AI That Never Learns Many people fear having AI train on their data because they don’t want to lose proprietary data in public LLMs. So they say, “I don’t want AI training on my data.” But that’s exactly what they want—they just don’t realize what they’re saying. What they mean is they don’t want to give up …
by Scott King 
Businesses operate in intricate environments where human expertise, legacy systems, and AI must work together to drive results. Deploying AI in isolation leads to inefficiencies, forcing employees to handle gaps between technology and operations. The solution lies in agentic platforms integrating AI into automated workflows across enterprise systems, enabling faster, smarter decision-making. AI alone cannot …
by Scott King 
The Hidden Power of Your Meetings It’s Monday, and your inbox is clogged with meeting summaries—Zoom calls, Teams updates, customer huddles. Your team records everything, but the data scatters across silos, leaving action items untracked and insights buried. For operations executives, this is a familiar frustration. Recording tools capture discussions, yet their potential stays locked …
by Scott King 
When Anthropic introduced the Model Context Protocol (MCP) in November 2024, it triggered a wave of hype. YouTube videos, blogs, and tweet threads all chimed in to say: this is the future of AI integration. And in many ways, it is. But in our latest conversation, I wanted to step beyond the hype and ask: What …
by Scott King 
The Sticker Shock of OpenAI’s AI Agents OpenAI recently announced that its specialized AI agents could cost $2,000 to $20,000 per month.¹ For businesses eager to adopt AI, this triggers immediate sticker shock. Spending up to a quarter-million dollars per year for a single AI agent seems excessive—especially when today’s AI still struggles with basic reasoning tasks. Naturally, many …
by Scott King 
Why AI Agents Are Like Teenagers and What That Means for Your Business The AI world is buzzing about “agents”—autonomous digital helpers that promise to operate across systems, orchestrate complex tasks, and deliver business outcomes with minimal supervision. Many agent demos showcase impressive capabilities, with AI agents navigating websites, filling out forms, processing documents, and handling …
by Scott King 
Later this month, our team is heading to Las Vegas for the Channel Partners Conference & Expo (March 24-27, 2025, at The Venetian Resort)—the world’s largest independent channel event. Why? The buzz around AI agents. The excitement is impossible to ignore, but amid the hype lies a challenge: AI agents are multiplying fast, and businesses …
by Scott King 
AI agents become more integrated into enterprise operations, the conversation around data security and privacy is shifting. Enterprises are moving beyond basic concerns about large language models (LLMs) and data leakage—now, they’re asking deeper questions about AI agents running autonomously within their systems. How secure are these agents? Do they introduce new risks, or can …
by Scott King 
“You Don’t Have the Flexibility to Hot Swap” On a recent episode of The All-In Podcast, Chamath Palihapitiya and David Friedberg discussed a major challenge facing companies adopting Large Language Models (LLMs): the inability to swap out models as technology advances. David Friedberg asked where technology companies or investors should start in order to take …
by Scott King 
The market is exploding with AI-powered automation tools and bots, known as “AI agents.” These agents streamline business tasks and reduce manual effort. However, the overwhelming volume of options—hundreds of agents targeting various tasks—creates a new challenge: navigating this crowded ecosystem to deploy AI effectively and avoid creating new problems that confuse employees and add to technical …
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