“Above the Trend Line” – Your Industry Rumor Central for 9/24/2021

Above the Trend Line

Variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

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[Book Excerpt] Minding the Machines

In this new title, Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success. 

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“Above the Trend Line” – Your Industry Rumor Central for 6/23/2021

Above the Trendline graphic

In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

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[Video Highlights] Supercharging Data Scientists’ productivity at Netflix

Apply ML data conference

Netflix’s unique culture affords its data scientists an extraordinary amount of freedom. They are expected to build, deploy, and operate large machine learning workflows autonomously with only limited experience in systems or data engineering. Metaflow, our ML framework (now open-source at metaflow.org), provides them with delightful abstractions to manage their project’s lifecycle end-to-end, leveraging the strengths of the cloud: elastic compute and high-throughput storage.

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[Video Highlights] Challenges of Operationalizing ML

Apply: ML data engineering conference

In the panel discussion below, the focus is on the main challenges of building and deploying ML applications. The discussion includes common pitfalls, development best practices, and the latest trends in tooling to effectively operationalize. The presentation comes from apply(): The ML Data Engineering Conference sponsored by Tecton.

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At John Deere, ‘Hard Iron Meets Artificial Intelligence’

John Deere

John Deere is leveraging Intel’s artificial intelligence (AI) technology to help solve a costly, age-old problem in the manufacturing welding process. Deere is piloting a solution that uses computer vision to automatically spot common defects in the automated welding process in its manufacturing facilities.

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