The AI wave has come on faster than most expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment was beginning to turn positive. Then ChatGPT arrived, and suddenly AI was everywhere. If a company thought AI was critical to its future before, it has now acquired a new sense of urgency far beyond what it previously had.
Why do I believe AI will generate ROI and solve this problem better than it is solved in my business today? If I am convinced of the above, does my organization understand that the data practice and the AI practice have to evolve together? Is it clear to my stakeholders that putting the AI ahead of the data is likely to fail, but if properly executed, all data for all use cases does not have to come ahead of AI for a particular use case? Do I have an organization in place that can orchestrate this...
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