AI for Public Sector – How Government can Leverage Generative AI for Impact

Canadian Government Executive Radio

Interview with Paul Zikopoulos – Vice President, IBM Skills Vitality and Enablement

In our latest episode of CGE Radio, J. Richard Jones speaks with Paul Zikopoulos, Vice President, IBM Skills Vitality and Enablement about artificial intelligence you can trust and deploy at scale in government / public sector.

Paul is a renowned writer and speaker on AI and Big Data, consulted by "60 Minutes" and NATO generals. Named on numerous global "Experts to Follow" and "Thought Leader" lists, he has authored 21 books and over 360 articles. At IBM, Paul directs strategic initiatives for the IBM Technology Unit's sales and learning programs. He actively promotes Women in Technology, winning IBM Canada’s “Women in Technology Ally of the Year” and serving on several advisory boards. Despite his success, Paul stays grounded, always learning from his experiences and his daughter Chloë. Follow him on Twitter at @BigData_paulz.

IBM is a leading global hybrid cloud and AI, and consulting services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to their clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit www.ibm.com

In this episode:

• How public sector should organize to prepare for generative AI
• How Generative AI can help in Canada and abroad
• The practical use cases that IBM focusses its innovation around
• How IBMs work with AI differ from others
• And more!