Armanino’s Gina Montgomery explains why organizations must move beyond AI experimentation and focus on designing trusted Copilot and agent experiences.
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Andrea Pinillos shares how Microsoft helps enterprise customers run strategic engagement events through internal tools and explains how similar practical solutions can help organizations deploy AI agents that connect to real business data.
Microsoft demonstrates the real-world power of Copilot Studio with a customer support AI agent that reduces latency by 61% and cuts human escalations by 70% through multi-agent orchestration.
Oracle posted explosive Q3 results fueled by unprecedented demand for AI infrastructure. The company’s cloud business grew rapidly, while its data-center expansion strategy and financing plans attracted strong investor support and reinforced confidence in its long-term AI strategy.
Organizations must balance AI experimentation with governance to prevent shadow AI projects from fragmenting data and creating new security risks.
Mark Polino explains why businesses must rethink security roles, implement strict guardrails, and proactively design policies for an AI-driven environment.
Microsoft’s new Copilot Tasks signals a shift from AI chat to autonomous action, positioning Copilot as a personal assistant that can manage everyday tasks through natural-language commands.
New AI features deliver notable enhancements to five types of SharePoint content while the UX is refreshed and agentic AI strengthens governance.
Anthropic Claude-powered feature headlines Copilot Wave 3 announcement. Other enhancements include app-native Copilots and the Microsoft 365 E7 ‘Frontier Suite.’
In this episode, Diego Araujo discusses the challenges enterprises face when adopting AI copilots in Dynamics 365 Finance & Operations, emphasizing governance, user adoption, and selecting high-impact use cases that can demonstrate value quickly and overcome skepticism.
ServiceNow introduces the Autonomous Workforce — AI specialists that work alongside humans to run enterprise workflows end-to-end.
OpenAI has secured $110 billion in funding from Amazon, NVIDIA, and SoftBank, valuing the company at $730 billion. The investment aims to expand global AI infrastructure, accelerate frontier model development, and scale enterprise and consumer AI adoption worldwide.
As enterprises require AI models to deliver consistent, secure performances on a regular basis, organizations need an AI-ready security foundation that protects their data, meets regulatory demands, and brings order.
Framework lets users and developers bring their own models, supports both A2A and MCP for seamless integration of diverse AI tools, Will Hawkins and Rich Hawkins note.
A practical guide to how AI-powered test automation eliminates the cost, risk, and disruption of manual software testing for Microsoft Dynamics 365 users.
With only about 15% of consumers using customer-facing AI, grocery retailers are shifting their strategy. Instead of pushing AI directly to shoppers, companies are investing in AI copilots for store associates to drive operational efficiency and better customer service.
As AI infrastructure demand surges toward a projected $4.3 trillion market, OpenAI recalibrates its spending timeline to balance investor confidence with continued aggressive investment in compute infrastructure.
Financial services, manufacturing, and retail are leading AI agent implementation, demonstrating how operational use cases are driving measurable transformation across high-impact sectors worldwide.
Salesforce’s planned acquisition of Momentum strengthens its AI portfolio by integrating unstructured conversational data into Agentforce 360 and Slackbot, accelerating agentic workflows and delivering deeper customer insights for sales and go-to-market teams.
Microsoft expands Copilot with business-process agents, tuning templates, and standalone AI assistants designed to transform workflows across sales, finance, service, and enterprise productivity.