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Subscribe • Previous Issues This edition has 424 words which will take you about 3 minutes to read. “People get burned-out not because they’re working too hard but because they’re not feeling rewarded by the work they’re doing. They get burned-out because they believe their work has no impact. … Burnout is when the creative part ofContinue reading “Gradient Flow #26: Multi-cloud Native, Next-gen BI and Analytics, AI Advancements”
As companies go multi-cloud, a new set of tools simplify IT management and application development. By Ben Lorica and Ion Stoica. [This post originally appeared on the Anyscale blog.] In a previous post we examined current serverless computing offerings and described why Ray is an ideal substrate for general purpose computing platforms. While serverless hasContinue reading “The Emergence of Multi-cloud Native Applications and Platforms”
Subscribe • Previous Issues This edition has 363 words which will take you about 2 minutes to read. “A wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” – Herbert Simon. Data Exchange podcast Key AI and Data Trends forContinue reading “Trends to Watch in 2021 and Best Books of 2020”
Subscribe • Previous Issues This edition has 476 words which will take you about 3 minutes to read. “The character of a building like that of a man, is not its outward appearance but rather what’s inside.” – Merrell Vories Hitotsuyanagi Data Exchange podcast Security and privacy for the disoriented In this episode I speak withContinue reading “Gradient Flow #24: Robots Are Listening, Funding Updates, Security for the Disoriented”
A new startup from MIT and Brown lets users transform, visualize, and model data through a graphical user interface. In a recent post we described the use of AI and machine learning to expand the user base of BI tools, and enable users to perform increasingly more sophisticated analytics. The objective is to reduce timeContinue reading “Visual Data Computing Unleashed”
Late last year I started running into more companies using reinforcement learning (RL). Inspired by some of the things I was hearing about, early this year I wrote about emerging RL use cases in simulation & optimization, as well as examples of RL in recommendation and personalization systems. With the global pandemic taking a tollContinue reading “One Simple Chart: Demand for Reinforcement Learning Holds Steady”
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