Published: 13 June 2024
Large AI service providers are struggling to differentiate their AI-based offerings in a crowded market. Product leaders must look beyond leading with technology prowess, and create programmatic approaches to drive customer success at scale or at the edge.
Lack of generative AI (GenAI) use cases with documented quantified business value, along with overinflated customer expectations of GenAI’s capability, make it difficult for product leaders to convert pipeline opportunities into implementations, beyond proof of concept.
AI resource constraints force product leaders to choose between various business approaches, like adopting AI internally, using prebuilt AI assets or pursuing high-value emerging use cases.
Product leaders offering services based on AI technologies should:
Prioritize use cases where business value is well-quantified or processes are mature by encouraging prospective customers to identify problems where AI’s business value can be easily measured before
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