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Artificial Intelligence News for the Week of May 23; Updates from Accenture, Dell, NVIDIA & More

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of May 23, 2025.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Artificial Intelligence News for the Week of May 23, 2025

Accenture Collabs with Dell and NVIDIA on Enterprise AI Adoption

This collaboration extends the reach of the Accenture AI Refinery platform, bringing agentic AI capabilities with a one-click deployment to Dell’s high-performance, NVIDIA-accelerated infrastructure, helping companies realize value more quickly and reduce total cost of ownership.

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Cloudera Unveils New AI Data Visualization

The offering is an AI tool designed to democratize insights across the data lifecycle, enabling data engineers, business analysts, and data scientists to seamlessly communicate, collaborate, and share insights, without compromising data security or governance – all through the common language of visualization.

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Databricks Announces Claude Opus 4 and Sonnet 4 On-Platform

With full integration into the Databricks Data Intelligence Platform, enterprise teams can now securely build, evaluate, and govern Claude-powered AI agents using their own data — with centralized governance and observability.  This advances our mission to enable enterprises to build intelligent agents that can reason over their data.

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Dell Updates AI Factory Platform

As enterprises make AI central to their strategy and progress from experimentation to implementation, their demand for accessible AI skills and technologies grows exponentially. Dell and NVIDIA continue the rapid pace of innovation with updates to the Dell AI Factory with NVIDIA, including robust AI infrastructure, solutions and services that streamline the path to full-scale implementation.

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Dynatrace Partners with NVIDIA on Observability for AI

This enables enterprises using NVIDIA’s validated design for NVIDIA RTX PRO servers and other NVIDIA Blackwell infrastructure to deploy their own on-premises AI factory with real-time observability and AI-driven insights delivered by the Dynatrace platform.

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Elastic Announces an Integration with NVIDIA Enterprise AI Factory

Elastic’s investment to accelerate vector search on GPUs builds upon previous longstanding efforts to optimize its vector database performance through hardware-accelerated CPU SIMD instructions, new vector data compression innovations like Better Binary Quantization and making Filtered HNSW faster.

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HPE Extends Integration on NVIDIA AI Computing

These updates deepen integrations with NVIDIA AI Enterprise – expanding support for HPE Private Cloud AI with accelerated compute, launching HPE Alletra Storage MP X10000 software development kit (SDK) for NVIDIA AI Data Platform. HPE is also releasing compute and software offerings with NVIDIA RTX PRO 6000 Blackwell Server Edition GPU and NVIDIA Enterprise AI Factory validated design.

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Intel Announces New GPUs

This week’s product launches coincide with the 40th anniversary of Intel in Taiwan – marking four decades of collaboration, innovation and shared success around the x86 architecture with one of the world’s most dynamic technology ecosystems. As high-performance AI applications increase the need for more compute, the x86 architecture continues to build on its key role accelerating customer and user innovation.

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LMArena Secures $100 Million in Funding for AI Benchmarking

LMArena operates as a neutral benchmarking platform that enables users to compare large language models through head-to-head matchups. It works by allowing users to submit prompts and evaluate anonymous responses from different models, selecting the best reply. The result is that the service offers a crowdsourced comparison method and unbiased rankings that reflect actual, real-world user preferences.

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Nom Nom Data Nabs Patent for Self-Healing Data & AI

This groundbreaking self-healing Data innovation is a game changer for AI companies like xAI, OpenAI and Anthropic, Cloud Service providers like Amazon’s AWS, Microsoft’s Azure, Google’s Google Cloud, Oracle’s Oracle Cloud and Snowflake, and Data Management and Infrastructure companies like DataBricks, Scale AI, Dell and Nvidia.

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Red Hat Unveils New AI Inference Server

Whether deployed standalone or as an integrated component of Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI, this breakthrough platform empowers organizations to more confidently deploy and scale gen AI in production.

