we believe that the best way to stay at the cutting edge of artificial intelligence is by engaging directly with the innovators, thinkers, and leaders driving the industry forward. That’s why we’re thrilled to announce our in-person attendance at some of the most prestigious AI industry conferences this year

New RAND Research – Why do AI Projects Fail?

By some estimates, 80% of AI projects fail – more than double the rate of non-AI IT projects – but why? A group of RAND researchers investigated this issue and found five key problems leading to failure.

Major AI Act Will Heavily Impact The Unprepared & Indecisive

Last week, the EU’s AI Act finally went into effect following final approval from EU member states, lawmakers, and the European Commission. The AI Act aims to govern how companies develop, use, and apply AI. This will be done via a risk-based approach to regulation. Each AI application will be monitored and categorized based on the “risk it poses to human society.”

How AI Is Lending a Helping Hand in the Data Security Industry

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, highlights how AI is turning into the trusty sidekick that every cybersecurity hero needs. Let’s dive into how AI is shaking things up and helping keep our digital lives safe and sound.

Regulators Must Keep Pace with Advancement of AI for Fresh and Innovative Healthcare Benefits

In this contributed article, Elaine Gemmell, Head of Regulatory Affairs at InnoScot Health, discusses regulators needing to keep pace with advancement of artificial intelligence for fresh and innovative healthcare benefits.

Revolutionizing Manufacturing: The AI Impact

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is revolutionizing the manufacturing industry. This revolution promises to enhance efficiency, reduce costs, and improve overall product quality. We explore the multifaceted impact of AI on manufacturing and how it is reshaping the industry’s landscape.