AI Evolution and Future Directions

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This chapter explores the evolution of AI technologies, touching on past experiences, concerns about job impact, and the importance of problem-solving skills over specific tools. It discusses low code AI development, open source ecosystems, and the role of standardization in fostering innovation. The conversation delves into challenges with open datasets, privacy in data, and the future of Anaconda in making AI more accessible and efficient.

Anaconda is a popular platform for data science, machine learning, and AI. It provides trusted repositories of Python and R packages and has over 35 million users worldwide.

Rob Futrick is the CTO at Anaconda, and he joins the show to talk about the platform, the concept of an OS for AI, and more.

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

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