Artificial intelligence (AI) is finally coming into its own. Technologies such as ChatGPT, DALL-E, driver-assistance, and autonomous robots are clear signs of an AI-driven market shift. AI technologies, in particular machine learning (ML), are being applied in all sectors of the economy. Your organization is likely to soon be running projects to apply and even develop AI if it isn’t already doing so. Are you ready?
This talk overviews AI and how AI/ML initiatives work. We also explore several critical challenges, including the experimental nature of AI initiatives, that data quality is critical to your success, the high failure rate of AI initiatives, and the ethical considerations surrounding AI. We examine the implications of these challenges and work through strategies to address them.
Agenda:
- What is(n’t) AI?
- AI terminology in a nutshell
- Are you ready for AI?
- The lifecycle of an AI/ML initiative
- Overcoming the data quality challenge
- Ethical considerations with AI
- Business implications of AI
PMI Talent Triangle: Ways of Working
PDUs for this Course: 0.75
SCOTT AMBLER
Scott Ambler is an Agile Data Coach and Consulting Methodologist with Ambysoft Inc., leading the evolution of the Agile Data and Agile Modeling methods. Scott was the (co)-creator of PMI’s Disciplined Agile (DA) tool kit and helps organizations around the world to improve their way of working (WoW) and ways of thinking (WoT). Scott is an international keynote speaker and the (co-)author of over 25 books, including Choose Your WoW!, Refactoring Databases, Agile Modeling, Agile Database Techniques, and The Object Primer 3rd Edition.
