AI Proof of Concept in 5 Steps
While AI algorithms have existed for many years, we have recently seen a rapid expansion in AI-based capabilities across the enterprise. With AI becoming more prevalent, it has also boosted infrastructure innovation. This has created huge opportunities for organizations looking to make smarter decisions and create smarter processes, delivering tangible business benefit. This starts with AI proof of concept. Read our five-step approach to success with proof of concepts for image recognition, natural language processing and predictive maintenance, including: Confirm the opportunity, characterize the problem and profile the data, architect and deploy the solution, evaluate for business value and scale up the PoC.