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The nature of inhibitors to adoption has changed significantly in the last one year. In 2019, the challenges were more technical in nature (e.g. inability to explain the model or lack of availability of data and in-house skills). In 2020, the greatest inhibitor to AI adoption is not technical capabilities but measuring the business value or ROI from AI initiatives and selection of appropriate AI use cases.
The shift in the nature of inhibitors from technical to business is natural as organisations who were primarily focusing on pilots and proofs of concept (PoCs) are now attempting to scale up these solutions at the enterprise level. The change in the nature of inhibitors clearly signals an improvement in the maturity and willingness of organisations in terms of adopting AI as a tool for achieving business outcomes.