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AI in Action Program: AI Activation for Microsoft AI Solutions

OmniData Insights

Traditional AI Consulting is dead. Shift and accelerate AI ideation from talk to traction leveraging Azure AI Foundry and Microsoft Fabric

Nearly 80-90% of AI initiatives are currently failing. AI's allure has finally worn off, and many organizations have fallen into the "Trough of Disillusionment".

The key driver is the failure to define a well-constructed AI use case.

This 2-day program, led by Fresche Solutions and our partners see6, is a team-based AI simulation that puts business leaders in the driver’s seat of a Le Mans race team. This unique, programmatic approach leverages a gamified AI experience and closely aligns learning with strategic business priorities. AI in Action shifts and accelerates AI ideation from talk to traction.

The takeaway? A series of highly defined and prioritized AI use cases taking you from ideation to feasible application. No static slides or generic training. It's an immersive, hands-on, cross-functional game to activate AI knowledge, drive insights, gain buy-in, and align business decisions, mapped to specific high-value outcomes. Intensive, In-person collaboration helps organizations understand, identify & map practical AI use cases to the Microsoft technology ecosystem, including Azure AI Foundry, Microsoft Fabric and Azure Databricks.

Here's how it works:

Phase 1: The Simulation

  • Introduction to AI: Reintroduce the myths and truths of AI, emphasizing practical applications in day-to-day operations.
  • Current State Analysis & Understanding: Understand common operational challenges within the business.
  • AI Capability Development: Showcase how AI can enable more strategic, data-driven decisions.
  • Use Case Prioritization: Participants select and rank the most impactful AI use cases for their business.

Phase 2: Deep Practical Application Follow-up sessions convert simulations into an AI action plan:

  • Use Case Deep Dive Sessions: Leaders collaborate to evaluate and refine each use case, including feasibility.
  • Technical Feasibility Analysis: Use cases are assessed for technical needs, data readiness, and possible challenges.
  • Reporting and Documentation: A detailed report outlines each selected use case and its business context.
  • Re-prioritization of Use Cases: Use cases are re-prioritized based on the findings in previous steps.
  • Presentation and Feedback: Stakeholders review the solutions and agree on the top use case to implement.
  • Project Solution Approach: A detailed project solution approach and cost model are developed for the use case.

Leveraging the Microsoft AI Ecosystem:

The AI in Action program utilizes Microsoft Fabric as a data orchestration agent, alongside Azure AI Foundry for LLMs. While leveraging the built-in machine learning capabilities of the Microsoft platform, our focus remains on creating a cohesive, enterprise-grade AI solution. This solution will encompass governance, security, deploy ability, and all the essential elements necessary for a comprehensive and effective implementation.

What you get:

  1. Foundational Understanding of AI Impact
  2. Cross-Functional Team Buy-in
  3. Meticulous AI Use Case Ideation Process
  4. Unanimous Use Case Alignment
  5. Detailed Technical Documentation for Azure AI Foundry & Microsoft Fabric
  6. Comprehensive AI Execution Roadmap

Tired of AI initiatives that are dead on arrival? This is your path to real AI activation tied to real business outcomes.

At a glance

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