Coinbase is neither simply a finance company nor a tech company — it’s a crypto company. This distinction has big implications for how we work with the Blockchain, Product and Financial data that we need to drive our hypergrowth. We’ve recently enabled a Lakehouse architecture based upon Databricks to unify these complex and varied data sets, to deliver a high performance, continuous ingestion framework at an unprecedented scale. We can now support both ETL and ML workloads on one platform to deliver innovative batch and streaming use cases, and democratize data much faster by enabling teams to use the tools of their choice, while greatly reducing end-to-end latency and simplifying maintenance and operations. In this keynote, we will share our journey to the Lakehouse, and some of the lessons learned as we built an open data architecture at scale.

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Day 2 Morning Keynote | Data + AI Summit 2022 Production Machine Learning | Patrick Wendell MLflow 2.0 | Kasey Uhlenhuth Revolutionizing agriculture with AI: Delivering smart industrial solutions built upon a Lakehouse architecture | Ganesh Jayaram Intuit’s Data Journey to the Lakehouse: Developing Smart, Personalized Financial Products for 100M+ Consumers & Small Businesses | Alon Amit and Manish Amde Workflows | Stacy Kerkela Delta Live Tables | Michael Armbrust AI and creativity, and building data products where there's no quantitative metric for success, such as in games, or web-scale search, or content discovery | Hilary Mason What to Know about Data Science and Machine Learning in 2022 | Peter Norvig Data-centric AI development: From Big Data to Good Data | Andrew Ng

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Intuit is the global technology platform that helps 100M consumers and small businesses overcome their most important financial challenges. In 2020-21, Intuit QuickBooks Capital facilitated more than $1.4B in loans to approximately 40,000 small businesses to help manage their cash flow through the pandemic, by harnessing the power of data and AI.

Pivotal to Intuit’s success is a lakehouse data architecture, catalyzed by the adoption of Databricks, for collecting, processing, and transforming petabytes of raw data into a unified mesh of high quality data. Altogether, enabling the company to accelerate delivery of awesome AI-driven personalized customer experiences at scale with products such as TurboTax, QuickBooks and Mint.

In this talk, Intuit’s AI+Data Vice President of Product, Alon Amit and Director of Engineering, Manish Amde, will provide insight into the company’s migration to a lakehouse architecture, highlight use cases to illustrate its value, and share lessons learned.

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In this keynote, you will learn more about Amgen's data platform journey from data warehouse to data lakehouse. They’’ll discuss our decision process and the challenges they faced with legacy architectures, and how they designed and implemented a sustaining platform strategy with Databricks Lakehouse, accelerating their ability to democratize data to thousands of users.
Today, Amgen has implemented 400+ data science and analytics projects covering use cases like clinical trial optimization, supply chain management and commercial sales reporting, with more to come as they complete their digital transformation and unlock the power of data across the company.

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Hear Ganesh Jayaram, CIO of John Deere, talk about how the company is leveraging big data and AI to deliver ‘smart’ industrial solutions that are revolutionizing agriculture, driving sustainability and ultimately helping to feed the world. The John Deere Data Factory that is built upon the Databricks Lakehouse Platform is at the core of this innovation. It ingests 8 petabytes of data and trillions of records to give data teams fast, reliable access to standardized data sets to deliver over 3000 ML and analytics use cases that democratize data across John Deere, to deliver a culture of empowerment where data is everybody's responsibility.

Visit the Data + AI Summit at https://databricks.com/dataaisummit/