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'New MIT study shows that while AI capabilities have surged, most organizations lack the data practices needed to turn those advances into business results, with only 2% reporting high AI performance.'
Matthew Fitzpatrick, CEO of Invisible Technologies, shares insights on combining human expertise and AI to scale automation, the importance of RLHF, and trends driving AI ROI in enterprises.
Most organizations struggle to scale Generative AI projects due to weak data governance. Strong data foundations and accountability are key to unlocking GenAI's true potential.
Enterprises are moving AI from experiments to strategic core, with data quality and governance as critical factors for successful AI implementation and business impact.