Google Cloud has launched Google AI Threat Defense, an AI-powered cybersecurity platform designed to help organizations proactively identify, prioritize, and remediate threats while keeping pace with increasingly sophisticated AI-driven cyberattacks.
Salesforce delivered strong Q1 results with $11.1 billion in revenue, driven by accelerating demand for Agentforce, AI-powered Slack, and AI-enhanced applications across its portfolio.
Workday’s strong Q1 performance highlights CEO Aneel Bhusri’s push to transform the company into an AI-native enterprise focused on agentic AI innovation, lawful governance, and accelerated product development to compete with SAP, Oracle, and Microsoft.
AI and Microsoft expert Paul Swider details a personal health assistant he’s built called Tula that unifies all of a patient’s data and aims to level the healthcare playing field.
The biggest AI opportunity in enterprise software may be reducing implementation friction, not simply adding generative features.
James Oleinik explains how Agent 365 provides the visibility, governance, and security foundation needed to manage AI agents across the enterprise.
A recent court case pushed OpenAI to specifically define ChatGPT as “not a lawyer.” How does this impact the future of AI?
The enterprise AI battleground is shifting from model access to operational context, governance, and differentiated execution infrastructure.
How Oracle is embedding agentic AI directly into its database platform to help enterprises accelerate innovation, strengthen security, and reduce architectural complexity.
Christopher Lochhead explains how AI is accelerating category-level shifts that create entirely new kinds of jobs while rapidly reshaping the future of work.
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.
Google Cloud is accelerating enterprise AI adoption with specialized AI engineers and a $750 million ecosystem fund, signaling a more aggressive customer execution strategy.
SAP and Palantir are helping redefine enterprise technology, as Christian Klein and Alex Karp both argue that AI-driven execution has moved their companies beyond the traditional definition of software vendors.
Enterprise AI success depends not just on innovation speed, but on governance, interoperability, migration readiness, and organizational change.
SAP is accelerating its autonomous enterprise strategy with agents, Business Data Cloud, and industry-specific innovation in what could be its most ambitious transformation yet.
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.
AWS’s AI business has surged to a $20B run rate in just three years, vastly outpacing its early cloud growth. However, competitors like Google Cloud and Microsoft are growing faster, raising questions about AWS’s long-term dominance.
AWS’s AI business is scaling rapidly, yet rivals are outpacing it in both growth and future revenue pipelines.
Google Cloud, Oracle, Microsoft, and AWS now hold more than $2 trillion in combined backlog and RPO, revealing massive contracted demand for AI and cloud services that will convert into future revenue.
