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.

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ABOUT THE TALK As machine learning models are becoming more common in production, organizations are recognizing the significance of continuous validation, and are integrating automated testing into their CI/CD pipelines to ensure that their models remain relevant and are trustworthy. However, with constantly changing data and black-box logic, testing these models can be a daunting task.

In this talk, we explore the common pitfalls of ML models and best practices for testing them. We demonstrate how to use the deepchecks open source package to validate models and data during the research and CI/CD phases.

ABOUT THE SPEAKER Shir Chorev is the co-founder and CTO of Deepchecks, an MLOps startup for continuous validation of ML models and data. Previously, Shir worked at the Prime Minister’s Office and at Unit 8200, conducting and leading research in various Machine Learning and Cybersecurity related challenges.

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.

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A vast amount of time series datasets are organized into structures with different levels or hierarchies of aggregation.

In this talk, we introduce the open-source Hierarchical Forecast library, which contains different reconciliation algorithms, preprocessed datasets, evaluation metrics, and a compiled set of statistical baseline models. This Python-based framework aims to bridge the gap between statistical modeling and Machine Learning in the time series field.

ABOUT THE SPEAKER: Max Mergenthaler is the CEO and Co-Founder of Nixtla, a time-series research and deployment startup. He is also a seasoned entrepreneur with a proven track record as the founder of multiple technology startups. With a decade of experience in the ML industry, he has extensive expertise in building and leading international data teams. Max has also made notable contributions to the Data Science field through his co-authorship of papers on forecasting algorithms and decision theory.

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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: Data scientists build models of the real world using 1s and 0s. Model Railroaders build models of the real world using plastic and metal. In the end, they’re both models and Model Railroaders have been at it way longer than we DS have. Let’s look at parallel concepts like overfitting versus the 10 foot rule, synthetic data versus prototype freelancing, or assumptions versus modeler’s license and see what lessons from other realms of model building we can bring home to DS.

ABOUT THE SPEAKER Peter Lenz (he, him) is a Geographer and Data Scientist who combines a deep domain expertise in geoinformatics and economic geography with technical skills in programming, machine learning, NLP, among others. Peter is working to create 'Big Social Science'.

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.

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ABOUT THE TALK: The emergence of generative AI models such as GTP-3, DALL•E, and Stable Diffusion has the potential to fundamentally change knowledge and creative work. This talk highlight the ways generative AI can enhance products, accelerating workflows and unlocking creativity. It also discusses some of the technical challenges involved in building generative AI products, including prompt chaining, data privacy, learning from human and AI feedback, and AI-human interaction.

ABOUT THE SPEAKER: Tristan Zajonc is the co-founder and CEO of Continual, an ML delivery platform that provides lifecycle management for production machine learning. He was previously CTO for Machine Learning at Cloudera and co-founder of Sense, a data science platform acquired by Cloudera in 2016. He has spent over 10 years in the trenches of machine learning infrastructure and operations.

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: Shiny object syndrome draws us from technology to technology, technique to technique, and we forget that analytics is fundamentally not a technical profession. It is a domain in which excellence is predicated on one's ability to translate, consult, advise the business with data-driven intelligence. The engineering world has gone too far, and lost the spirit of business intelligence.

In this talk, we talk about how we can get it back.We define what a 10x analyst looks like, and spoiler alert: your query optimization ninjitsu doesn't make the cut.

ABOUT THE SPEAKER: Robert Yi is a Co-founder and Chief Product Officer at Hyperquery, a new kind of data notebook for teams. Previously, he spent time at Airbnb and Wayfair, working across a wide range of projects in data science, product analytics, and open-source.

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: In this talk, Felipe Hoffa and Daniel Myers present an honest take of their wildly different approaches to Developer Relations and how both have been critical in building Snowflake's world-class developer community and ecosystem from the ground up. Learn how they define DevRel KPIs & metrics and daily challenges they face and lessons learned along the way. You might even get inspired to become a Developer Advocate after understanding the different ways to engage with the Snowflake community and what's next for Snowflake Developer Relations.

ABOUT THE SPEAKERS: Felipe Hoffa is the Data Cloud Advocate at Snowflake. Previously he worked at Google, as a Developer Advocate on Data Analytics for BigQuery, after joining as a Software Engineer. He moved from Chile to San Francisco in 2011. His goal is to inspire developers and data scientists around the world to analyze and understand their data in ways they never could before.

