Designing AI Programs for Success

4-Part WEBINAR Series

In this series we explore the issues that continue to plague AI projects and reduce the likelihood of success.  The sessions will provide actionable steps using proven processes to improve AI program outcomes. 

Speakers:

Seth Earley, CEO & Founder, Earley Information Science

Cal Al-Dubaib, Managing Partner, Pandata

 

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1. Why AI Projects Fail – 3 Key Ingredients To Success

The series begins with a discussion of mistaken beliefs regarding AI and what it takes to be successful.

Topics covered include:
  • 3 key ingredients for a successful AI project
  • Why AI projects fail
  • Asking the right questions
  • Setting and managing realistic expectations

 

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2. Organizational Readiness

In this session our data science experts tackle who needs to be a part of your AI team,  and the factors that influence how well an AI pilot can be operationalized and scaled. 

Topics covered include:
  • Why you can’t outsource everything
  • The underlying processes needed to support an AI initiatives
  • Focusing on the foundation (processes, metrics, outcomes)
  • Finding baselines and measuring impact

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3. Why You Need Ontology And Information Architecture for Artificial Intelligence To Succeed

Ontology is a new sounding term if you are not in the AI, library science or semantic space. There is a philosophical context and there is our context. In philosophy, ontology is the study of being. In our information context, it describes a domain of knowledge.

Topics covered include:

  • Ontology: what is it and why should you care?
  • Why lots of data alone won’t be enough for AI success
  • Determining when an ontology is needed
  • Understanding of how ontologies are developed and applied

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4. Continuing the AI journey – How And Where To Focus Resources

Many organizations have begun their AI journey and need to bring capabilities to the next level. There may be disconnected approaches and decentralized decision making. Lessons and successful approaches are not leveraged across siloes or repurposed and built upon. In other cases, projects may have shown value in a pilot, but are being held back from full deployments by various constraints.

Topics covered include:

  • Determining priorities for your efforts
  • Installing metrics to monitor progress and impact
  • Structuring governance and decision making
  • Engaging in appropriate risk and change management

 

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