BreezeML: Building AI Governance From the Ground Up | All You Need to Know About AI Governance - Part 6
Join us for an enlightening webinar on "BreezeML: Building AI Governance From the Ground Up"! In this session, we'll explore how organizations can automate AI and data governance using BreezeML. 🔎
Joining us this session are Ravi Netravali (CTO of BreezeML & Professor of Computer Science at Princeton University) and John Thorpe (VP of Product at BreezeML). 👏
This is the sixth and last session in BreezeML's "All You Need to Know About AI Governance" webinar series, a comprehensive crash course on AI governance that examines its principles and practical implementation, includes the perspectives of different practitioners involved (compliance officers, engineers, and auditors), and sheds light on associated issues such as AI safety and fairness/bias. 💡
Whether you're a legal eagle, an engineering whiz, or just AI-curious, this is the event for you. So mark your calendars and let's make learning about AI governance the highlight of your day! 🥳
Note: this session will be recorded and the recording will be sent out to all registered attendees after the event, so if you cannot make the live session but would like to view the recording, please make sure to register! ✅
Join our Slack group!
Want to learn and grow together with 150+ industry-leading AI founders, operators, and compliance/legal officers from Stanford, Harvard, MIT, Microsoft, Meta, and BreezeML who are passionate about AI governance? Join our AI governance Slack group here!
Being part of our Slack group is a great way to stay updated on future events on AI governance hosted by BreezeML and other organizations, the latest news on AI regulations and policies, and AI governance, risk, compliance (GRC) best practices, insights, and jobs.
Webinar agenda
intro to BreezeML
demo of BreezeML
Q&A with the live audience
To stay updated on future webinar sessions hosted by BreezeML, subscribe to our calendar here!
About BreezeML
BreezeML offers an AI governance platform that serves as a nexus between compliance/legal teams and data scientists. The platform employs an “AI governance from the ground up” methodology, enabling compliance teams to effortlessly specify and continually monitor governance policies over every AI workflow in their organization without relying on manual and tedious coordination with data science teams. By offering real-time guardrails during the development of a model, the reluctance from the data science team to incorporate compliance-related checks is reduced. BreezeML integrates with common MLOps tools and data stores to track end-to-end model provenance. It issues warnings upon detecting any risk of violating AI regulations, provides explanations and potential mitigation strategies, and supports instant audit reports that document both the history and current state of compliance.
For more information, please visit our website and contact info@breezeml.ai. To schedule a demo, please submit a request here.