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Events

19 Apr

Crafting your future-ready enterprise AI strategy

Andrew Welch, CTO + Founder @ Cloud Lighthouse

Ana Welch, Sr. Solutions Director @ Kerv Digital

It is as yet unknown if artificial intelligence is more akin to a “great invention” of the 19th and 20th centuries, or if it will ultimately represent another more incremental evolution of existing capabilities. The former—as seems more likely given the immense investments being made today—will present significant challenges to nearly every organization that, having become accustomed to incremental change, is suddenly faced with a “great inventions” caliber paradigm shift that AI seems to portend. Or, as I continue to remind the CIOs with whom I work closely, the grace period for organizations to get their act together and position themselves for the next wave is growing much shorter, the margin for error much more narrow. In this session we will explore AI strategies that are flexible, able to absorb tomorrow what we don’t fully grasp today, strategies that offer value to the organization beyond specific AI-driven workloads because the nature and value of these workloads will remain unclear for some time. We will understand core concepts behind AI acting on enterprise data, present a framework of five pillars upon which future-ready AI strategies are built, and discuss concepts and approaches to mitigate risk in your organization’s AI strategy.

Power Platform in a Modern Data Platform Architecture

Andrew Welch, CTO + Founder @ Cloud Lighthouse

Ana Welch, Sr. Solutions Director @ Kerv Digital

Power Platform solutions are increasingly integrating with an organization’s existing data, not just operating on their own. This session will cover five key ways to connect Power Platform to your data platform via Fabric and other Azure data services.. This is especially useful for architects, developers, and IT decision-makers to understand which method to use and how to combine them effectively. These methods are:

Point-to-Point: Direct connections between services;
Data Consolidation: Bringing data together in one place;
Master Data Node: Using a central source for all data;
Data Landing Zone: A staging area for data before use;
Data Distribution: Spreading data out to where it’s needed.

We’ll discuss each method’s advantages, disadvantages, and typical technologies used, focusing on Fabric, Dataverse, and Microsoft’s data integration tools. This knowledge will you help scale Power Platform solutions and leverage Power Platform data for enhancing AI capabilities within organizations.

I want to become your companion — A different 👀 at Copilot

Chris Huntingford, Director of Innovation @ ANS Group

Carsten Groth, Power Platform Global Blackbelt @ Microsoft

In this session Chris Huntingford and Carsten Groth take an unexpected look at Copilot feature in Power Platform. You cannot miss this opportunity to learn more about simplifying your business life using GenAI.