Palantir leads the latest Cloud Wars rankings as Bob Evans previews Q2 earnings and explains why cloud and AI remain the world’s fastest-growing technology market.
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A new generation of AI-powered enterprise applications combines reasoning, workflow automation, and transactional execution.
Google Cloud’s $750 million investment in partner training and certification reflects its belief that customers benefit most when trusted partners lead AI transformation initiatives.
As AI transforms cybersecurity, Oracle is helping customers protect data through faster patching, stronger resilience, and database-first security.
Google Cloud is separating itself from Microsoft and AWS by relying entirely on partners to deliver enterprise AI deployments and agentic transformation.
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, OpenAI, and Anthropic are investing heavily in deployment capabilities, ecosystems, and forward-deployed engineers to help customers achieve measurable business outcomes and accelerate enterprise AI adoption beyond model selection.
IBM and Google Cloud have launched a new Google Cloud Practice designed to help organizations accelerate AI deployments by combining IBM Consulting expertise with Google Cloud’s Gemini Enterprise Agent Platform, cybersecurity capabilities, and advanced data technologies.
Google Cloud and Palantir are expanding their partnership to help businesses combine AI, data, and analytics for faster decision-making and stronger industry-specific outcomes.
Open Knowledge Format, or OKF, aims to become the MCP of representing knowledge and context so it can be consumed easily by AI agents without a translation layer.
Oracle and Alphabet are pioneering new approaches to finance massive AI infrastructure expansion, using debt and equity markets to meet unprecedented customer demand for cloud and AI services.
Oracle and Google Cloud are challenging conventional wisdom by using outside funding to support massive AI infrastructure investments driven by unprecedented customer demand.
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.
Anthropic’s reported $200 billion Google Cloud commitment highlights the staggering scale of AI infrastructure demand and the increasingly collaborative relationships between traditional hyperscale competitors.
Enterprise AI has shifted from experimentation to urgent execution, forcing cloud providers to deliver measurable business outcomes faster than ever.
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.