What is needed to make AI actually work on Enterprise Scale? In this episode of Tech Talks Daily, I am accompanied by Ryan Steelberg, CEO of Veritone, to unpack the very real challenges and opportunities associated with bringing artificial intelligence in complex industries such as media, law enforcement and government.
Ryan built AI solutions long before it became Headline News. He was co-founder of Veriton in 2014 with a mission to solve the unstructured data problem. Think of audio, video and other media that do not fit neatly in rows and columns. Now Veritone is not just talking about AI. It feeds more than 3,000 customers in sectors with real applications that drive measurable ROI.
We come up with what it means to work with unstructured data on a scale and how Veriton processed more than 58 million hours of media in 2024 alone. Ryan explains why traditional companies are struggling to operationalize AI and how Veritone has evolved from a platform company to a maker of end user applications designed for impact. This includes ad -optimization for ESPN and video editor for law enforcement.
What is especially mandatory is the growing footprint of Veriton in sectors with high barrier such as federal defense and law enforcement. Ryan tells what was needed to become an excellent contractor for the US Air Force and Defense logistics agency, how Veriton has adapted its pile for safe implementations, and why the key to adoption in these sectors is not only technology. It is trust and proximity of mission -critical results.
We also discuss the push of the company in the Global Training Data Market of $ 17 billion via the Veritone Data Repository. Ryan shares why VDR quickly gets a grip and how it positions the company as an important partner for the next generation AI models.
This is not a story of hype or futuristic promises. It is a grounded look at what is really needed to scale AI in some of the most demanding Enterprise environments. Whether you are deep in the AI world or still find out where your company fits, Ryan’s perspective is fair, strategic and full of lessons that you can now apply.
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