Microsoft’s Leon Welicki urged Community Summit attendees to overcome their fear of AI agents, highlighting Power Platform customer successes and demonstrating how humans and intelligent agents can collaborate to improve business processes.
Microsoft executives Leon Welicki and Dona Sarkar joined Innovia Consulting’s Shawn Dorward to discuss practical AI adoption strategies, emphasizing leadership, clear business goals, and choosing the right technologies to improve enterprise workflows.
Microsoft’s Digital Defense Report 2026 explains how automation accelerates threats and why organizations must embrace continuous security monitoring, proactive threat detection, and faster incident response.
ServiceNow launches Flow, a standalone AI-native service desk that deploys in under a day and uses agentic automation to transform how businesses manage employee requests.
Microsoft and HSO executives explained how Work IQ can help Dynamics 365 customers reduce AI costs, improve agent accuracy, and streamline business processes during a Community Summit NA roundtable focused on enterprise AI adoption.
At Community Summit 2026, Women in Tech speakers explored how artificial intelligence, mentorship, professional relationships, and self-advocacy can help women navigate workplace challenges, develop leadership skills, and build more fulfilling careers.
Google Cloud CEO Thomas Kurian revealed 12 powerful Gemini Enterprise customer success stories, highlighting extraordinary AI ROI, productivity gains, and cost savings as nearly 90% of Fortune 100 companies adopt the platform.
Google Cloud showcases 12 powerful Gemini Enterprise customer success stories, demonstrating how businesses are turning AI investments into cost savings, operational efficiency, and competitive advantage.
Community Summit NA 2026 opened in Nashville with Microsoft leaders and enterprise customers exploring AI agents, vibe coding, governance, and business transformation, emphasizing the importance of human judgment, employee engagement, and measurable outcomes.
Google Cloud’s Gemini Agent combines personal AI capabilities with enterprise-grade governance, multicloud connectivity, and model flexibility. CEO Thomas Kurian believes these integrated features will help organizations deploy sophisticated AI agents more efficiently and affordably.
Procurement leaders expect AI to drive innovation and accelerate core processes, but first they need to reinvent their operations and get their people on board.
Google Cloud’s Gemini agent launch signals a broader shift in enterprise AI, as business leaders increasingly demand technology partners who understand operational priorities rather than simply promoting technical capabilities.
Explore how Google Cloud and Thales, alongside SAP and NVIDIA, are embedding security and governance into agentic AI workflows — and why industry collaboration could be key to building a safer, more trustworthy AI ecosystem.
IBM research finds that financial institutions expect major gains from agentic AI but must redesign outdated operating models, integrate data, and establish accountability across workflows to realize those benefits.
Google’s reported shutdown of its open-source bug bounty program reveals how AI-generated security reports are overwhelming cybersecurity teams and creating new challenges for vulnerability detection.
Workday launches Total Benefits, an AI-powered platform that simplifies benefits administration, empowers employees with personalized guidance, and signals a shift toward continuous, agentic AI-driven HR experiences.
Rather than forcing enterprises to integrate numerous complex modernization technologies themselves, Google Cloud is combining existing tools and new agentic AI capabilities into an end-to-end architecture designed to dramatically accelerate legacy technology transformation.
AI leaders are embracing self-regulation as Washington weighs stronger oversight, raising questions about enforcement, consumer risk, and how the U.S. can regulate AI without slowing innovation.
Google Cloud is simplifying enterprise modernization with an AI-driven, end-to-end approach that can shrink complex business-case processes from weeks to minutes.
Microsoft has distilled lessons from hundreds of internal AI transformation projects into five principles focused on business outcomes, end-to-end workflow redesign, employee involvement, expanded human capabilities, and continuous learning between people and AI.