5 Elements of an AI Strategy: Deliver Rapid Results & Long-Term Success
AI strategy. It’s a fantastic ‘buzzword’ that captures the hearts and minds of forward-thinking leaders and board members with visions of reduced costs, increased profits… and FUD. It blends the importance of everyday organizational planning with the titillating long-term promise of AI.
One could argue, as with most buzzwords, it’s becoming overused, but for a good reason. Organization without a proper plan for evolving their operations and even their industry with real-world applications of data science and machine learning are sure to be left in the dust. Everything starts with a vision. We all need a big visionary AI strategy. Once the strategy is in place, the execution should be the easy part.
But like every big visionary concept, AI strategy doesn’t really mean much until you break it down to its core elements. To do that, RapidMiner has brought in guest speaker Mike Gualtieri, Vice President and Principal Analyst at Forrester Research, one of the most practical thinkers in AI strategy to help us dissect the topic.
We’ll break AI strategy down into 5 core elements so that you can turn this buzzword into a practical business plan.
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