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AI for Business: Scaling AI for Enterprises
February 1 @ 5:30 pm - 7:30 pm UTC-5
Presented by CIO Association of Canada, a CIPS Partner
February 1, 2024 5:30 PM – 7:30 PM (EST)
Description
2023 may have been the year Artificial Intelligence moved into the mainstream, but 2024 will quickly become the year where it is deployed for business, at scale. One of the first, most immediate lessons has been to ensure AI is embedded in the long-term strategy, with safety at the top of mind for the decision makers.
At this CIO Association of Canada event on February 1st, you will hear from IBM AI leaders that have already embedded AI into their client experience and internal business operations, while ensuring that it was built with governance and trust – which is vital for the ongoing success of IBMs AI based business transformation initiatives.
You will also learn about the opportunities and challenges encountered throughout the rollout. IBM leaders will show these cutting-edge elements already adopted to serve more than 200,000 employees, finding efficiencies in worldwide supply chains and serving clients faster. Most importantly, they will explore and discuss the bleeding edge research for Software, semiconductor and hardware enabled platforms.
Manav Gupta
VP Technical Sales & CTO, IBM Canada
Manav Gupta is an IBM Distinguished Engineer, IBM Master Inventor, industry thought leader and published author.
As VP & CTO, IBM Canada, Manav leads Canada Technical Sales Team comprising Brand Technical Specialists, Account Technical Leaders, and Client Engineering teams. His focus is on helping key IBM clients on their journey to hybrid cloud and scaling of AI solutions.
With over 25 years of practical expertise with distributed systems, Manav is uniquely positioned to apply IBM capabilities to provide critical business solutions to IBM clients . He has written several books on cloud computing, big data & analytics, and blockchain.
Manav has been awarded 45 patents in the fields of distributed computing, wireless communications, and machine learning.
Daniel Klyashtorny
Strategic Research Partnerships, IBM
