This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you’re closer than you think. Your business processes run through systems. Creating data at every step. Celonis reconstructs this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack.

Go to https://celonis.com/eyeonai to find out more.

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

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(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

#153 Ed Anuff: Unpacking AI's Role in Data Management

Eye On A.I.