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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. With a goal to help data science teams learn about the application of AI and ML, DataRobot shares helpful, educational blogs based on work with the world’s most strategic companies.

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An AI Chat Bot Wrote This Blog Post …

DataKitchen

This can include the use of tools for data preparation, model training, and deployment, as well as technologies for monitoring and managing data-related systems and processes. This can include the use of tools for data integration and transformation, as well as technologies for managing and monitoring data-related systems and processes.

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ChatGPT, Author of The Quixote

O'Reilly on Data

Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. It’s an interesting piece that I commend to you, but one that makes me uncomfortable.

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The journey to a mature asset management system

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Robots and drones perform inspections by using AI-based visual recognition techniques.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

AI can be a force for good, but it might also lead to environmental and sustainability concerns. ” Design, adopt and train AI with attention to sustainability The European Commission estimates that over 80% of all product-related environmental impacts are determined during their design phase. .”

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Climate and Sustainability Hackathon—Meet the Judges!

Cloudera

Jake Bengtson Jake is the Technical Evangelism Director at Cloudera, where he specializes in demonstrating how Cloudera’s Lakehouse supports Generative AI and the entire data lifecycle. His journey in Cloudera began as a Senior Product Marketing Manager over machine learning lifecycle products.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. FUD occurs when there is too much hype and “management speak” in the discussions.

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