There are very few people like Stephen Brobst, a legendary tech CTO and "certified data geek," Stephen shares his incredible journey, from his early days in computational physics and building real-time trading systems on Wall Street to becoming the CTO for Teradata and now Ab Initio Software. Stephen provides a masterclass on the evolution of data architecture, tracing the macro trends from early decision support systems to "active data warehousing" and the rise of AI/ML (formerly known as data mining). He dives deep into why metadata-driven architecture is critical for the future and how AI, large language models, and real-time sensor technology will fundamentally reshape industries and eliminate the dashboard as we know it. We also chat about something way cooler, as Stephen discusses his three passions: travel, music, and teaching. He reveals his personal rule of never staying in the same city for more than five consecutive days since 1993 and how he manages a life of constant motion. From his early days DJing punk rock and seeing the Sex Pistols' last concert to his minimalist travel philosophy and ever-growing bucket list, Stephen offers a unique perspective on living a life rich with experience over material possessions. Finally, he offers invaluable advice for the next generation on navigating careers in an AI-driven world and living life to the fullest.
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Stephen Brobst
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Stephen is the CTO for Ab Initio Software. He performed his graduate work in computer science at MIT where his Masters and PhD research focused on high-performance parallel processing. He has dozens of patents and hundreds of publications in the areas of data management and machine learning. Stephen is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996. In 2014, at the height of the Big Data phenomenon, he was ranked by ExecRank as the #4 CTO in the USA (behind the CTOs from Amazon.com, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.
Bio from: The Joe Reis Show
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Stephen Brobst, CTO at Ab Initio and top-rated speaker from last year returns. The fourth industrial revolution is fueled by AI and data. This talk will describe how to create and consume data products that use Generative AI, including the anatomy of data as a product in support of corporate AI initiatives. Empowering knowledge worker access to data is an essential capability of a modern enterprise. Robust metadata and a framework for Minimum Viable Governance (MVG) is at the heart of trusted AI. The use of natural language interfaces for interrogating data products will also be discussed.
The fourth industrial revolution is fueled by AI and data. This talk will describe how to create and consume data products leveraging capabilities of Generative AI. Empowering knowledge workers with self-service access to data is an essential capability of a modern enterprise. Robust metadata and a framework for Minimum Viable Governance (MVG) is at the heart of trusted AI. The use of Generative AI to automate creation of data products will be discussed along with critical techniques to ensure integrity of the data product design. The use of natural language interfaces for interrogating data products will also be discussed.
-Learn about the anatomy of data as a product in support of corporate AI initiatives.
-Learn about the concept of Minimum Viable Governance to drive the right balance between agility and governance.
-Learn how business users can be empowered to create data products through a scalable manufacturing process using Generative AI.
Alessandro Allini, Head of Data Governance at Crédit Agricole Italia, and Stephen Brobst, CTO at Ab Initio, discuss the revolutionary impact of shifting from treating “Data as an Asset” to “Data as a Product”. You will gain insights on designing, manufacturing, and measuring data success with this approach. Alessandro will discuss the corporate journey toward Data Products that is empowering business knowledge workers with self-service capabilities and optimized data design for seamless consumption. Stephen will reveal how AI co-pilots accelerate data product creation and drive innovation.