Why Companies are Struggling to Implement AI at Scale

Advancing the AI Agenda

Organizations everywhere are piloting or experimenting with AI, but the large-scale implementations are far and few between. The ability to overcome this hurdle will be vital to success in the digital economy where AI will increasingly play a role in mission-critical business processes. On this podcast, Brad Hairston talks with Tom Davenport, a world-renowned author, speaker, advisor, and expert on AI, who explains why companies are struggling to implement AI solutions at scale and how they can solve this going forward.

Here’s what we talked with Tom about:

• The pace of adoption of AI
• The ROAI™ Institute and what it aims to achieve
• The primary reasons companies have had difficulty implementing AI at scale
• How companies can get out of “pilot mode” and implement AI at scale
• The impact of bias on AI’s progress and adoption
• How robotic process automation has helped introduce AI to companies
• The validity of a future shortfall in the computer and mathematics jobs necessary for AI
• How quantum computing will affect AI
• Where AI will make the biggest impact in the short-term and long-term
• Advice on AI and other emerging technologies for those entering the job force in the coming years

Related content you may enjoy:

• Web Site | Tom Davenport
• Web Site | The ROAI Institute
• White Paper | AI for the Masses
• Podcast | The Future of Jobs in the Era of AI
• Podcast | Digital Acceleration Through AI
• Video | The Executive's Guide to AI and Intelligent Automation

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