Eric Siegel, author of The AI Playbook, was interviewed by Pragmatic Data about a business paradigm to get machine learning deployed, bizML. Click here to listen to the podcast episode.
“There’s a gap between the technical side and the business side. You need to bridge that gap with a common understanding of what’s predicted, how well, and what’s done about it.”
– Eric Siegel
In this insightful Data Chats episode, we explore the critical intersection of business and machine learning with Eric Siegel, a renowned expert in the field. Eric’s insights offer a roadmap for organizations seeking to leverage the power of AI to drive their business forward.
Eric Siegel is the founder of Machine Learning Week, former Columbia professor, and bestselling author of his new release, “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment.” He has a talent for bridging the gap between complex data science concepts and the practical application of machine learning in the business world.
Check out Eric’s new release, “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” here.
With his remarkable insights, Eric Siegel sits down with host, Chris Richardson, as he guides us through the exciting yet challenging landscape of AI’s role in business. They discuss:
Want to learn more from Eric? Tune in to his previous interview with us here.
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I would like to know if there is a commercial specialization to sell machine learning products, without being a programmer and not necessarily being the internal salesman of the technology companies. It is clear that most of the companies have not taken this step and for sure there is a need for a facilitator or a bridge between the technology service companies and the companies that need to optimize their processes.
Thank you for sharing this information about Eric Siegel’s interview on the Pragmatic Data podcast wordle and his insights into the intersection of business and machine learning.
I like your post related to Bridging the Gap Between Data Science and Business to find out what we can do and get benefit. If we get in touch with these posts we can get the desired information that will be helpful for us to learn.
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L’approche visant à faire le lien entre les aspects techniques des données et la compréhension des besoins de l’entreprise est particulièrement précieuse. Le livre aide les lecteurs à éviter les approches techniques étroites et se concentre plutôt sur la manière de communiquer efficacement et de mettre en œuvre les données dans les stratégies d’entreprise.
Toutefois, il convient de noter que pour ceux qui sont déjà profondément immergés dans le domaine des données, des paris de Melbet site officiel et de l’intelligence économique, le contenu du livre peut sembler trop basique. Néanmoins, BizML est une ressource précieuse pour les managers, les analystes et les entrepreneurs qui cherchent à améliorer l’interaction entre les données et l’entreprise.
Thanks, The article provides insights from expert Eric Siegel on how to bridge the gap between data science and business through the BizML model cookie clicker.