Daniel Myers is in Developer Relations and previously held roles at different companies, including Google, Cisco, and Fujitsu. In addition, he led and founded multiple startups.

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: This session details how new AI regulations encourage bridging the gap toward Responsible AI. Learn the five principles laid down by the US’ AI Bill of Rights and find out how to become more admissible as per the new regulations. Discover how modern AI monitoring, explainability, compliance, and model fairness tools can help risk-proof and build market-friendly solutions to yield tangible business results.

ABOUT THE SPEAKER: Ayush Patel is the CEO and founder of Censius, an AI Observability platform that helps to improve AI models' real-world performance. Prior to Censius, he worked at top organizations such as PayPal and Yahoo across management and engineering positions. Ayush is a strong advocate of Responsible AI. He is now focused on helping businesses scale by solving complex challenges in AI development and incorporating AI models into production successfully.

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 Apache Calcite has extended SQL to support metrics (which we call ‘measures’), filter context, and analytic expressions. With these concepts you can define data models (which we call Analytic Views) that contain metrics, use them in queries, and define new metrics in queries.

This talk, hosted by the original developer of Apache Calcite describes the SQL syntax extensions for metrics, and how to use them for cross-dimensional calculations such as period-over-period, percent-of-total, non-additive and semi-additive measures. It details how we got around fundamental limitations in SQL semantics, and approaches for optimizing queries that use metrics.

ABOUT THE SPEAKER Julian Hyde is the original developer of Apache Calcite, an open source framework for building data management systems, and Morel, a functional query language. Previously he created Mondrian, an analytics engine, and SQLstream, an engine for continuous queries. He is a staff engineer at Google, where he works on Looker and BigQuery.

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: The most innovative companies have learned to leverage their data platform as a competitive advantage in all facets of business. Teams are supplied with the data they need with high confidence to solve problems and meet their stakeholders' needs. Sound like the holy grail?

Learn what processes, platforms, and personnel are needed to transform your data culture from centralized ad-hoc analysis to self-service, proactive insights, and universally loved features.

ABOUT THE SPEAKER: DeVaris Brown is the CEO and co-founder of Meroxa, a data application platform as a service that enables engineers to solve problems that leverage streaming data with code. Before founding Meroxa, DeVaris was a product leader at Twitter, Heroku, VSCO, and Zendesk.

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 Global spend on AI continues to explode, even during the current economic climate, as C-Suite and senior executives realize the importance AI has and will have on their business models. Despite these massive investments, enterprises are challenged to show ROI from their AI initiatives due to complexity and lack of business adoption.

Gaurav Rao will share his perspective on market trends in machine learning and AI as well as the challenges current enterprises face to deliver business value from data-centric AI. While business users and developers work in separate environments with separate tools, Gaurav covers how to effectively bridge AI with business decision makers, the capabilities required, and example of doing this with a universal semantic layer.

ABOUT THE SPEAKER: Gaurav Rao is the Executive Vice President and General Manager of Machine Learning and AI at AtScale. He is responsible for defining and leading the business that extends the company’s semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications.

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: It's been a decade since the Harvard Business Review (HBR) article Data Scientist the Sexiest Job of the 21st Century. It's one of the 100 most downloaded articles in the history of HBR and shows how far we've come in a decade. From building companies to the White House, to leading the COVID response, DJ Patil shares key lessons he wishes he knew a decade ago.

ABOUT THE SPEAKER: DJ Patil is an entrepreneur, investor, scientist, and leader in public policy. He is the former U.S. Chief Data Scientist. He has held senior roles in industry, academia, and government and his work has been featured in two Michael Lewis books (The Fifth Risk and Premonition). As a General Partner at GreatPoint Ventures he focuses on building companies in healthcare, enterprise technologies, and national security.

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: Regular, metrics-focused business review meetings are a common practice in all types of companies, and getting an effective one up and running is a common task for new data leaders. There are many blog posts describing what an ideal end state looks like, but few discussions of building up to that state from an MVP version. In this talk, Katie Bauer shares about how her team built their executive metrics review process at GlossGenius, where it is today, and where they would like to take it next.

ABOUT THE SPEAKER: Katie Bauer is a data leader who focuses on delivering actionable analysis, scalable data infrastructure, and building strong stakeholder relationships. She is currently Head of Data at GlossGenius and has previously led and built data teams at Reddit and Twitter.

