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Innovation at the Edges: An Action Catalyst Panel (AI, Technology, Security, Business)

·30 min·2 clips

Ed Salima reveals how AI now creates hilarious Bigfoot vlogs and realistic videos, showing technology's mind-boggling leap.

AI is no longer theoretical for this group. Ed Salima opens with models getting smarter, more complex, and better at harder tasks. The speed is the part that changes the conversation. OpenAI, Anthropic, and XAI come up as companies pushing more advanced models while new players crowd in. Then Chad Robomitch brings it down to earth. Curiosity helps, but implementation still needs process, testing, and a clear sense of where someone's expertise runs out. He says the handoff plainly: when he hits a wall, he brings in technical help because figuring things out alone does not cover everything he does not know. The panel keeps circling back to teams. Coaches notice one kind of friction. Salespeople, recruiting, team leads, client experience voices, operations staff, and technical people notice others. That mix keeps the work honest. A tool can look clever until someone checks the daily workflow and finds there is no real problem for it to solve. Licenses are the easy part, which is exactly why they are a bad starting point. Better to ask where people feel slowed down, what problems keep coming back, and where AI could take drag out of the work without adding fresh risk. Legal exposure stays in the room too, with GDPR, automatic recording, state-level implications, and cross-border concerns treated as issues to catch early. Vendor and integration risk also get airtime. Ed's vendor email about a third-party tool points to the messier reality: new tech usually has to live inside existing systems, vendors, and add-ons. The episode lands in a practical place. With open minds and careful judgment, AI can help spark ideas, edit content, and save time and money, but nobody gets to skip the roadblocks.

As heard by us

Practical AI adoption, tested where business work gets messy.

AI adoption is treated as an operations problem, not a novelty. Ed Salima and Chad Robomitch move from the speed of model change to the messier questions that matter in practice: who gets to test, where friction shows up, and how new tools land inside older systems.

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Why you'd press play

A practical AI panel for when you need rollout ideas, not hype.

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