Vixxo's AI copilot, Vita, began with a technician, not IT. Built for the field, it speeds up manual access, improves fix rates, and lowers costs. Success came by starting small, proving value, and earning trust through real use. AI must deliver where it counts.
Copilots serve as modern user interfaces, while agents optimize workflows. It's essential to shift away from isolated functions and rigid procedures. AI adapts dynamically for faster HR processes, smarter sales, and improved support. Use Copilot Studio to create customized agents.
AI agents are like apps with reasoning. They track context, escalate smartly, and hand off tasks. Think modular, like microservices. Every org will have a gateway agent supported by specialists. Garbage in, garbage out. Build wisely.
AI ROI isn't automatic. Adoption varies, metrics can mislead, and skill gaps remain. Track collaboration, onboarding, and real use, not just time saved. Move from isolated tools to integrated solutions. Focus on what truly drives business impact.
AI is not an add-on but a central component. Evolve roles, organizations, and intellectual property. Empower idea-scalers. Rethink capital. Build agile teams and unlearn outdated rules. Lead from the future or risk losing talent and relevance.
Most AI conversations still confuse more than they clarify. This session at the AI Copilot Summit finally broke it down explaining how AI really works, what leaders need to know, and what it takes to move from experimentation to enterprise-scale impact.
Is poor data management stalling your AI progress? At the AI Agent & Copilot Summit NA, experts shared how Microsoft Fabric unifies data, boosts quality, and cuts costs and how tools like OneLake & Purview modernize AI adoption.
Finance teams waste time on manual tasks. Microsoft Copilot for Finance automates reconciliation, variance analysis, and reporting by integrating with Outlook, Excel, and ERP systems. AI cuts errors, boosts insights, and lets CFOs focus on strategy.
AI success relies on quality data, yet poor data costs businesses trillions. A 2018 AI project failed due to bad data, while a 2024 one thrived by prioritizing data readiness. Key steps: align AI with goals, engage stakeholders, assess data, run pilots, and manage change.
AI is changing the way enterprises handle documentation, making it faster, more accurate, and easier to manage. With AI-driven processes, teams spend less time on updates and onboarding while reducing support tickets. Here’s how companies are using it to save time and cut costs.
Microsoft Fabric offers a unified platform for data analytics, integrating tools like Data Factory and Power BI. It reduces costs and complexity, enhances security, and speeds up insights with AI-driven analytics. Stay ahead by adopting Fabric for scalable, efficient data management.
Microsoft's AI-powered ERP in Dynamics 365 automates finance, supply chain, and compliance, eliminating manual work and making operations predictive and efficient. Innovations like AI-driven invoice processing and real-time supply chain planning transform enterprise workflows.