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Torsten Steinbach

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VP, Chief Architect Analytics, ML & AI - EDB

Torsten Steinbach is the Chief Architect for Analytics and AI at EDB. He is uplifting Postgres towards a platform for analytics and AI workloads, augmenting and extending it with enterprise-level Data Lakehouse and AI functionality.

Torsten previously held senior positions in engineering of cloud, database and analytics technology. He has been a Distinguished Engineer at IBM and CTO for Big Data in Cloud. He has also been the lead architect for IBM's enterprise database performance tooling as well as in-database Data Science & Machine Learning, for instance via deep embedding of Apache Spark.

Torsten lives and breathes data and he is an experienced speaker in setting bold visions for database technology, data analytics, data science and AI and more in order to excite teams to pursue and deliver in complex endeavours.

Bio from: Big Data LDN 2024

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The massive interest in AI solutions has sparked a huge and pervasive wave of AI projects. We are now entering a second phase where the AI projects that have proven value are looking for operational landing places in enterprise environments. This is visible through the big hype for AI data systems like vector databases and feature stores. This phase of AI operationalizing is the hour of databases, which have proven already to be the battle-proof bedrock for data management enterprise environments. 

Postgres is naturally a front runner in this space. AI workloads are entirely tied to data, they start with data, they run on data and they produce data. Join this talk for a walkthrough on popular AI application flows, their strong ties to data and Postgres' strong operational qualities and demonstrate how they form the perfect environment for mission critical AI solutions in an enterprise.