Podcast: No-Code & Low-Code AI with Gwendolyn Stripling
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.
In this episode of ODSC’s Ai X Podcast, Gwendolyn D. Stripling, PhD, AI/ML Content Developer at Google Cloud and author of Low-Code AI, discusses the importance and impact of low-code and no-code AI on the industry. In this wide-ranging interview, they’ll explore how low-code and no-code can make AI more inclusive, how businesses can effectively implement AI solutions, and real-world examples of low-code AI in practice.
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You’ll learn about the differences between popular tools for low-code AI solutions like AutoML, BigQuery ML, scikit-learn, and Keras, as well as the benefit of a data-first and use-case-driven approach for machine learning and AI novices.
As low-code and no-code AI solutions become more prevalent, they’re sure to have an impact on the roles of data scientists and machine learning engineers. During this interview, Gwendolyn takes time to explore how these roles might change under these conditions and what the future might look like.
Gwendolyn also takes the time to discuss success stories of non-technical individuals utilizing no-code and low-code AI to effectively solve real-world problems. They also delve into some of the risks associated with the democratization of AI, including the proliferation of biased models, and how non-technical individuals can guard against bias and unfairness.
Start listening now to fully explore the impact of no-code and low-code AI, and don’t forget to subscribe to ODSC’s Ai X Podcast to ensure you never miss an episode. Finally, like what you hear? Leave a review or share it with a friend! You can listen on Spotify, Apple, and SoundCloud.
Originally posted on OpenDataScience.com
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