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Register here for our virtual panel: https://www.h2o.ai/h2o-live-january-19/?utm_medium=Webinar&utm_source=meetup&utm_campaign=
Core business processes in today’s digital world rely on documents and unstructured or semi-structured data that contain valuable information critical to business operations.
Without AI technology, the documents must be reviewed by people multiple times to determine the document type, which patient it pertains to, and what specifically must be done to further process or respond to the document’s contents.
Join us on Jan 19th to learn why The Center for Digital Health Innovation (CDHI) at the University of California, San Francisco (UCSF) partnered with H2O.ai and selected H2O Document AI to automate workflows, resulting in a significant reduction in administrative costs. Better data upfront means better decisions downstream resulting in improved patient care and outcomes.
Sri Ambati, Founder & CEO H2O.ai
Bob Rogers, Expert in Residence for AI at UCSF Center for Digital Health
Lu Chen, Lead Data Scientist at UCSF CDHI
Prashant Natarajan, VP Products & Strategy H2O.ai
Register here: https://www.bigmarker.com/bigdata-toronto/Big-Data-AI-Toronto-Follow-Up-Series?utm_bmcr_source=h2o
H2O.AI invites you to join us January 20 at 12PM EST for a webinar with Big Data & AI Toronto. Developing a modern AI application that can consume predictive models is one of the most time-consuming tasks in the data science lifecycle, yet many models never reach production. Join this webinar to learn how H2O.AI is making it possible for organizations to reduce the amount of time and resources involved in developing AI applications.
Speaker: Asghar Ghorbani, Lead Solutions Engineer EMEA
Asghar is currently a lead data scientist at H2O.ai. He has 6+ years of experience developing solutions to solve complex data science problems. In his career, Asghar has helped enable organizations in a broad spectrum of industries (including banking, fintech, insurance, manufacturing, and logistics) to implement machine learning solutions in high-ROI use-cases. Previously, Asghar held research and scientist roles at the National Metrology Institute of Germany and the Technical University in Munich.