AI is no longer a side experiment. It is quickly becoming a standard part of enterprise IT, both in how systems get built and how teams get work done. For CIOs, CTOs, and team leads, the hard part is figuring out which AI efforts will actually pay off without creating unnecessary risk for the company. In this session, you will get a practical way to pick the right first pilots, define success metrics that matter, and avoid the most common traps. Those traps include leaking sensitive data, getting unreliable output, having no clear owner, and running pilots that never turn into real ROI. We will talk about how AI tools fit into everyday team workflows, how to balance value and risk so you know where to start, and what guardrails to put in place from day one. That includes data boundaries, human oversight, auditability, evaluation, and safe fallback behavior. You will leave with a simple checklist and an action plan you can use right away to launch a secure, measurable AI pilot that your team can ship and your organization can scale.
Frank Greco is a long-time denizen of the local NY tech scene, a senior consultant and enterprise architect focusing on AI / Machine Learning, Cloud, and Mobile/Edge computing. More than just a conventional consultant, Frank is a long-time educator, a prolific writer, a developer community builder, a mentor, a proponent of DEI, and an expert on tech partnerships and innovations, especially in financial systems and enterprise computing.
Frank is the co-author of JSR #381 “VisRec”, a Java API for visual recognition and machine learning. He often shares his insights at top tech conferences worldwide, such as QCon, DevNexus, Dev2next, Jfokus, Devoxx, IDEA Conf, TechTran, and many others.
In addition, Frank is a recognized Java Champion and the founder/Chairman of NYJavaSIG, the world’s first and North America’s largest Java User Group. Frank authored and performed “Java Jam” with the band The Yield, the first song about Java, at The Bitter End in 1996.