Tag: #AIStrategy
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Agentic AI Governance: Building Trust and Controls in Autonomous Systems
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: Why You Must Have Oversight for Independent AI Systems Companies have been hearing the hype around AI. As a result, they are making the deployment of AI tools and agents a top priority and rushing to implement them. Unfortunately, research…
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Moving Beyond the Hype: Join the Growing Number of Companies Achieving Agentic Reality
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: AI Adoption, but Low Business Impact According to McKinsey’s latest research, nearly eight out of ten companies have rolled out generative AI in some form, but roughly that same percentage report absolutely no meaningful impact on their bottom line. Research…
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Good news? I’m hoping..
One of the most significant downsides to using generative AI is the fact that LLMs sometimes present hallucinations in their output. You’ve probably run into them many times. Essentially, they are incorrect answers that sound correct and confident. The answers are sometimes supported by either fabricated information or accurate information that is misused. Earlier this…
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AI ROI: How Business Leaders Are Measuring Success
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: Moving Beyond the AI Hype to Measurable Outcomes Business leaders are spending on artificial intelligence, but measuring returns on those investments remains tricky. Research by Ernst & Young found that even where senior leadership is bullish on AI and reporting…
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Moving AI from an Experiment to Business Impact
This article was co-written with Anush Naghshineh and Jenny Tsao. Introduction: Shifting From AI Experimentation to Meaningful Adoption Companies are facing a new reality with the advent of Generative AI. While 92% of businesses plan to significantly increase AI investments, only 1% currently have fully mature AI deployments. Even more surprising is that around 90%…