AI is getting most of the attention in enterprise technology. Governance, ownership, and data quality do most of the heavy lifting behind the scenes. And yet, as organizations move from AI experiments to production deployments, trusted context is becoming a key factor in determining whether agents create business value — or operational risk.
That shift is reshaping how Salesforce, Microsoft, Snowflake, Databricks, SAP, Oracle, and others are positioning their data, governance, metadata, and integration services. The conversation is no longer just about models. It’s about whether AI systems can operate against trusted, governed, and business-relevant information.
Trusted context has become the new currency, and Salesforce has made a strategic commitment to it.
Agentic AI is exposing the problems master data management was designed to solve
Master data management (MDM) spent much of the last decade as an important but often overlooked infrastructure. AI is changing that. Agentic systems
Data products help standardize how raw data sets, data warehouse views, and data lake logical views are combined and used to deliver analytics and AI capabilities. By developing data products, teams can streamline much of the upfront data pipelines, governance, and management needed to deliver trusted data assets that people, tools, and AI can then use for different purposes.
The way you cook a meal can serve as a helpful analogy. You can choose to purchase only raw ingredients like tomatoes, wheat flour, eggs, and fresh herbs to make a favorite pasta dish. The approach works well when you have the time and skills to cook from scratch or want to prepare a nice meal for a small family. Otherwise, you may want to buy canned tomatoes, your favorite box of pasta, and a spice mix to cook the same meal, especially if you are time-constrained, are cooking for many people, or want a consistent finished product.
Like the not-from-scratch pasta meal, data products provide a similar level of ti
Salesforce's European AI expansion could redefine enterprise tech, raising critical issues around data ownership and transparency in AI systems.
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The number of tech layoffs continues to tick upwards as AI investments increase, with Microsoft alone cutting around 4,800 employees, or roughly 2.1% of its workforce, this week.
The latest cutbacks are mostly in the company’s commercial sales and Xbox divisions. They follow two others in 2025 that impacted around 15,000 workers, or roughly 4% of the company’s workforce. Prior to the latest cuts, Microsoft had 220,000-plus employees.
The headcount reduction also comes just days after the announcement of Microsoft Frontier Company, an initiative that will provide embedded support for customers deploying AI projects, similar to traditional offerings from systems integrators (SIs).
Taken together, these moves seem to indicate that Microsoft is betting on its engineering expertise, rather than traditional account management, as the path to AI success.
“Microsoft had already reorganized its commercial business around AI,” said Thomas Randall, a research director at Info-Tech Research Group.
The collaboration signals a major shift in AI infrastructure, likely accelerating enterprise AI adoption and reshaping tech sector investments.
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The attack highlights vulnerabilities in DAO governance, urging enhanced security measures to protect community treasuries and investor interests.
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Microsoft's Xbox job cuts and studio sell-offs highlight ongoing industry challenges, potentially reshaping competitive dynamics and investment strategies.
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Thousands of gaming jobs will be shed over the coming fiscal year as Microsoft continues to invest heavily in AI
Microsoft said Monday it was eliminating about 4,800 jobs – roughly 2% of its global workforce – in a cost-cutting move that will deliver a sweeping restructuring of its struggling Xbox gaming division.
The cuts include the deepest overhaul in Xbox’s history, with approximately 3,200 gaming jobs to be shed over the coming fiscal year, four game studios being spun off or sold, and a fifth entering a review process that could lead to closure, the company said.
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Microsoft's strategic shift towards AI over gaming highlights a tech industry trend prioritizing machine learning investments over traditional gaming.
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