Hyperscience, Rossum & AI2Z - Why they won Deep Analysis Awards

The twenty-first episode of the podcast you know and love as "We Love Ugly Data!" is out. It's available in audio form everywhere you get your podcasts from and additionally in video form via YouTube (which we've embedded below). This time, the format is different, as Alan and Dan join Matt to discuss the five winners of this year's Deep Analysis Innovation Awards.In this month's special episode:Winner: HyperscienceFirst up, Dan talks about Hyperscience and its Hypercell for GenAI, which helps organizations process large volumes of data ready for use in GenAI applications. Winner: ai12zNext, Matt outlines why AI12z is among this year's winners. Their approach to generative AI enables not only mid-market customers but also the systems integrators that service them to deliver AI assistants and agents.Winner: RossumDan's back to introduce Rossum's award and discuss its T-LLM (Transactional LLM) model, which it built from millions of transactional business documents.Winner: ComposableMatt introduces Composable as the next award winner, explaining how the company focuses on organizations that have outgrown the available tooling for their AI application development and need Composable's help managing the plethora of models and inference suppliers that those heavily invested in developing GenAI applications in-house need to work with.Winner: UiPathFinally, Dan explains why UiPath won this year's awards for its DocPath and CommPath AI models, which were launched earlier this year. https://www.youtube.com/watch?v=nT0RtYNIFGQ Show notes for Series 3, Episode 11.Innovations Awards Related Links!Download the full Innovation Awards report.Support the show