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: Do you want to expand your reach, gain credibility, and enhance the value of an open-source product & community? Whether you’re building a community around your own product or are an individual contributor looking for ways to contribute to your favorite OSS project, it’s time to focus on cross-community partnerships!

In this talk, Kyle Eaton and Maggie Hays detail the core tenants of an effective partnership, including effective co-product development & marketing, leveraging expertise within your community, measuring success, and pitfalls to avoid. Learn what makes for an effective partnership and a roadmap for getting started.

ABOUT THE SPEAKERS: Kyle Eaton is the Growth Lead at Great Expectations. While at Great Expectations, Kyle scaled the Great Expectations community from 0 to 9000+ Slack users, pioneered the Developer Relations team, and led the initiative for data ecosystem partnerships. Prior to Great Expectations, Kyle has played the role of Lead UX Designer in health care, finance, and travel for just nearly a decade.

Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions.

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: Pete Soderling welcomes several investors from top firms Founders Fund, Sequoia and Bain Capital Ventures to discuss their thoughts on investing in both data infrastructure and AI. They discuss the latest trends in investing in data/ML/AI companies, what they look for in early stage engineering-led teams and what they're most excited about for the future.

ABOUT THE SPEAKERS Moderator: Pete Soderling is the founder of Data Council and Zero Prime Ventures (formerly Data Community Fund).

Leigh Marie Braswell is a principal at Founders Fund focused on data & ML infrastructure and applications. Before joining Founders Fund, she was an early engineer & the first product manager at Scale AI, where she originally built and later led product development for the LiDAR/3D annotation products, used by many autonomous vehicles, robots, and AR/VR companies as a core step in their machine learning lifecycles.

Lauren Reeder is a Partner at Sequoia, where she focuses on data, infrastructure, and climate tech. She works closely with several Sequoia companies, including Statsig, Census, and Deno. Previously, Lauren served as Director of Product at Segment. She started her career in software engineering and did some early-stage investing on the side for a number of years before joining Sequoia.

Slater Stich is a Partner at Bain Capital Ventures. He was previously the founder of Activation Fund and Principal at Valor Equity Partners. At Bain Capital, Slater partners with early-stage founders in infrastructure, with a focus on tools for data teams.

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: While we will never replace human to human interaction for crisis intervention, there are plenty of opportunities to build intelligence with AI/ML models that crisis responders could greatly benefit from.

In this talk Maddie Schults and Mateo Garcia introduce their conversation simulator, a tool that we built leveraging openAI's API that allows them to train crisis responders on how to support people in crisis with close to real life situations and can help reduce anxiety for new crisis responders as they log on the platform for the first time.

ABOUT THE SPEAKERS: Maddie Schults is the General Manager at Crisis Text Line. She is a product leader and technologist with over 20 years of experience envisioning, building and launching enterprise software products. At Crisis Text Line, Maddie is responsible for building the Global Product for crisis care intervention and its adoption globally in different countries and languages.

Mateo Garcia is Lead Data Scientist at Crisis Text Line, where he oversees all the Analytics & Data Science efforts. He is a data leader with +7 industry experience scaling data teams from the ground up and building data products at different start-ups and consulting firms.

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: Dashboards sit at the end of a long chain of ever-changing data dependencies. And, it is a very visual process – it is hard to tell if a dashboard is correct without an end user looking at the rendered result. This all adds up to a development process that can be slow and error-prone.

“DataOps” is a new set of code-based patterns and practices that aim to address these challenges. In this talk, Dan Eisenberg does a deep dive on these approaches and demonstrate some ways to integrate DataOps into the BI development lifecycle at Glean.

ABOUT THE SPEAKER: Dan Eisenberg is the VP of Technology at Glean.io, a platform for data visualization and collaboration. Prior to Glean, he was a Senior Director of Engineering at Flatiron Health, where his teams designed and built systems for abstracting data from unstructured medical records at scale.

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: Wesley Faulkner explores the various types of communities and discusses how to determine the most suitable one for your company at various stages of growth. Whether you are looking to double down on your current community or expand to new platforms, Wesley provides the guidance you'll need to make informed decisions about building a strong and effective community.

ABOUT THE SPEAKER: Wesley Faulkner is a first-generation American, public speaker, and podcaster. He is a founding member of the government transparency group Open Austin and a staunch supporter of racial justice, workplace equity, and neurodiversity. His professional experience spans technology from AMD, Atlassian, Dell, IBM, and MongoDB.

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/