Support for Compliance API gives Purview visibility into conversations and events, bringing both data types in Claude under broader enterprise controls.

Agent 365 introduces a unified control plane for managing enterprise AI agents, giving IT leaders centralized visibility, governance, security guardrails, and observability across the agentic workplace.

AI is dramatically reducing implementation effort, forcing enterprise services firms to rethink staffing, pricing, and customer engagement models.

Copilot Studio’s new visibility and governance capabilities help organizations scale AI automation while preserving security and operational oversight.

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.

Giuseppe Ianni and Nandita Puri discuss how AI is helping connect fragmented biomedical research, reducing years of literature review into months of analysis and creating new opportunities for rare disease treatments.

Google Cloud’s latest security launch combines AI-driven defense with the company’s expanding portfolio of cybersecurity assets.

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.

Features for controlling the actions of agents — ensuring they don’t misbehave — bring the enterprise-level controls required by IT/security pros and business leaders alike.

Dona Sarkar explains why coding agents succeed first in AI adoption thanks to structured data, clear validation, and measurable outcomes.

Agentforce helped Salesforce unlock $42 million in pipeline from previously untouched leads, demonstrating the practical impact of agentic AI.

Thales explains how organizations can use AI-driven competitive intelligence to identify market weaknesses, exploit operational gaps, and respond faster than competitors.

Microsoft and EY’s expanded partnership combines AI-native engineering with business consulting to help organizations scale transformative AI initiatives.

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.

Amazon Bedrock AgentCore Payments marks a major step toward economically active AI agents capable of discovering, evaluating, and paying for digital resources without human intervention.

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.

Returning CEO Aneel Bhusri says technology transitions require companies to make emerging technologies their absolute top priority.

James Oleinik explains how Work IQ powers Copilot with real-time enterprise context, turning AI into an intelligent execution layer for work.

The biggest AI opportunity in enterprise software may be reducing implementation friction, not simply adding generative features.

Salesforce is targeting one of enterprise AI’s biggest barriers: outdated manual workflows that prevent agentic AI from operating efficiently at scale.

Case involving Nippon Life Insurance and OpenAI highlights ChatGPT’s status as a non-person AI tool, not a lawyer, amid alleged legal misuse.

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?

Despite strong optimism around AI adoption, Workday found that most enterprise users still act as intermediaries between AI tools, reducing productivity and undermining the promise of automation.

Sachin Gandhi explains how AI agents are transforming supply chains by autonomously planning and executing logistics operations.

Microsoft says the future of AI success depends less on individual readiness and more on organizational culture, management support, and redesigned workflows.

The enterprise AI battleground is shifting from model access to operational context, governance, and differentiated execution infrastructure.