ABOUT THE TALK: Building and curating representative datasets is crucial for accurate ML systems. Monitoring metrics post-deployment helps improve the model. Unstructured language models may face data shifts, leading to unpredictable inferences. Open-source APIs and annotation tools streamline annotation and reduce analyst workload.

This talk discusses generating datasets and real-time precision/recall splits to detect data shifts, prioritize data collection, and retrain models.

ABOUT THE SPEAKER: Ivan Aguilar is a data scientist at Teleskope focused on building scalable models for detecting PII/PHI/Secrets and other compliance related entities within customers' clouds. Prior to joining Teleskope, Ivan was a ML Engineer at Forge.AI, a Boston based shop working on information extraction, content extraction, and other NLP related tasks.

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: 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: D. Sivakumar discusses the evolving -- and immensely powerful -- role that generative AI methods, especially in NLP and Vision, play in Search, broadly construed. Through a number of anecdotes and organizing principles, he highlights a handful of key challenges and promising directions.

ABOUT THE SPEAKER: D. Sivakumar (Siva) is co-founder and CEO of Tonita.co, whose mission is to bring fluent natural-language search to every search box on the Web. Prior to founding Tonita in 2021, he worked in the research organizations at Google, Yahoo!, and IBM. His research has spanned algorithms and complexity, web search, and deep learning.

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: One in five kids has a mental or behavioral disorder, but only 15% have access to care, and the current supply of trained therapists barely covers that demand. Happypillar is a digital therapeutic app that provides evidence-proven behavioral intervention to all at scale. Learn how we combine ML, ASR, NLP, and other technologies with the expertise of our founding clinical play therapist to offer accurate and real-time personalized feedback, all with compliant security processes and the strictest privacy controls.

ABOUT THE SPEAKER: Mady Mantha is a Product and ML Engineering Leader and the Co-Founder & CTO at Happypillar. As a Director of Conversational AI at Sirius, Mady led the team that built Walmart’s conversational AI.

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: Mbue uses advanced computer vision and NLP technologies to read and understand architectural and technical drawings, catch flaws and other mistakes that cause delays and costly fixes, and ultimately automate the quality control process. Learn how they approach this complex problem, what they are doing to solve it, and where we're going next.

ABOUT THE SPEAKERS: Jean-Pierre Trou is the CEO and co-founder of mbue, a SaaS AI-First company focused on saving time, money and reducing liability for Architecture, Engineering and Construction (AEC) companies with automated quality control tools. mbue's web-based application utilizes Artificial Intelligence to instantly review technical drawings. Think “autocorrect” for construction documents. Jean Pierre is also the Founding Principal of Runa Workshop, Architecture and Interior design firm, and Founding Partner at Vaast, a real estate company, all based in Austin, Texas.

Ron Green is a serial tech entrepreneur and expert in artificial intelligence. Ron is co-founder and CTO of mbue and also co-founded KUNGFU.AI, an AI consultancy that helps companies build and deploy AI and machine learning solutions. Prior to KUNGFU.AI, Ron was CEO and founder of Thrive Technologies (acquired by CLOUD), ran software development at Ziften Technologies, Powered (acquired by Dachis Group), and Visible Genetics (acquired by Bayer).

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: Quality ML at scale is only possible when we can reproduce a specific iteration of the ML experiment–and this is where data is key.

In this talk, you will learn how to use a data versioning engine to intuitively and easily version your ML experiments and reproduce any specific iteration of the experiment.

This talk will demo through a live code example: -Creating a basic ML experimentation framework with lakeFS (on Jupyter notebook) -Reproducing ML components from a specific iteration of an experiment Building intuitive, zero-maintenance experiments infrastructure -All with common data engineering stacks & open source tooling.

ABOUT THE SPEAKER: Vino Duraisamy is a developer advocate at lakeFS, an open-source platform that delivers git-like experience to object store based data lakes. She has previously worked at NetApp (on data management applications for NetApp data centers), on data teams of Nike and Apple, where she worked mainly on batch processing workloads as a data engineer, built custom NLP models as an ML engineer and even touched upon MLOps a bit for model deployments.

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/