Google Cloud Industries’ Vice President, Manish Sood, recently shared insights into the do’s and don’ts of generative AI projects. Sood advised that companies should not rush into AI projects without a clear vision or strategy. He stressed the importance of understanding the business problem and identifying the right data sources before embarking on the project.
Sood also emphasised the need for collaboration between different departments, including IT, business, and data science teams. He noted that the most successful AI projects are those that have a multidisciplinary team working together.
Another key point made by Sood was the necessity of a robust data governance framework. He warned against the false belief that more data is always better, asserting that the quality of data is more important than quantity.
Finally, Sood highlighted the role of leadership in successful AI projects. Leaders should not only support their teams but also be willing to invest in training and upskilling. Sood concluded that a strong leadership commitment is a crucial factor in the successful implementation of AI projects.
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