Category: AI and ML
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AI in Cybersecurity: Fighting Back in Milliseconds
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: How Autonomous Security Agents Are Changing Threat Response from Reactive to Proactive Generative AI and agents are being touted as the most significant leap in productivity since the advent of the computer. However, here’s a twist: they also make bad guys more productive,…
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Small Players, Big Challenges: How SMEs Can Handle Supply Chain Complexity
This article is written in collaboration with Brett Sandman. Introduction The Toy Association recently surveyed 400+ member companies and made an alarming discovery. Nearly 50% of small and midsize toy firms could be forced out of business quickly due to supply chain pressures. While the survey focused on toy makers, it isn’t just a toy…
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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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The Death of Just-in-Time: Why Resilience Beats Efficiency
This article is co-authored by Brett Sandman. Introduction The COVID-19 pandemic, geopolitical instability, and natural disasters exposed the fragility of just-in-time supply chains once revered for their precision and efficiency. As borders closed and suppliers failed, even the most sophisticated networks proved unable to absorb disruption, revealing how efficiency without resilience can erase years of progress…
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The True Cost of AI Implementation: What Leaders Need to Know Before Investing (Part II)
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: Beyond the Hype – Understanding Real AI Costs By now, most leaders understand the basic economics of AI, the data costs, the compute demands, the talent shortages. What they’re realizing next is that the hardest part isn’t buying AI, it’s choosing the right…
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The True Cost of AI Implementation: What Leaders Need to Know Before Investing (Part I)
This Executive Impact Series article is a collaboration with Anush Naghshineh and David Turner. Introduction: Beyond the Hype – Understanding Real AI Costs Every leader today feels the same pressure: “We need an AI strategy.” But too many are learning the hard way that AI strategy without cost reality is just wishful thinking. Over the past two years,…
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Only read this if you have not met your required daily intake of scary news…
Are you sitting down? I hope so, ’cause Anthropic just shared some pretty eye-popping findings. In research they conducted with the UK AI Security Institute and the Alan Turing Institute, they found that slipping in as few as 250 malicious documents into LLM training can create an exploitable backdoor within the model. This results in…
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Why Your AI Chatbot Keeps Changing Its Answers
You may have noticed that sometimes, when you give your AI bot a prompt you have used before, the answer it returns is different. This is one of the primary issues that most LLMs are prone to. At their core, these models are non-deterministic. The answers returned are derived from what it calculated was the…
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How Predictive Maintenance Is Quietly Revolutionizing Logistics
This article is co-authored by Brett Sandman. Introduction The logistics industry is undergoing a sea change, as companies transition from traditional “fix it when it breaks” approaches to a more proactive approach. Maersk serves as a great example. Their predictive maintenance program has reduced their vessel downtime by 30% and saved them more than $300…
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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…