While AI adoption surges, the gap between pilot projects and scalable/productized solutions remains significant: A 2024 McKinsey report reveals that while 72% of organizations have initiated AI projects, only 23% have successfully scaled them. Furthermore, Gartner predicts up to 85% of AI initiatives fail to deliver tangible business value.

Why is there a disconnect?

Successful AI deployment goes beyond data science and model selection. It demands a complete ecosystem of talent and strategic frameworks.

Companies are discovering that impactful AI requires:

• Strategic Product Owners who grasp AI's limitations and potential

• Robust Data Engineers who construct reliable data pipelines.

• Ethical AI Stewards who guide responsible and unbiased AI usage.

• Aligned Business Stakeholders who translate AI solutions into concrete business outcomes.

A mission to close the gap in AI Projects

At ExpertHub, we aim to close this critical talent gap, connecting enterprises with top-tier AI professionals and startups swiftly.

This post kicks off our series on AI Talent in the Enterprise, exploring pivotal roles, talent shortages, and the future of the implementation of AI.

We are also curious to know: What is the most pressing talent challenge your organization faces in building or scaling AI? Let us know at hello@joinexperthub.com or message us on LinkedIn!