As AI turns knowing and doing into commodities, this keynote reveals why creators — those who turn insight and imagination into value — are becoming the new power players in business.
Business Intelligence
This session reveals the predictable failures of GenAI adoption, while delivering real-world case studies and a practical framework for using AI and agents to fix business models and drive value creation.
Gain insights on AI industry strategy and governance from this discussion with Microsoft and Alithya representatives.
This session breaks down the strategic shifts, early moves, and practical starting points that separate successful AI practices from those that stall, following the AI journey of TD Synnex
This panel explores practical strategies and real‑world examples for reskilling people with AI to build a future‑ready, human‑centered workforce.
Learn from this panel about how to apply frameworks to make smarter, intentional decisions pertaining to AI adoption.
Explore what MCP servers are, why they matter for the Business Central ecosystem, and how they create new possibilities for AI-driven automation and integration.
Gain insights from this demonstration on enterprise integration patterns, architectural design principles, and production strategies for data agent systems.
Christopher Lochhead outlines why those who cling to execution and efficiency risk obsolescence, while those who design new categories, solve new problems, and build capital flywheels will define the next era of business.
A deep look at AI agent usage by Google Cloud reveals telecom and manufacturing firms setting the pace, while security and customer service use cases are benefiting a range of industries.
Microsoft and Gong are integrating AI-driven sales intelligence into Microsoft 365 and Dynamics, enabling sellers to automate workflows, access deep conversation insights, and drive faster, data-informed decisions using Copilot and custom agents.
Sample app highlights how MCP can equip users with the industry-specific data they require from a diverse set of external tools and systems, working alongside a powerful AI orchestration engine.
Microsoft demos specific Purview functions that customers can tap into in AI use cases so they are protecting critical corporate data assets from both malicious external actors and insider threats.
From multi-agent interactions to supply chain vulnerabilities, AI agents introduce a number of potential security risks. A new resource lays out the risks and steps to prevent them, while leaning on red teaming practices.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
This week’s Build conference featured a new round of AI agent interoperability initiatives from Microsoft, with a particular focus on Model Context Protocol (MCP) and new servers.
Microsoft partners with AI software provider Gong to deliver the latter’s sales intelligence directly into customers’ software ecosystem for higher sales performance.
Data.world acquisition, partnerships with key enteprise software players, and wide range of new AI agents enhance the company’s objective to be the core enterprise software platform.