Anaconda is a software company that’s well-known for its solutions for managing packages, environments, and security in large-scale data workflows. The company has played a major role in making Python-based data science more accessible, efficient, and scalable. Anaconda has also invested heavily in AI tool development.
Greg Jennings is the VP of Engineering and AI at Anaconda. He joins the podcast with Kevin Ball to talk about the tooling ecosystem around AI app development, the Anaconda Toolbox, the rapidly evolving role of AI in engineering, and more.
Kevin Ball or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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Sponsors
This episode of Software Engineering Daily is brought to you by Capital One.
How does Capital One stack? It starts with applied research and leveraging data to build AI models. Their engineering teams use the power of the cloud and platform standardization and automation to embed AI solutions throughout the business. Real-time data at scale enables these proprietary AI solutions to help Capital One improve the financial lives of its customers. That’s technology at Capital One.
Learn more about how Capital One’s modern tech stack, data ecosystem, and application of AI/ML are central to the business by visiting www.capitalone.com/tech.
