Artificial Intelligence News for the Week of December 20; Updates from Anthropic, Cognizant, NVIDIA – Solutions Review

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of December 20, 2024.
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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Applying data quality curation is the final step on the journey to data trust. At this point, users fix all the data quality issues with Ataccama’s market leading data quality and master data management tools to maximise the accuracy of the data and enable valuable insights, accurate reporting and informed decision-making.
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ISO/IEC 42001 is the world’s first international standard for artificial intelligence management systems (AIMS). It provides organizations with a comprehensive framework to manage AI risks and opportunities throughout the AI system lifecycle, while ensuring responsible development and deployment of AI solutions.
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Verifiable Compute introduces a patent-pending hardware-based cryptographic AI notary and certificate system to isolate sensitive AI operations and notarize them with a tamperproof record of every data object and code computed in AI training and inference. It also provides real-time compliance checks and enforcement of AI business policies and new sovereign AI regulations such as the EU AI Act.
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These new capabilities significantly lower the barrier to AI implementation and scale, accelerating time to value for marketing teams, and advancing Jasper’s mission to elevate marketers with the power of AI.
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This overwhelming response underscores the massive opportunity in frontier AI development and the unique value proposition of combining Menlo’s company-building expertise with Anthropic’s cutting-edge AI technology.
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With most organizations managing their data in cloud environments, offering access to data analytics-optimized instances within this infrastructure is essential—especially in the era of AI and machine learning (AI/ML), where efficiently processing vast amounts of data is critical.
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Production-grade RAG pipelines for enterprise AI applications combine advanced data retrieval and generative AI capabilities to create highly accurate, context-aware responses. The pipelines integrate structured and unstructured data sources to allow enterprises to process large datasets efficiently and deliver actionable insights in real-world AI systems, such as co-pilots and intelligent workflows.
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Multilingual information retrieval — the ability to search, process and retrieve knowledge across languages — plays a key role in enabling AI to deliver more accurate and globally relevant outputs. Enterprises can expand their generative AI efforts into accurate, multilingual systems using NVIDIA NeMo Retriever embedding and reranking NVIDIA NIM microservices, which are now available on the NVIDIA API catalog.
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The need to secure AI applications and the systems that power them has never been greater. The use of AI has expanded rapidly in recent years, but it has also introduced unique and growing security concerns that are difficult to address with existing security tools and processes. Protect AI’s industry-leading AI security platform includes a suite of products that offer comprehensive security capabilities for AI build and deployment processes.
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The new Enterprise Licensing Agreement (ELA) with SAS will consolidate over 100 annual contracts into one and ease the burden on public servants across federal agencies with a unified data strategy. The Government of Canada’s Digital Ambition is an enterprise-wide plan for all things digital and helps prioritize digital initiatives and the delivery of government services.
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To make it simpler for enterprises to get started with AI agents, Tray.ai also unveiled new curated Tray Agent Accelerators that provide a user-friendly experience for rapid AI agent implementation, offering templates for knowledge agents, IT ticketing agents and customer support ticketing agents. Expanding Tray.ai’s low-code AI agent development capabilities, the new advancements give enterprises the fastest, most flexible and safest path for scalable AI agent delivery.
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Raster Inference makes satellite or drone imagery analytically accessible for data developers who use SQL or Python. With flexible pay-as-you-go pricing and support for Wherobots hosted or custom computer vision models, solutions can be built from aerial imagery in hours versus weeks or months, at a fraction of the cost of starting from scratch.
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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.
The 6th Annual Insight Jam LIVE! is the original celebration of enterprise tech and a 4-day virtual event dedicated to equipping builders, implementers, and experts with actionable strategies for maximizing AI’s impact across the enterprise.
Centered on the theme Strategies for AI Impact, the event features more than 25 Expert Keynotes and Roundtable panels with participation from over 100 executives and thought leaders.
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As we enter 2025, artificial intelligence continues to revolutionize industries, driving innovation and reshaping how businesses operate. From foundational advancements in generative AI to cutting-edge applications in automation, decision-making, and customer experience, the AI landscape is evolving at an unprecedented pace.
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With the next Expert Roundtable event, the team at Solutions Review has partnered with Neudesic, Microsoft, Databricks, and Eckerson Group to hear from experts at Databricks, Microsoft, and Neudesic as they share practical learnings and best practices to ensure successful AI outcomes. 
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They discuss the urgent need for frameworks to manage the coming proliferation of AI agents, the technical challenges of building agent architectures, and the importance of trust and governance in enterprise AI implementations. Tune in for insight on how AI agents will fundamentally transform business operations and why organizations need to start preparing for this shift now.
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At Ferraro Consulting we have come up with three technology innovations that separate the leaders from all others in their use of AI for business intelligence: a business semantic layer, an embedded AI engine, and advanced human in the loop feedback.
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For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.
This article was written by Tim King on December 20, 2024
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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This article was autogenerated from a news feed from CDO TIMES selected high quality news and research sources. There was no editorial review conducted beyond that by CDO TIMES staff. Need help with any of the topics in our articles? Schedule your free CDO TIMES Tech Navigator call today to stay ahead of the curve and gain insider advantages to propel your business!