Panning for Gold in the Streams of Conversation
PyData Pittsburgh is excited to host Jay Palat, from mpathic, for our first event of the summer. Join us on Thursday, June 19th, as Jay will talk about how machine learning is used to process conversational data.
We'll be gathering at COhatch Waterfront, a beautiful coworking space at the Waterfront in Homestead. COhatch coworking space has graciously provided the event space for this Meetup. We know many of our PyData Pittsburgh members work hybrid or remotely. If you are interested in learning more about COhatch coworking spaces and would like a free one day trial, please sign up here.
We want to thank COhatch for investing in our PyData Pittsburgh community!
About the Talk
Billions of conversations happen every day, covering topics from the banal to the mission critical. Many of these conversations are ephemeral and retained only in memories, but more and more are collected in everything from YouTube transcripts to congressional minutes to ‘this call will be recorded for quality assurance’.
Find out how we use Python and machine learning to advance clinical accuracy and quality with AI-powered oversight to enhance patient safety, streamline workflows, and ensure compliance.
This session is for engineers and data scientists interested in extracting info from human conversation. We’ll look at the tools available to process conversations and tradeoffs involved. We’ll talk about the challenges we’ve found in capturing, analyzing and delivering insights for conversations and some of the ways we’ve solved them for our customers' needs. We’ll look at some of the tools and techniques available in the Python ecosystem starting with regular expressions and going all the way to large language models.
About the Speaker
Jay Palat is a seasoned technical leader with expertise in human-centered emerging technologies. His recent work includes working to build the discipline of AI Engineering for safety and mission critical AI systems as the Technical Director of AI for Mission at the CMU's Software Engineering Institute AI Division. Jay has built a career helping teams engineer good solutions that solve complex problems with companies like IBM, UPMC Enterprises, Rhiza and BCG. When he's not working or with his family, Jay's often walking the parks and streets of Pittsburgh.