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In episode #153 of Eye on AI, Craig Smith sits down with Ed Anuff, Chief Product Office at DataStax.
We take a deep dive into the world of vector databases and their integration with AI. Ed sheds light on the innovative ways AI is being incorporated into database technologies, with a special focus on the advancements and applications of Cassandra in this realm.
Ed elaborates on the challenges and opportunities in melding AI with database management systems. He talks about the evolving landscape of data storage and retrieval in the age of AI, and how these advancements are reshaping businesses and data strategies.
We also explore the broader implications of AI in database technology, including scalability, efficiency, and the future of AI-driven data solutions. Ed shares his insights on how companies like DataStax are at the forefront of this technological convergence, driving innovation and transformation in the industry.
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Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
(00:00) Preview, Celonis and Introduction
(02:19) Ed Anuff's Background and Journey to DataStax
(03:33) The Role of Cassandra in DataStax
(05:06) Understanding Cassandra: A NoSQL Database
(07:50) Impact of ChatGPT and Vector Databases in AI
(11:58) DataStax's Introduction of Vector Databases
(17:26) Addressing Data Accumulation and Usage
(22:18) Managing Data Expiration in DataStax
(29:24) Introducing AstraDB: DataStax's Cloud Product
(36:42) Business Growth and AI Integrations in DataStax
(42:18) Rate Limits, AI Experiments, and Enterprise Integration
(49:47) The Future of AI in Databases
(55:20) Evaluating Databases: Performance and Relevancy