ABOUT THE TALK: Building data tools requires us to not only think about the data team, but also about the people that the data team is serving: business users, or "non-data team people".

This talk will go over how it's super important to consider these two personas when building data tools, but it can also be a bit complicated. We will talk through a few principles we can use to build data products that are great for everyone (not just the data team!)

ABOUT THE SPEAKER: As a product manager with a background in data science, Katie Hindson loves building data products. Currently, she's working at Lightdash, an open-source BI tool that instantly turns your dbt project into a full-stack BI platform. Katie is really interested in the interaction between data teams, their tools, and the rest of the company - because the best data teams are the ones that can help everyone at the company make better decisions, faster.

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.

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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.

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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.

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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.

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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: This talk walks you through the structure of NumFOCUS, the programs, challenges, and vision for a sustainable, inclusive, and vibrant open source community. This talk will deep dive on sustainability endeavors, including diversity and inclusion, and how you can get involved in the NumFOCUS community.

ABOUT THE SPEAKER: Dr. Katrina Riehl is President of the Board of Directors at NumFOCUS, Head of the Streamlit Data Team at Snowflake, and Adjunct Lecturer at Georgetown University. For almost two decades, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she has helped lead data science efforts at the University of Texas Austin Applied Research Laboratory, Apple, HomeAway (now, Vrbo), and Cloudflare.

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: This talk discusses how Vercel leverages dozens of metrics created from one heterogenous table to drive business, technical, product, and operations decisions across the company. Vercel's approach has empowered technical and non-technical stakeholders to jump into their analytical discovery from the metrics table with more frequent iterations and less involvement from the data team.

Centralizing data and metadata used in creating Vercel's many metrics has increased the number of stakeholders that can participate in analytics, decreased the time needed to troubleshoot outlier events, and removed the data team as a dependency for all data-related tasks.

ABOUT THE SPEAKER: Thomas Mickley-Doyle leads analytics and data science initiatives at Vercel, scaling insights across engineering, product, and design. He focuses on making data modeling, analytics, and decision-making more accessible for all users.

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: Everyone wants to create new products with AI/ML inside, but you need to integrate your data scientists and data engineers into traditional development teams to do that. But what exactly do they do, and where in the process do they fit? Does their work entirely fall under software engineering, product, or something else? Are you even ready for AI/ML? Has anyone figured this out?

Data-scientist-turned-product person Noelle Saldana shares her observations and opinions on how companies should (and shouldn't) use their data people and her hot takes and tragic mistakes to do it the right way the first time.

ABOUT THE SPEAKER: Noelle Saldana has fifteen years of Data Science experience and is passionate about the value data brings to both products and decision-making. She has led Data Science initiatives at companies across multiple industry verticals, ranging from early startups to Fortune 500 enterprises. Her recent focus has been the intersection of product and data strategy; instrumenting data and eliminating data technical debt to enable robust Data Science and Product Analytics downstream.

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: Ever noticed the manifest.json file that dbt puts into your target folder? This little file contains rich information about your dbt project that enables numerous fun use cases! These include complex deployment configurations, quality enforcement, and streamlined development workflows. This talk will go over what the manifest is and how it is produced, along with case studies of how the manifest is used across the community and in Squarespace’s data pipelines.

ABOUT THE SPEAKER: Aaron Richter is a software developer with a passion for all things data. His work involves making sure data is clean and accessible, and that the tools to access it are at peak performance. Aaron is currently a data engineer at Squarespace, where he supports the company’s analytics platform. Previously, he built the data warehouse at Modernizing Medicine, and worked as a data science advocate at Saturn Cloud.

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: 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.

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ABOUT THE TALK: There has been an increasing interest in machine learning model interpretability and explainability. Researchers and ML practitioners have designed many explanation techniques such as explainable boosting machine, visual analytics, distillation, prototypes, saliency map, counterfactual, feature visualization, LIME, SHAP, interpretML, and TCAV. In this talk, Sophia Yang provides a high-level overview of the popular model explanation techniques.

ABOUT THE SPEAKER: Sophia Yang is a Senior Data Scientist and a Developer Advocate at Anaconda. She is passionate about the data science community and the Python open-source community. She is the author of multiple Python open-source libraries such as condastats, cranlogs, PyPowerUp, intake-stripe, and intake-salesforce.

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:
Our traditional testing and CI methods for Data Science are not working, but we can't just give up on providing guardrails.

As engineers, how do you solve ML testing?

In this talk, Emily Curtain discusses: - abstracting, decoupling, and separating concerns - keeping pytest only where it belongs - substituting testing for observability in appropriate places - applying data reliability practices and thereby solving some problems at the source - by honoring Data Scientists' mental models, and ways of working

ABOUT THE SPEAKER: Emily Curtin is a Staff MLOps Engineer at Intuit Mailchimp. She leads a crazy good team focused on helping Data Scientists do higher quality work faster and more intuitively.

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 Data Science, the small piece of code that you want to test also needs to take in data, training a model, or evaluating a model, but all of these steps are complicated and consist of many smaller units.

Learn from Dr. Nile Wilson her Software Engineering best practices for testing Data Science Code and some of the common scenarios for data, such as mocking calls or mocking data.

ABOUT THE SPEAKER: Dr. Nile Wilson is a Data Scientist 2 in Industry Solutions Engineering at Microsoft, focused on developing and implementing Machine Learning solutions for enterprise customers. She has worked with interdisciplinary teams across various industries to develop production-ready data science solutions to drive business impact.

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:

Statsig is a product observability platform that helps product teams move faster and make better decisions. Companies like Notion, Flipkart, Eventbrite, Ancestry, and Univision use it to release features, run experiments and measure impact.

In only two years, Statsig is supporting thousands of experiments across billions of users (unique company specific userIDs). In this session you will learn lessons on their company's growth.

ABOUT THE SPEAKER: Timothy Chan is an experienced data science professional, currently serving as the Data Science Lead at Statsig. Before joining Statsig, Timothy spent almost 5 years as a Data Scientist at Facebook (now Meta), where he was involved in projects across Facebook App and Reality Labs. His background includes working in biotech, researching treatments for diseases such as Alzheimer’s, Multiple Sclerosis, Lupus, and Cancer.

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