ABOUT THE TALK: In this talk, we discuss cleanlab open-source (github.com/cleanlab/cleanlab) and Cleanlab Studio (https://cleanlab.ai/studio). Cleanlab open-source is a fast-growing python framework for data-centric AI that automatically detects issues in ML datasets. Cleanlab Studio is a no-code web interface used by universities and fortune 500 companies for dataset issue detection and fixing. Cleanlab algorithms have theoretical support for improved accuracy on real-world, messy data.

ABOUT THE SPEAKER: Curtis Northcutt is an American computer scientist and entrepreneur focusing on machine learning and AI to empower people. He is the CEO and co-founder of Cleanlab, an AI software company that improves machine learning model performance by automatically fixing data and label issues in real-world, messy datasets. Curtis completed his PhD at MIT where he invented Cleanlab’s algorithms for automatically finding and fixing label issues in any dataset.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

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ABOUT THE TALK: In this talk, Hamel Hussain discusses innovative approaches and tools for software development, their history, and future directions. He dives into the historical threads upon which these new approaches are built, talks about nbev, a popular open-source project that implements many of these ideas. He also shares learnings from building nbdev, along with challenges and future directions.

ABOUT THE SPEAKER: Hamel Hussain is an entreprenuer-in-residence at fast.ai, where he is building new software development tools like nbdev. Prior to fast.ai, Hamel was a machine learning engineer at companies like Airbnb, GitHub, and DataRobot, and other related roles in management consulting.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK: A thoughtful discussion between AI heavyweights on what to expect in this present age of AI. The moderator will draw on their own personal experience and insight to serve up some awesome queries (#wired).

ABOUT THE SPEAKERS: Gregory Larson is the VP of Engineering at Jasper. He joined the company to build out the organization and invest in making AI a part of every creative's workflow.

In past positions Greg was the head of engineering at Divvy Pay and ObservePoint, and he led development and AI projects at Adobe, Jive/LogMeIn, and Microsoft.

Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color

Barry McCardel is the CEO and co-founder of Hex. In past positions Barry has worked at TrialSpark and Palantir Technologies.

George Mathew is the Managing Director at Insight Partners focused on venture stage investments in AI, ML, Analytics, and Data companies as they are establishing product/market Fit.

He brings 20+ years of experience developing high-growth technology startups including most recently being CEO of Kespry.

Sean Owen is the Principal Specialist for Data Science and ML at Databricks.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK: What does it take to design successful products around AI capabilities? Achieving acceptable reliability is often not about model improvements and fine-tuning. A holistic approach to building AI-powered products requires thinking about how we elicit context from users, how we prompt the models, how we decide to measure the goodness of results, and how the interaction models we use weave intelligence into experiences.

GitHub Next is the birthplace of products like GitHub Copilot and is currently exploring the frontiers of AI assistance for the entire software development lifecycle. In this talk, Idan Gazit shares some practical learnings from experience building and shipping these prototypes and successful interactions with the broader business.

ABOUT THE SPEAKER: Idan Gazit is a Senior Director of Research at GitHub Next, leading the Developer Experiences team. He is a hybrid designer-developer, and can usually be found geeking out about the Web, data visualization, typography, and color. He lives in the East Bay with his family and surrounds himself with a rotating cast of half-finished projects.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

ABOUT THE TALK: With more and more demand for data pipelines and applications to go real-time it can get overwhelming. This talk demystifies the when, why, and how of moving from batch processing to real-time/stream processing. We will look at arguments for and against stream processing, common architectures, common pitfalls, and open source tools used.

ABOUT THE SPEAKER: Zander Matheson is the founder and CEO of Bytewax, an open source software company focused on enabling more developers to work with streaming data. Before starting Bytewax he worked on data infrastructure and data science at GitHub and Heroku.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/