Microsoft’s investment in Databricks reflects a broader strategy to strengthen every layer of the enterprise AI stack—from infrastructure and data platforms to intelligent business applications.
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An analysis of how Oracle is helping enterprises prepare their data infrastructure for large-scale agentic AI deployments.
The next wave of enterprise AI will depend less on models and more on governed, connected data and operational context, according to Salesforce and Databricks.
Customers are reporting high confidence levels in AI agents managing data workflows, but the numbers drop when tasks apply to AI workflows such as coding functions.
Working with DynaTech Systems, Solmax standardized global business processes and created a single source of truth, helping eliminate data silos and improve financial and operational decision-making across multiple regions.
Google Cloud and Palantir have formed a strategic partnership that combines enterprise data, AI, and industry expertise to help organizations accelerate digital transformation and AI adoption.
Microsoft updates Finance Agent to provide a command center-type interface, as well as support for natural language prompts to gain and act on financial insights.
How Oracle is embedding agentic AI directly into its database platform to help enterprises accelerate innovation, strengthen security, and reduce architectural complexity.
Skills codify workflow details that are too often managed as ‘institutional knowledge,’ making those instructions accessible and reusable for agentic AI automation.
CEO Christian Klein has been aggressively forging a new SAP via acquisitions in the data field, a shift to consumption pricing, and AI-centered partnerships.
SAP’s AI plan includes strategic partnerships and acquisitions as well as major shifts toward consumption pricing and customer alignment.
New feature rollout includes support for tapping — or building — reusable skills that Cowork can invoke to complete a task or workflow on a user’s behalf.
Oracle’s latest AI Database updates deliver faster failover, improved uptime, and zero data loss capabilities. With new security tools and quantum-resistant encryption, enterprises can run mission-critical AI workloads more securely and efficiently.
Addition to Microsoft 365 Copilot helps users sort through large amounts of data and conversations to determine required near-term actions and build comprehensive plans.
Agentic AI is shifting enterprise systems from answering questions to taking secure, autonomous action at scale.
Enterprises must redesign data platforms so autonomous AI agents can reason, act, and securely drive business outcomes across the organization.
Latest MCP product from Microsoft works with cloud or on-premises SQL databases for efficient, secure connections to corporate resources without requiring language or framework expertise.
Round of enhancements also includes simplified prompting during agent-building processes, new content moderation controls to govern sensitive material.
Microsoft’s $10 billion Japan investment underscores a strategy combining AI infrastructure, workforce development, and data sovereignty to drive global growth while meeting increasingly strict regional compliance requirements.
With new agentic AI capabilities, Oracle eliminates the need for complex data pipelines, enabling faster development and deployment of AI applications while maintaining enterprise-grade security and scalability.