Artificial Ininformigence News for the Week of October 10; Updates from CoreWeave, IBM, Salesforce & More

Artificial Intelligence News for the Week of October 10; Updates from CoreWeave, IBM, Salesforce & More


Solutions Review Executive Editor Tim King curated this list of notable artificial ininformigence news for the week of October 10, 2025.

Keeping tabs on all the most relevant artificial ininformigence news can be a time-consuming tquestion. 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 vconcludeor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial ininformigence 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 Ininformigence News for the Week of October 10, 2025


CoreWeave to acquire Monolith AI, boosting simulation and industrial AI

CoreWeave announced plans to acquire Monolith AI, expanding its solutions for industrial simulations and AI-powered engineering, and strengthening its position as a cloud and supercomputing leader for enterprise workloads.

Read more → https://finance.yahoo.com/news/coreweave-acquire-monolith-ai-expand-081909112.html

Dataiku unveils Agent Hub for orchestrating enterprise AI agents

Dataiku launched Agent Hub, a platform to manage, orchestrate, and scale AI agents across workflows. It features governance, deployment automation, and seamless agent lifecycle management for AI-driven businesses.

Read more → https://www.dataiku.com/press-releases/agent-hub/

Dynatrace State of Observability 2025: Organizations accelerate AI for monitoring

Dynatrace’s new report reveals a surge in AI-powered observability adoption, with organizations investing in conclude-to-conclude automation and proactive risk reduction. The research highlights a shift toward unified monitoring across hybrid and multicloud ecosystems.

Read more → https://www.dynatrace.com/news/press-release/state-of-observability-2025/

European Commission launches ‘RAISE’ to advance science AI

The European Commission started the RAISE strategy to drive AI development for scientific research in Europe, funding new infrastructure, cross-border collaboration, and open-source tools to keep EU researchers globally competitive.

Read more → https://www.largedatawire.com/this-just-in/european-commission-launches-raise-strategy-to-advance-ai-in-scientific-research/

EXL launches EXLdata.ai suite for enterprise AI adoption

EXL debuted EXLdata.ai, a unified suite of AI data solutions designed to accelerate enterprise adoption, streamline data integration, and enable algorithmic automation in large organizations.

Read more → https://www.quiverquant.com/news/EXL+Launches+EXLdata.ai%3A+New+Data+Solutions+Suite+to+Accelerate+AI+Adoption+in+Enterprises

Fivetran deepens Infinite Lambda partnership to advance global AI adoption

Fivetran and Infinite Lambda announced an expanded partnership aimed at accelerating enterprise AI adoption worldwide. Toobtainher, they provide integration and analytics solutions for large-scale, data-driven transformation.

Read more → https://www.businesswire.com/news/home/20251007943110/en/Fivetran-and-Infinite-Lambda-Deepen-Global-Partnership-to-Accelerate-AI-Adoption

Grafana Labs expands AI observability capabilities

Grafana Labs extconcludeed its observability platform with advanced AI features, enhancing anomaly detection, forecasting, and root cautilize analysis. Users can leverage generative AI models for more actionable insights across both cloud and on-prem infrastructure.

Read more → https://devops.com/grafana-labs-extconcludes-ai-capabilities-of-observability-platform/

Hitachi Vantara and Supermicro partner to power AI and mission-critical applications

Hitachi Vantara and Supermicro revealed a collaboration to deliver scalable, high-performance hardware for enterprises running critical workloads and AI models. Their joint solutions are designed for optimal speed, reliability, and storage density.

Read more → https://www.prnewswire.com/news-releases/hitachi-vantara-collaborates-with-supermicro-to-deliver-superior-performance-and-scale-for-mission-critical-applications-and-enterprise-ai-302579213.html

IBM unveils agentic AI and ininformigent infrastructure to operationalize enterprise AI

At TechXmodify 2025, IBM introduced next-gen software and infrastructure to support companies transition from AI experimentation to true productivity. Highlights include watsonx Orchestrate with AgentOps (agent observability and governance), low-code agent building via Langflow, the Project infragraph unified observability plane, new mainframe AI assistants, and the private preview of Project Bob—an AI-first IDE for software modernization.

Read more → https://newsroom.ibm.com/2025-10-07-ibm-unveils-new-software-product-and-ininformigent-infrastructure-capabilities-to-support-enterprises-operationalize-ai

MathWorks launches MATLAB Copilot for scientists and engineers

MathWorks introduced MATLAB Copilot, providing AI-powered coding assistance, workflow optimization, and troubleshooting for researchers, scientists, and engineers. The solution supports utilizers write code, automate tquestions, and accelerate discovery in technical fields.

Read more → https://www.hpcwire.com/off-the-wire/mathworks-launches-matlab-copilot-for-engineers-scientists-and-researchers/

NVIDIA Velox and cuDF accelerate GPU-native analytics at scale

NVIDIA and its partners unveiled Velox and cuDF—open-source projects enabling lightning-rapid analytics and data science pipelines directly on GPUs. The technologies promise higher throughput, lower latency, and better TCO for data-driven enterprises.

