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Generative AI Strategy

Posted: Wed Feb 12, 2025 9:11 am
by asimd23
People forget that generative AI is still AI; it needs the capability that any AI would have in terms of strategy, technology, tools, and people. So, it is highly recommended that executives think about this as part of their overall AI strategy. One of the ways the strategy has changed is the need for better governance, shorter roadmaps, and more use cases.

If not treated this way, generative AI and LLMs lebanon whatsapp number data would remain as isolated and siloed implementations without much interconnectedness and proper governance.

For now, the three key facets of any GenAI playbook should be: Strategy, Infrastructure, and Roadmap.

One of the biggest challenges we are seeing organizations face right now is that even before reaching the Proof of Concept (POC) stage, most lack a well-defined strategy and a set of identified use cases. It’s important to identify use cases with low complexity but high impact and low validation. This might be possible by creating a matrix of feasibility vs. business value each of them provides and choosing the right one based on your priorities. Based on which function to start, which department to work on, and the type of implementation you want, prioritize the ones that have maximum value. Some of the types of LLM implementations include.