Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of January 10, 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.
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Today’s announcement builds on Accenture’s investments and leadership in driving generative AI reinvention for clients, having supported more than 2,000 projects for organizations across industries.
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The new funding, $6 billion in total, will mark a jump in valuation for Anthropic, a major competitor of OpenAI in the foundation model space. Anthropic was valued at around $18 billion in a fundraiser led by Menlo Ventures last year.
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Centific’s frontier AI data foundry transforms complex video data into actionable insights. From enabling real-time threat detection to streamlining content workflows, this solution delivers exceptional accuracy and scalability in addressing industry-specific challenges.
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By 2025, retail and consumer products companies surveyed say they plan to allocate an average of 3.32 percent of their revenue to AI—equivalent to $33.2 million annually for a $1 billion company. This investment is set to span functions such as customer service, supply chain operations, talent acquisition, and marketing innovation, highlighting AI’s expansion beyond traditional IT applications.
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The innovative architecture enables cloud hyperscalers to develop custom XPUs that achieve higher bandwidth density and deliver longer reach XPU-to-XPU connections within a single AI server – with optimal latency and power efficiency. The architecture is now available for Marvell customers’ next-generation custom XPU designs.
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Community members expressed enthusiasm, calling the innovations “impressive” and praising the blend of Monte Carlo Tree Search (MCTS) with step-by-step reasoning. One commenter highlighted the simplicity and utility of using Q-values for step scoring, while others speculated on future applications in geometric proofs and symbolic reasoning.
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Serverless egress control enables you to benefit from the agility and cost efficiency of Databricks serverless offerings while protecting against data exfiltration to unauthorized destinations. With this release, serverless egress control support Model Serving, Notebooks, Workflows, Delta Live Tables (DLT) pipelines, Lakehouse Monitoring, Databricks SQL and Databricks Apps.
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Project DIGITS features the new NVIDIA GB10 Grace Blackwell Superchip, offering a petaflop of AI computing performance for prototyping, fine-tuning and running large AI models. With Project DIGITS, users can develop and run inference on models using their own desktop system, then seamlessly deploy the models on accelerated cloud or data center infrastructure.
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The report analyzes platform usage to uncover which technology tools are gaining traction and which are losing relevance, empowering organizational leaders to stay informed and identify emerging trends that could influence their business decisions in the year ahead.
Read on for moreWatch 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.
AI capabilities are doubling every six months, and the Dougs get into the implications of AI-generated content and the evolving role of human oversight in AI systems. Should it be “human IN the loop” or “human ON the loop?” Listen in for insights into organizational leadership needs and the emergence of the Chief AI Officer (CAIO) role in today’s rapidly changing technological landscape.
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Why do business leaders need to understand AI fundamentals? How can they identify valuable AI implementation opportunities and manage risks while leveraging AI for business transformation? Donald explains why AI education programs need to go beyond vendor presentations and help executives make informed decisions about AI investments.
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Many organizations recognize the potential of data and AI to transform their business, but when it comes to implementation, they often stumble at the first hurdle: defining and prioritizing use cases. It’s not for lack of ambition or resources but rather a lack of clarity on how to connect data initiatives to real business value.
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For consideration in future artificial intelligence news roundups, send your announcements to the editor: [email protected].
This article was written by Tim King on January 10, 2025
Tim is Solutions Review’s Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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