Implementing generative AI requires careful consideration, from investment and data usage to managing ethical and governance challenges.


Copyright: – “10 Questions To Ask Before Implementing Generative AI”


We know generative AI is changing the way we work. The next logical question to ask is: How? As a CEO, I know the pressure this question places on business leaders. A recent survey conducted by our company shows 46% of board members said generative AI is their “main priority above anything else.” This pressure, combined with the relative newness of generative AI and its potential benefits, has leaders scrambling.

Nearly every day, our smart and savvy team of technologists assesses how we implement generative AI. This prompted us to complete two surveys with data leaders and board members to inform us of our approach. Based on the feedback from my team and this research, I would like to share 10 questions that I have learned leaders should ask before implementing generative AI for data analytics in their organization.

1. How much of a priority is generative AI?

In our survey, 46% of board members stated that generative AI is the top priority for the board, but that may be different for your business.

To decide on prioritization of generative AI, consider its expected outcome, your available internal resources and the potential downsides of not adopting it. Your board and leadership team may see its priority differently, so be sure to align with them.

2. How much do we want to invest?

Research by KPMG indicates that generative AI is a top investment focus for CEOs, with 70% of companies significantly investing in this technology. The majority (52%) anticipate a return on their investment within three to five years.

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For a generative AI project to succeed, you will need your technology, legal and leadership teams to invest their time and attention. Consider critically how much of that time you can dedicate on top of the budget needed.[…]

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