While the need to leverage AI to tap into data insights is widely acknowledged by organizations, their path to successful AI adoption comes with several challenges. Taking a business centric approach, hiring the right resources, and building digital data over time, are some factors that could heavily influence outcomes.
Key Discussion Points:
- Augmenting human intelligence with AI
- Need for the industry to work in tandem with academia to solve challenges
- Key success factors
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- Project categorization
- Taking the right approach – critical do’s and don’ts
- Choosing low hanging use cases with high impact
- Hiring and nurturing the requisite skillsets
- Getting proactive with predictive and prescriptive intelligence