Agenda 2024 - Feature Store Summit

Beyond Feature Stores: Data for AI in Real-time, Batch, and LLMs

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Jim Dowling

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We will explore the journey from traditional Feature Stores to a more comprehensive framework that integrates these diverse data types.

From Feature Store to AI Lakehouse

Hopsworks introduces the AI Lakehouse - an extension to the Lakehouse with MLOps capabilities, real-time data support, LLMs and more.

Uber's GenAI Oncall Co-Pilot Journey

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Paarth Chothani

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Staff Software Engineer

Staff Software Engineer

Senior Software Engineer

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Uber

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Uber discusses how they built a GenAI Bot to boost on-call efficiency and minimize downtime.

Chronon, Airbnb's Gift to the Open Source Community

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Pengyu Hou

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Senior Software Engineer

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Airbnb

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Airbnb talks about Chronon - an open-source solution for ML practitioners, ensuring online-offline consistency.

Serving Real-Time Features at Etsy

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Prachi Poddar

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ML Engineering Manager

Senior Software Engineer

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Etsy

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Learn more about Etsy’s Rivulet, a real-time feature store, enhancing ML performance by ensuring feature freshness.

Shepherd: High-Scale, Low-Latency Machine Learning with Flink at Stripe

Stripe explores Shepherd's architecture: Flink, tiled data storage, and an automated control plane for faster feature development.

From Dearth to Discovery: Anomaly Detection using Generative AI

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Supriya Raman

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Senior VP, Data Engineering

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JPMorgan Chase

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JPMorgan discusses leveraging generative AI models for anomaly detection, crucial for early fraud detection and risk management.

The Snowflake Schema Data Model comes to Feature Stores

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Javier de la Rúa Martínez

Learn how Hopsworks now supports the Snowflake Schema Data Model, enabling more features via foreign keys in online tables.

Feature Store as a Service: How Intuit's Feature Store Service Boosts Developer Productivity on One Intuit Platform

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Harish Nagu Sana

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Staff Software Engineer

Discover Intuit's strategy for a millisecond-ready Feature Store, enabling developers to build faster, data-driven apps.

Immutable KV Store on Cassandra

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Chunhao Zhang

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Senior Software Engineer

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Uber

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Learn how Uber's Michelangelo team uses Cassandra for online prediction, its limitations, and how an immutable store offers a solution.

TurboML’s platform to leverage fresh data for ML

Learn how TurboML's platform overcomes the challenges posed by real-time data that enable fresher features, faster models and more.

Enabling Low Latency Fraud Detection with Real-Time Feature Engineering

Learn how to build real-time fraud detection pipelines with Quix Streams, a Python library, for faster, simpler feature computation.

Real-Time Fine-Tuning of Embedding Models for Improved Retrieval with Hopsworks and Bytewax

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Laura Funderburk

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Senior Developer Advocate

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Bytewax

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Learn to optimize continuous embedding models with Hopsworks and Bytewax for real-time improvements in content recommendation and more.

Large-Scale Embedding Feature Generation at Uber

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Dhruva Dixith Kurra

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Senior Machine Learning Engineer

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Uber

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Explore how Uber uses embeddings for ML systems, covering their lifecycle, from creation to deployment, and their impact on performance.

How Roche’s Data Platform accelerates Feature Engineering through Generative AI

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Vishakha Sharma

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Senior Principal Data Scientist

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Roche Diagnostics

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Discover how Roche’s data platform uses GenAI to transform feature engineering, enhancing healthcare analytics.

Fennel's Primitives for maintaining Data & Feature Quality

Learn seven key primitives from Fennel that ensure data and features are reliable and trustworthy for high-quality ML models.

Real-time Feature Serving for Online Inference

Learn how Chalk built its just-in-time online feature store to enable realistic ML use-cases and serve requests in under 5 milliseconds.

Banking on Features: Varo's Feature-Driven Approach to Smart Banking

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Andrew Hwang

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Staff Machine Learning Engineer

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Varo Bank

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Varo Bank uses its feature platform to embed data & ML in products, supporting traditional and innovative use cases for financial growth.

Wrap-up

Jim Dowling wraps up the event.

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More Information

Agenda

Beyond Feature Stores: Data for AI in Real-time, Batch, and LLMs

From Feature Store to AI Lakehouse

Uber's GenAI Oncall Co-Pilot Journey

Chronon, Airbnb's Gift to the Open Source Community

Serving Real-Time Features at Etsy

Shepherd: High-Scale, Low-Latency Machine Learning with Flink at Stripe

From Dearth to Discovery: Anomaly Detection using Generative AI

The Snowflake Schema Data Model comes to Feature Stores

Feature Store as a Service: How Intuit's Feature Store Service Boosts Developer Productivity on One Intuit Platform

Immutable KV Store on Cassandra

TurboML’s platform to leverage fresh data for ML

Enabling Low Latency Fraud Detection with Real-Time Feature Engineering

Real-Time Fine-Tuning of Embedding Models for Improved Retrieval with Hopsworks and Bytewax

Large-Scale Embedding Feature Generation at Uber

How Roche’s Data Platform accelerates Feature Engineering through Generative AI

Fennel's Primitives for maintaining Data & Feature Quality

Real-time Feature Serving for Online Inference

Banking on Features: Varo's Feature-Driven Approach to Smart Banking

Wrap-up

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