Host: Scott Buchholz, principal, Deloitte Consulting LLP
Despite widespread experimentation with artificial intelligence (AI), some companies still struggle to ethically and responsibly scale up AI innovations. How can technology executives deliver the greatest value with AI as quickly as possible, considering the implications across data, technology, talent, and operation model dimensions? We’ll discuss:
- Ways to predict, prioritize, and capture the value of AI for the business.
- Architectural capabilities needed to scale AI.
- How AI can affect the workforce.
- The elements of a trustworthy AI governance system for responsible and ethical innovation.
Meet the speakers
Scott Buchholz is a managing director with Deloitte Consulting LLP and serves as the Government and Public Services chief technology officer and the national Emerging Tech Research director. A leader and visionary with more than 25 years of experience, he advises clients on how to navigate the future using existing and emerging technologies. Buchholz also leads Deloitte’s efforts to explore quantum computing and quantum technologies.
Jeffrey is a managing director in Deloitte Consulting’s Strategy & Analytics practice. Jeffrey has more than 25 years of experience helping clients develop and execute strategies to take advantage of disruptive technologies. Most recently, he has focused on helping clients clarify their understanding of artificial intelligence (AI), it’s value proposition to them, their paths to closing enablement gaps in human and technical capabilities, and their options for establishing and refining governance to help safeguard against AI’s unique challenges.
Rich Nanda is a principal in Deloitte Consulting LLP, where he serves as the leader of Deloitte’s US Monitor Deloitte practice. He has significant experience in guiding clients through strategy-led transformation to achieve profitable growth. He routinely advises boards, CEOs, and executive teams at consumer products companies on topics spanning growth, business model innovation, operating models, capability building, analytics, and technology adoption.