Published: 11 January 2024
Customer education, regulatory issues and data scarcity emerged as top challenges for AI service organizations to overcome. Product leaders must focus on improving the accuracy of their AI models and communicating the business value in terms of KPIs to drive adoption.
Customer education emerged as one of the biggest go-to-market challenges for the adoption of AI services. The challenge stems from customers’ hesitation and lack of trust in the technology as well as the implications of certain technologies like emotion AI.
Customers’ lack of proper digital infrastructure to capture quality data results in increased initial investment, delayed deployments and inaccurate AI models.
AI service providers with generative AI (GenAI) offerings oftenstruggle to create technological differentiation as they provide similar offerings to their competitors.
Product and services leaders planning to accelerate AI adoption should:
Improve market reputation and gain customer trust by
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