This session offers attendees the opportunity to become more familiar with AI governance. Given that IBM reports only 39% of CEOs think their organization’s AI governance is effective, there is a clear need for data practitioners to learn how to use AI governance frameworks to produce business value, mitigate risk, and improve practices surrounding AI projects. 

• Participants will come away with a clear understanding of the following topics:
• Brief history of AI governance 
• Adoption trends in AI governance frameworks
• Potential impact of AI governance
• Common elements shared by leading AI governance frameworks

The presentation concludes with an assessment of leading AI governance frameworks and recommendations for practitioners designing their own framework.

Speaker: Nicole Janeway Bills

As the founder of Data Strategy Professionals, Nicole Janeway has helped thousands of data professionals in their preparation for the Certified Data Management Professional (CDMP) Exam through email courses, notes, practice questions, monthly study sessions, and community. Nicole is a Data Strategist with a background in machine learning, as well as experience as a Commercial and Federal Strategy and Operations Consultant. She provided data science solutions and data strategy consulting to the U.S. government. She is proficient in Python, SQL, React, Node, and Express. Her business experience includes web and mobile development, natural language processing (NLP), cloud computing, statistical testing, pricing analysis, and ETL processes.

Speaker: John O'Donovan

John is a Data Management professional with global experience leading end-to-end solution deployments, data governance, data strategy, and technology integration initiatives across various industries. He excels in working with business leaders to map complex concepts into executable strategies, building high-performance global teams, leading multi-million dollar cross-functional projects, and implementing scalable architectures leveraging various technology platforms. John's unique blend of business knowledge and technical expertise enables him to engage teams at all organizational levels. He has led data-driven decision implementations with companies such as The Home Depot, Macy's, Procter & Gamble, Teradata, and GE-Plastics. He is recognized by DAMA for a Master Level passing score on the CDMP Fundamentals Exam.