AI adoption Challenges across industry verticals
Abstract
AI adoption is at its peak and is very much needed for every business to stay relevant, and compete in the market. However, it brings its unique challenges for each industry player. There is a need to be aware about those challenges and what kind of strategy to address those issues. In this talk we will talk about different challenges that businesses are facing around data, trust, talent, technology and their likes.
Speaker
Thought Leader in AI, Data Science, Digital Transformation, Cloud, Agile, BlockChain, IoT
Author, Speaker, Applied AI expert and Moderator.
An author, business technology futurist, speaker, applied AI expert and Lead Data Scientist at IBM. Chan advises the world's top technology, industry firms, and business leaders on how to continually innovate in an age of unprecedented technology change. In his new book (to be published in 2020), AI Strategy, Chan along presents a holistic view on AI and shares a complete roadmap for operationalizing AI and running AI initiatives in a more strategic and all-inclusive approach.
He brings extended experiences of AI (Data Science, ML, DL etc.) and CS related areas across different industries. He has been involved in several AI projects in various sectors such as Financial Services, Healthcare, Insurance, Communications, Transportation, etc. He is a specialist in ML, DL, and AutoAI. He leads delivery of AI based applications and strategic use cases to different clients across the EMEA region. His focus spans the end to end delivery of Data Science & AI solutions ranging from Strategy, transformations and execution to enable organizations to become data driven. He has contributed to capacity building and developing several Data Science teams at large tech and corporate organisations.
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