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SEMI and Purdue University Set to Launch New AI & Analytics Courses

Available through the SEMI University learning platform, the courses were developed to equip semiconductor professionals to integrate AI and data-driven approaches in today’s competitive industry landscape.

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VAST Data Unveils New VAST AI Operating System

The VAST AI Operating System is the product of nearly ten years of engineering toward a single purpose: to create an intelligent platform architecture that can harness this new generation of AI supercomputing machinery and unlock the potential of AI at scale. Developed from a clean sheet of paper, the platform is built on VAST’s groundbreaking Disaggregated Shared-Everything (DASE) architecture.

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Virtana Extends AI Observability Capabilities

AIFO delivers real-time telemetry across GPUs, networks, and storage systems, enabling engineering and operations teams to move beyond reactive incident response and adopt a proactive optimization approach. As organizations shift from AI pilot projects to production environments, AIFO offers the insight required to optimize performance, contain costs, and ensure service reliability.

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Virtualitics Launches New GenAI Toolkit for its AI Platform

The GenAI Toolkit is a foundational addition to the Virtualitics AI Platform, providing secure, flexible, and containerized large language models (LLMs), along with tailored capabilities including retrieval-augmented generation (RAG), developer-ready interfaces and Readiness Sigma (RSIG), a new domain-focused summarization capability.

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Zencoder Unveils New Zen Agents for CI/CD

This new capability enables AI agents to operate independently within CI/CD pipelines, autonomously responding to events, implementing changes, and submitting code through standard pull requests. The launch significantly expands Zencoder’s suite of developer tools beyond IDE-based assistance to infrastructure-level automation that works continuously, even when developers are offline.

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Expert Insights

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

NEW by SR Expert at Insight Jam Paula Caligiuri, PhD.: The Curiosity Deficit: Why Tech Teams Are Getting Smarter But Less Innovative

According to our April 2025 report, a staggering 93 percent of tech professionals agree that curiosity is “very” or “extremely” important. But nearly half (47 percent) say they struggle to find the time to explore new tools, processes, or ideas.  In the report, tech professionals also cite difficulty identifying which ideas are worth pursuing, fear of wasting time on dead ends, and limited opportunities to experiment in their roles.

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Solutions Review Set to Host Impetus, Forrester Research & Amazon QuickSight for Exclusive Show on Unlocking the Power of GenBI on May 29

GenAI-based BI (commonly referred as GenBI) is rapidly emerging as the new standard to deliver actionable insights that can power superior decision-making while increasing effectiveness, responsiveness, and cost savings for organizations across industries. However, organizations must navigate a dynamic set of technologies and capabilities to ensure their GenBI solutions are quickly providing trusted business insights, operational excellence, while delivering bottom-line cost savings in parallel.

Register free on LinkedIn

NEW by SR Expert at Insight Jam Robert Eve: Why Can’t We Be Friends? AI Agent Collaboration in Data Engineering

Will we become the horse at the advent of the horseless carriage? Or the bookkeeper with the advent of financial software? Steve Jobs once said, “Great things in business are never done by one person. They’re done by a team of people.” Today, perhaps Steve would amend his statement to say, “Great things in business are never done by one person. They’re done by a team of people and agents.”

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NEW by SR Expert at Insight Jam Monica Kay Royal: AI Needs to be Supervised

In Kant’s moral theory, autonomy is a quality of rational agents that act and make choices based on their own reason. Merriam-Webster defines autonomy as the quality or state of being self-governing, self-directing freedom, and especially moral independence. When it comes to artificial intelligence, the definition gets a little foggy.

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NEW by SR Expert at Insight Jam Samir Sharma: Strategy Meets Autonomy: How to Align People, Data & Agents

It is true, that we have used ML which as you know is a subset of AI, but the most widely known and probably the most successful, perhaps. Many believe that AI (or ML in this instance) has shifted from making recommendations to making decisions. The big hype is that Agents are no longer support tools; they’re actors in your business.

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For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.

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