The world of big data analytics, machine learning and AI is exploding at a pace that leaves many businesses unprepared.

 

The advantage of byte-sized learning is the opportunity to test new solutions to existing business use cases in a fail-fast prototyping environment.

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Nobody has time to reinvent every modern analytics tool from scratch. But grafting an off the shelf tool onto an established tech stack can often uncover latent surprises that the vendor's proof of concepts could not be expected to cater for.

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The use of prototypes helps to strike a pragmatic balance to arm procurement leads with the right questions to ask early on in the decision process. This is a powerful way to make a clear distinction between what we are buying and what is left to develop.

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