94. Why Companies are Struggling to Implement AI at Scale

<p>Advancing the AI Agenda</p> <p>.</p> <p>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.</p> <p>.</p> <p>Here’s what we talked with Tom about:&nbsp;</p> <p>* The pace of adoption of AI</p> <p>* The ROAI™ Institute and what it aims to achieve</p> <p>* The primary reasons companies have had difficulty implementing AI at scale</p> <p>* How companies can get out of “pilot mode” and implement AI at scale</p> <p>* The impact of bias on AI’s progress and adoption</p> <p>* How robotic process automation has helped introduce AI to companies</p> <p>* The validity of a future shortfall in the computer and mathematics jobs necessary for AI</p> <p>* How quantum computing will affect AI</p> <p>* Where AI will make the biggest impact in the short-term and long-term</p> <p>* Advice on AI and other emerging technologies for those entering the job force in the coming years&nbsp;</p> <p>.</p> <p><em>To ensure that you never miss an episode of Transform NOW, be sure to subscribe! </em>&nbsp;</p>