Christopher Lochhead explains how AI is making knowledge and execution increasingly free, shifting competitive advantage to agent-driven systems.
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Autopilots increase the level of AI autonomy and automation. Build event also places major focus on agentic AI development — and controls — at the desktop.
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.
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.
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.
Thales explains how organizations can use AI-driven competitive intelligence to identify market weaknesses, exploit operational gaps, and respond faster than competitors.
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.
James Oleinik explains how Work IQ powers Copilot with real-time enterprise context, turning AI into an intelligent execution layer for work.
James Oleinik explains how Microsoft’s agentic system of work positions Copilot as the central interface while autonomous AI agents execute enterprise workflows at scale.
At Paragon Films, MCP enables AI agents to do everything from pinpointing invoice discrepancies to making employee knowledge ‘immortal.’
As initial release of ‘control plane’ becomes widely available, Microsoft is expanding agent registry, Shadow AI protections, and threat detection capabilities.
Deloitte partner says most organizations are still in the transition phase of tapping AI in their ERP environments, but the technology can improve data consistency and improve financial compliance.
Definity First founder Mauricio Duran explains why enterprises must start with business problems — not technology — to successfully move AI into production.
At the AI Agent & Copilot Summit, Truvio’s Jorgen Bach explains how unified platforms and AI agents are helping enterprises close the ERP value gap and operationalize AI adoption.
Dona Sarkar explains why AI should be viewed as a tool for empowerment rather than job replacement, urging professionals to become “AI power users” who learn how to harness AI within their own roles and industries.
Enterprise AI success is shifting from software consumption metrics to measurable business outcomes and shared accountability between providers and customers.
A major focus for sa.global is building industry-specific AI agents tailored to professional services sectors like construction and legal, aiming to reduce inefficiencies, automate workflows, and protect revenue streams.
Tad Remington explains how Solver is embedding AI agents into FP&A workflows, enabling organizations to analyze trusted, pre-structured financial data and streamline planning processes without requiring extensive manual intervention or custom-built systems.
New features enhance research quality by using multiple models to produce outputs while comparing and refining results, as well as optimizing presentation of research results.