Wes is a machine learning expert with over a decade of experience delivering business value with AI. Wes’s experience spans multiple industries, but always with an MLOps focus. His recent areas of focus and interest are graphs, distributed computing, and scalable feature engineering pipelines.
Amber Roberts is a ML Growth Lead at Arize AI, a ML observability company built for maintaining models in production. Previously, Amber was a product manager of AI at Splunk and the Head of Artificial Intelligence at Insight Data Science. A Carnegie Fellow, Amber has an MS in Astrophysics from the Universidad de Chile.
Emmanuel Turlay is the founder and CEO of Sematic, an open-source ML infrastructure company. Emmanuel started his career in academia researching particle physics at CERN, before branching out into tech and moving to the US in 2014. He led engineering teams at Instacart, and then Cruise, where he led the ML Infrastructure team for four years. In 2022, Emmanuel founded Sematic to bring learnings from building ML infrastructure for robotaxis to the rest of the industry in an open-source manner.
Doris Lee is the CEO and co-founder of Ponder (https://ponder.io/). Doris received her Ph.D. from the UC Berkeley RISE Lab and School of Information in 2021, where she developed tools that help data scientists explore and understand their data. She is the recipient of Forbes 30 under 30 for Enterprise Technology in 2023.
Oliver Zeigermann has been developing software with different approaches and programming languages for more than 3 decades. In the past decade, he has been focusing on Machine Learning and its interactions with humans.
MLOps: Monitoring and Managing Drift(Training)
Anna Jung is a Senior ML Open Source Engineer at VMware, leading the open source team as part of the VMware AI Labs. She currently contributes to various upstream ML-related open source projects focusing on the project’s overall health, adoption, and innovation. She believes in the importance of giving back to the community and is passionate about increasing diversity in open source. When away from the keyboard, Anna is often at film festivals supporting independent filmmakers.
Data scientists moving beyond model experimentation looking to understand production workflow
Data scientists seeking to improve the overall practice of management and development
Anyone interested in understanding better collaborative and agile management techniques as applied to data science
Business professionals and industry experts looking to understand data science in practice
Software engineers and technologists who need to work with data science workflows and understand the unique requirements of these systems
CTO, CDS, and other managerial roles that require a bigger picture view of data science
Technologists in the field of DevOps, databases, project management and others looking to break into data science
Students and academics looking for more practical applied training in data science tools and techniques
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