Lessons Learned From Managing AI Innovation Projects

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In this session, Senior Engineering Managers will share the pains and successes of over 18 months into the GenAI revolution.

From setting goals, communicating expectations, and choosing the right innovation activities, such as hackathons or PoCs, this session is targeted at business leaders, senior managers, and AI stakeholders like product

00:00 - intro

05:00 - Generative AI Integration and Business Potential

12:25 - AI Initiatives, Risks, and Strategies

20:00 - Finding a Good Initiatives

25:45 - Generative AI Integration and Success

32:00 - Initiatives - Getting The Ball Rolling

37:55 - From Initiatives To Roadmaps

41:35 - Managing AI Innovation Projects

50:00 - How To Wrap Up PoCs

Key Topics Covered:

• Main Challenge: Identifying and Executing Successful AI InitiativesWe address the inherent risks, such as data privacy concerns, security issues, and model inaccuracies, emphasizing the importance of framing these risks as integral parts of the innovation process rather than obstacles.

• Strategies for Identifying Promising AI OpportunitiesThe discussion includes targeting human-intensive tasks, ensuring human oversight in AI processes, and leveraging unstructured data to uncover new insights and opportunities.

• Practical Tips for Getting StartedOur experts highlight the role of hackathons in sparking innovation and the importance of utilizing structured frameworks to evaluate ideas effectively, helping you kickstart your generative AI initiatives.

• Investing in the Right InfrastructureWe explore how investing in the right tools and systems can accelerate the development process while also discussing how to avoid common pitfalls that often derail AI implementation efforts.

• Ensuring Success with POCsSetting clear acceptance criteria and baselines is crucial to keeping your Proof of Concepts (POCs) on track, ensuring that your generative AI projects meet their goals and deliver value.

Special Thanks:

• Inbal Budowski-Tal, Senior Director of Machine Learning at Pendo.io

• Tal Arnon, VP R&D at Panaya