SOBRE ESTE EPISÓDIO
Justin has been with Valiant Technology since 2008 and is a member of our Leadership team. His extensive hands-on experience with technology, particularly Microsoft solutions, can be seen in every solution we implement for clients. An early interest in technology, spanning back as far as high school, has allowed Justin to accumulate a wealth of knowledge on many topics. His first technology-related role was at his Mother's web design company in the 1990's and he's worked with businesses of all sizes since, including web hosting companies and a military contractor.
Justin studied Cinema Studies and Political Science in college, but technology has always been a part of his life. His professional certifications include ones from Microsoft, SonicWall, and Meraki. Justin is also a certified Microsoft Customer Immersion Experience instructor and a certified Google Power Searcher.
When Justin isn't in front of an array of computer screens, he's typically behind his camera capturing photos of birds around the New York Tri-State area, enjoying German beers, and watching cartoons.
What you'll learn about in this episode:
- Why AI should be used as a tool, not a replacement, and where the line falls between work that should remain in the hands of humans, and where AI could be implemented.
- How the AI adoption curve mirrors the cloud revolution and why disruption isn't the technology itself, but the speed it's reaching users.
- The definition of agentic AI, including examples of building an AI agent that reviews your inbox every day so nothing slips through the cracks.
- How Valiant is currently using AI to reduce QBR prep time from 2 hours to 20 minutes, and why this type of automation is where real ROI lives.
- Why businesses should start with Copilot or Gemini before adopting third-party AI platforms.
- The MCP security risk most companies aren't talking about, and how AI tools through open-source Model Context Protocol servers can unintentionally create vulnerable, unprotected data layers.
- Why AI generated output should always be treated as a draft, and how stronger prompting comes from providing context, audience, format, and constraints upfront.
- Why the "AI will replace all jobs" narrative misses the bigger picture, and how AI frees people to focus on creative, strategic, and judgement-heavy work.
