Snowflake Pushes Into Agentic AI with Project SnowWork

Snowflake is pushing further into the agentic AI trend with the launch of Project SnowWork, a new platform meant to help enterprises move beyond data analysis and into execution, with much of the work handled autonomously. With SnowWork, the aim is to go beyond dashboards and generated answers to automate the next steps, allowing business…

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AI-Native Assistants Have Arrived—But Earning Trust Is the True Innovation

Artificial intelligence has dazzled us with conversation. The real revolution is underway, one where AI doesn’t just talk, but acts. Across large organizations, a new class of AI-native assistants is quietly reshaping workflows. These systems go beyond chat; they take action. They process claims, open support tickets, reroute supply chains, and even draft contracts, all…

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Beyond the Hype: 5 Surprising Realities of Enterprise AI

The AI fatigue that defined the late 2023 and 2024 business cycles was, in hindsight, a necessary correction. During that period, many organizations found themselves trapped in what industry observers called “pilot purgatory.” Millions were poured into experimental generative AI pilots, comprised mostly of chatbots designed to summarize meetings or draft internal emails. While these…

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MariaDB to Acquire GridGain to Tackle the AI Latency Gap

MariaDB is set to acquire GridGain Systems with the aim to deliver sub-millisecond data performance for agentic AI workloads. GridGain is the company behind the in-memory computing platform and developer of the open source project Apache Ignite. The deal comes at a time when technology vendors are rethinking the foundations of the modern data stack…

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Context Engineering Will Decide Enterprise AI Success, Says Cognizant CIO Neal Ramasamy

Artificial intelligence dominated discussions at Davos this year, but inside enterprises the conversation has shifted from excitement to execution. Organizations are moving quickly to deploy agents and automation. However, many are discovering that technology alone does not guarantee operational value.  Against that backdrop, Neal Ramasamy, Chief Information Officer at Cognizant, shared his perspective with BigDATAwire…

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Databricks Doubles Down on AI With Lakebase, Genie, and a Surging Valuation

The hidden costs of traditional databases often force developers to create custom infrastructure for managing workflows. This is a critical resource conflict. Instead of focusing on building new products or advancing AI initiatives, the developers spend more time solving operational problems. As enterprises move deeper into AI, this issue is pushing data teams outside their…

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Are Your AI Agents Actually Delivering ROI?

Agentic AI has dominated industry conversations since 2025. Adoption across enterprises is on the rise, and investment plans remain aggressive. Use cases are expanding rapidly, from simple employee assistants to advanced agentic workflows for insurance renewals or support ticket triage, to name just a few. The shift has been undeniably fast. The momentum notwithstanding, a…

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The Connectivity Paradox Holding Back Enterprise Agentic AI

AI agents have become the primary driver of enterprise productivity. According to a recent report by Salesforce, organizations currently use an average of 12 agents, with that number expected to climb 67% within the next two years.  Currently, 83% of organizations report that most or all teams and functions have adopted AI agents. However, business…

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Personalized Flights to Intelligent Skies: How Agentic AI will Reshape the Future of Air Travel

The aviation industry is already implementing AI solutions, but it is barely scratching the surface of the value AI can bring, according to Ali Pourshahid, Chief Engineering Officer and Alam Khan, Principal Architect, Solace. The industry is weighed down by diverse and siloed processes, preventing airlines from harnessing the full power of AI, in particular…

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New Study Shows How to Close the AI Readiness Gap With Trusted Data and Talent

A recent report from Precisely highlights an interesting paradox: 87% of organizations believe they are ready for AI, yet at the same time, 40% of the leaders reported that data, skills, and infrastructure remain the biggest obstacles. Precisely’s fourth annual State of Data Integrity and AI Readiness report reveals a growing disconnect in how organizations…

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