How to set up an ai center of excellence
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The document outlines the establishment of an Artificial Intelligence Center of Excellence (CoE), detailing its necessity, implementation strategies, and project lifecycle. It emphasizes creating a vision for AI, managing data architecture, and building a skilled AI team, while also addressing governance, execution support, and benefits of AI integration. The conclusion stresses the importance of a structured CoE for successful AI adoption and investment in valuable projects.
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How to set up an ai center of excellence
- 1. ARTIFICIAL INTELLIGENCE Presented by Group 6 HOW TO SET UP AN AI CENTER OF EXCELLENCE
- 2. COVERED TODAY A BRIEF OUTLINE Why Do You Need an Artificial Intelligence CoE ? What an AI Team Should Do ? Strategies to implement AI CoE CoE Project Life Cycle Framework of execution Challenges Benefits of AI CoE Conclusion Artificial Intelligence | Group 6
- 3. WHY DO YOU NEED AN ARTIFICIAL INTELLIGENCE COE IN YOUR ORGANIZATION? HOW DO WE GET THERE?
- 4. What an AI Team Should Do ? VISION Create a vision for AI in the company USE CASE Identify business-driven use-cases AMBITION Determine the appropriate level of ambition DATA ARCHITECTURE Create a target data architecture EXTERNAL INNOVATION Manage external innovation AI CHAMPIONS NETWORK Develop and maintain a network of AI champions SUCCESS STORIES Spread Success stories
- 5. Executive Sponsorship Leverage Data Right Problem Artificial Intelligence | Group 6 STRATEGY TO IMPLEMENT AI COE BenchmarkRight Team Repeatable AI Solutions
- 7. CHALLENGES BUILDING THE TEAM Artificial Intelligence, machine learning, data science and programming, people need to work together Recruiting and retaining AI talent Re-skilling of your current open- minded tech team MAKING DATA ACTIONABLE Identify various types of data available; its meaning, location, origin & structure. How data will be stored, analyzed, processed and protected. How various data will be packaged for reuse? What policies to implement for effective data governance? Artificial Intelligence| Group 6
- 9. GOVERNANCE AI ADOPTION STRATEGY KNOWLEDGE AND GUIDANCE BENEFITS REGULAR AI COACHING BUSINESS NEED ANALYSIS AI BUSINESS USE CASES OPTIMUM AI OUTCOMES REUSE OF DATA
- 10. VALUE MANAGEMENT Ensure the organization invests in valuable projects and derives optimal benefit from its AI investments DEMAND MANAGEMENT Allocating resources (people, funding) across all projects in flight and monitoring spend. This will be critical as choosing the right projects is key as is funding them for success. EXECUTION SUPPORT The CoE supports various lines of business during its lifetime. This requires a provision of dedicated technical and subject matter experts, working together with operational resources from the line of business. DATA MANAGEMENT Presentations are communication tools that can be used as demonstrations, lectures, speeches, reports, and more. Most of the time, they’re presented before an audience. FRAMEWORK OF EXECUTION
- 11. ENABLEMENT Provide systematic and iterative education by role, with support at every step in the form of classes and consultations. APPLICATION DELIVERY Delivery of business specific applications (and associated documentation) that integrate the workflow end to end, from incoming data, to output into downstream applications or dashboards. FRAMEWORK OF EXECUTION
- 12. CONCLUSION IMPACT OF AI AI is impacting major industries & has massive implications. MOVING AHEAD To prevent an organization’s fall behind while using AI is to put a Center of Excellence in place. STRUCTURED A COE provides the structure, the governance, the prioritization capabilities and the measurement mechanism to impart accountability on this, most critical of initiatives.
- 14. BE INSPIRED The collar of future is hoddie