Winning AI strategies for organizations — Some tweet thoughts on a MIT chat

A night at Sandy Hook, Connecticut, USA. Photograph queried from the author’s phone using the word ‘forest’.

On 23rd October 2019, I participated in a live Twitter chat (#MITSMRChat) t on ‘Winning Artificial Intelligence (AI) Strategies’ organized by MIT’s Sloan Management Review. I got an opportunity to interact with a diverse group of brilliant AI practitioners and answer some questions. These are shown below .Each answer below was shared as a tweet, thus prizing brevity & clarity of thought.

How does one handle data cleaning problems for AI — I would prefer to call these as data challenges rather than as data problems. The organizational data hoses will keep getting larger. Big Data is a reality. Generic frameworks are needed to be developed for easily mapping organizational data for AI usage.

Where does one start an AI project in an organization ? — One may look at the methodology suggested by Professor Ajay Agrawal to identify the organizational tasks & workflows where AI generated cost-effective predictions could have maximum impact. This could be a good starting point across business domains & functions in organizations.

Should organizations start with a Big Bang AI project ? Andrew Ng who is considered as one of the pioneers of modern AI suggests the exact opposite. A Big Bang AI project is a highly risky one. A tiny, yet strategic project — from which learnings can be scaled both horizontally & vertically —…