The Institute for Ethical AI & Machine Learning

Exciting insights in the Machine Learning Ecosystem this week: Stack Overflow 2024 survey incl AI, Netflix's new OSS workflow orchestrator, Meta releases Llama 3.1, Google's Weather AI more - check out the deep dives and resources in this week's edition! For anyone looking for exciting ways to develop your ML Engineering skills in 2024, we have also listed interesting MLOps events this coming year 📅 more 🚀 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

GitHub's Chief Product Officer Inbal Shani dives into the transformative impact of AI on software development, covering the impact of AI augmenting (as opposed to replacing) developers soon, improving productivity through developer tools. This highlights quite a lot underappreciated potential of AI-driven testing and predicts increased AI integration in development over the next few years, as well as sharing insights on effective AI adoption within product teams. https://lnkd.in/eCKGRVWm -- If you liked this article you can join 60,000 practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

GitHub's Chief Product Officer Inbal Shani dives into the transformative impact of AI on software development, covering the impact of AI augmenting (as opposed to replacing) developers soon, improving productivity through developer tools. This highlights quite a lot underappreciated potential of AI-driven testing and predicts increased AI integration in development over the next few years, as well as sharing insights on effective AI adoption within product teams. https://lnkd.in/e5x3bpTj -- If you liked this article you can join 60,000 practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

Goldman Sachs talks about the GenAI elephant in the room; the disproportionate amount of revenue they need to generate to break even against the estimated ~$1tn AI capex spend from tech companies on GenAI and foundation models: Goldman brings pragmatic insights on the opportunities and gaps in the AI gold rush, covering even the already-known supply constraints in AI chip production which is expected to lag with shortages beyond 2025. Even then, investment phases indicate immediate gains for companies like Nvidia producing, closley with infrastructure firms following - both which are bringing the "pick-axes in the gold rush". Even with that in mind, there is a stern warning on economic risks due to high valuations, highlighting the obvious on the remaining need to see substantial productivity gains from AI to show the potential across the S&P 500 and beyond. Report: https://lnkd.in/dcTHuYGu -- If you liked this article you can join 60,000 practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

Goldman Sachs talks about the GenAI elephant in the room; the disproportionate amount of revenue they need to generate to break even against the estimated ~$1tn AI capex spend from tech companies on GenAI and foundation models: Goldman brings pragmatic insights on the opportunities and gaps in the AI gold rush, covering even the already-known supply constraints in AI chip production which is expected to lag with shortages beyond 2025. Even then, investment phases indicate immediate gains for companies like Nvidia producing, closley with infrastructure firms following - both which are bringing the "pick-axes in the gold rush". Even with that in mind, there is a stern warning on economic risks due to high valuations, highlighting the obvious on the remaining need to see substantial productivity gains from AI to show the potential across the S&P 500 and beyond. Report: https://lnkd.in/e8qH9waw -- If you liked this article you can join 60,000 practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

Following the Crowdstrike global incident we are reminded of the risks in critical infrastructure, making it a great opportunity to dive into some of the risks in AI security: The operation and maintenance of large scale production machine learning systems has uncovered new challenges which require fundamentally different approaches to that of traditional software. In this talk I dive into a set of practical examples showcasing "Flawed Machine Learning Security", together with best practices to tackle these. Video: https://lnkd.in/ey9_Nw3H -- If you liked this article you can join 60,000 practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

Following the Crowdstrike global incident we are reminded of the risks in critical infrastructure, making it a great opportunity to dive into some of the risks in AI security: The operation and maintenance of large scale production machine learning systems has uncovered new challenges which require fundamentally different approaches to that of traditional software. In this talk I dive into a set of practical examples showcasing "Flawed Machine Learning Security", together with best practices to tackle these. Video: https://lnkd.in/e5mXTmKF -- If you liked this article you can join 60,000 practitioners for weekly tutorials, resources, OSS frameworks, and MLOps events across the machine learning ecosystem: https://lnkd.in/eRBQzVcA #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

Exciting insights in the Machine Learning Ecosystem this week: Yoshua Bengio on ML Safety, GitHub on AI in Engineering, Goldman Sachs on the GenAI Elephant in the Room, my talk on Machine Learning Security more - check out the deep dives and resources in this week's edition! For anyone looking for exciting ways to develop your ML Engineering skills in 2024, we have also listed interesting MLOps events this coming year 📅 more 🚀 https://lnkd.in/ewrPCG3N hashtag#ML hashtag#MachineLearning hashtag#ArtificialIntelligence hashtag#AI hashtag#MLOps hashtag#AIOps hashtag#DataOps hashtag#aug

Exciting insights in the Machine Learning Ecosystem this week: Yoshua Bengio on ML Safety, GitHub on AI in Engineering, Goldman Sachs on the GenAI Elephant in the Room, my talk on Machine Learning Security more - check out the deep dives and resources in this week's edition! For anyone looking for exciting ways to develop your ML Engineering skills in 2024, we have also listed interesting MLOps events this coming year 📅 more 🚀 #ML #MachineLearning #ArtificialIntelligence #AI #MLOps #AIOps #DataOps #augmentedintelligence #deeplearning #privacy #kubernetes #datascience #python #bigdata

It's been a pleasure to meet Alejandro Saucedo who spoke on the #WAD24 main stage about all things #MLOps, covering the many many aspects and '2024 state' of the ML-DLC (Machine Learning Development Life Cycle).