AWS and Microsoft are taking radically different branding approaches to AI deployment, raising questions about which strategy enterprise customers will embrace.
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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.
Solgari’s Ed Grant explains why customer engagement data is the foundation of successful AI strategies and how organizations are turning conversations into business outcomes.
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.
The world’s leading AI companies are investing nearly $10 billion to ensure AI deployments generate measurable business outcomes rather than simply impressive technology.
Microsoft’s new Frontier Company represents the company’s biggest step yet toward making its frontier firm vision a reality for enterprise customers.
Palantir challenges traditional ERP and standardization, suggesting an alternate approach in the current economy and age of AI.
Microsoft is shifting Copilot Cowork to usage-based pricing while exploring lower-cost AI models, signaling a strategy focused on performance, economics, and customer choice.
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.
Enterprise AI growth increasingly depends on implementation expertise rather than model capabilities alone.
The AI market is entering a new chapter where execution and business outcomes matter more than proving technological capabilities.
As AI token demand surges, CEOs must take ownership of allocation strategy to ensure scarce AI resources drive business outcomes, not internal politics.
OpenAI’s new token management tool highlights a deeper challenge: CEOs, not AI administrators, must decide how scarce AI resources are allocated across the business.
The race to transform enterprises through AI is creating unprecedented demands for deployment expertise, customer success, and organizational change management.
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.
A cautionary look at AI adoption, highlighting how poorly chosen use cases and immature implementations can create more operational disruption than business value.
KPMG and Microsoft are expanding their partnership to help enterprises deploy agentic AI at scale through standardized governance, deployment, and management frameworks.
As AI spending surges, AWS argues that companies cannot ignore technical debt, which continues consuming substantial IT resources that could otherwise fuel innovation.
Microsoft is testing new AI-powered workplace devices under Project Solara, aiming to create agent-first experiences that move AI interactions beyond traditional PCs and applications.