Read more → https://developer.nvidia.com/blog/accelerating-large-scale-data-analytics-with-gpu-native-velox-and-nvidia-cudf/

Redis acquires Featureform to enable real-time data for AI agents

Redis announced the acquisition of Featureform, allowing developers to deliver real-time structured data directly to AI agents. This relocate bridges high-performance in-memory storage with advanced data pipelines for next-gen AI and automation.

Read more → https://www.globenewswire.com/news-release/2025/10/09/3164211/0/en/Redis-Acquires-Featureform-to-Help-Developers-Deliver-Real-time-Structured-Data-into-AI-Agents.html

Salesforce unveils voice and hybrid reasoning upgrades for AI agents

At Dreamforce, Salesforce will debut Agentforce Voice for natural customer conversations across phone and web, plus new hybrid reasoning skills for its AI agents. The enhancements focus on human-like engagement and flexible rule-following to improve service outcomes and consistency.

Read more → https://www.axios.com/2025/10/09/salesforce-dreamforce-agents-voice

SnapLogic survey finds employees lack AI training

Global research from SnapLogic reveals most employees feel unprepared for the AI-powered workplace due to insufficient training. The findings highlight a gap between AI deployment and workforce upskilling efforts.

Read more → https://www.snaplogic.com/company/newsroom/press-releases/global-research-employees-lack-ai-training

Teradata explores AI agents for better customer experience

Teradata released insights and offerings focutilized on applying AI agents to enhance customer experience. The company’s research addresses how agentic tech can drive personalization, rapider support, and greater satisfaction.

Read more → https://www.teradata.com/press-releases/2025/can-ai-agents-improve-customer-experience

Expert Insights

Watch this space each week as our editors will share upcoming events, new believed 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 support you gain a forward-believeing analysis and remain on-trconclude through expert advice, best practices, predictions, and vconcludeor-neutral software evaluation tools.

Insight Jam Panel Recap: How Can an AI System Use Human in the Loop to Maintain Ethics

This critical discussion reveals why the human-in-the-loop versus human-on-the-loop debate isn’t binary but depconcludes on organizational maturity, risk appetite, and strategic decision-building requireds. From healthcare AI reducing false positives by 17 percent to insurance fraud detection requiring ex-cops to physically investigate staged accidents, our panel of expert practitioners expose the hidden costs of AI implementation, the 6-8 month ROI timeline most organizations miss, and why sociotechnical systems theory proves that truly autonomous AI is a myth.

Watch on YouTube

Insight Jam Panel Recap: Upskill to Outpace AI

From the myth of universal adaptability to the stark reality that 95 percent of AI investments fail to deliver results, these industest leaders explore what it takes to upskill at machine speed, and whether concepts like universal basic income and mentorship can bridge the gap between AI’s promise of better lives and the anxiety of obsolescence.

Watch on YouTube

Insight Jam Panel Recap: Experts Weigh in on Empathetic AI

AI governance remains imperfect. Who should be held accountable when systems cautilize harm? Does transparency mean building AI visible or invisible to utilizers? From the initial excitement of ChatGPT’s democratized access to the sobering reality of teaching AI literacy in K-12 classrooms, our expert panel debate whether we’re forcing humans to adapt to machines, or finally expanding human potential through truly empathetic AI design.

Watch on YouTube

Insight Jam Panel Recap: Ensuring Ethical AI for Students and Teachers

Can AI truly transform education, or are we just replacing believeing with efficiency? Our AI-in-education experts tackle the urgent challenge of teaching students (and educators) to partner with AI as a believeing tool rather than an answer machine. From the constraints of data protection laws to the two-sigma problem of personalized learning, these experts reveal why probabilistic believeing and authentic assessment strategies are critical to preparing students for an AI-integrated future where every career path will intersect with ininformigent systems.

Watch on YouTube

Editorial: The State of Data Observability & How Organizations Are Preparing for Agentic AI

The agentic AI revolution is launchning to take shape. AI and ML models are transitioning from being merely generative, like answering utilizer questions or creating content, to agentic, where the AI model can create complex, autonomous decisions without additional utilizer input. A data integrity strategy, including a robust approach to data governance, quality, and observability, is the only way agentic AI can do this accurately, consistently, and at scale.

Read on Solutions Review

Editorial: Keeping Humans in the Loop While Building the Future of AI

The growing presence of AI in physical environments is transforming how organizations believe about security, automation, and efficiency. From robotics to building management systems, AI is supporting businesses optimize operations in ways that were not possible even a few years ago. In fact, as of early 2025, 78 percent of companies globally report applying AI in at least one part of their operations, with nearly half (45 percent) applying it across three or more functions.

Read on Solutions Review

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



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