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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

This means users can build resilient clusters for machine learning (ML) workloads and develop or fine-tune state-of-the-art frontier models, as demonstrated by organizations such as Luma Labs and Perplexity AI. SageMaker HyperPod runs health monitoring agents in the background for each instance.

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Accelerating innovation with cloud-native apps on Microsoft Cloud

CIO

A modern bank must have an agile, open, and intelligent systems architecture to deliver the digital services today’s consumers want. That is very difficult to achieve when the systems running their business functions are resistant to change. How does TCS help financial organizations with application modernization?

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Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

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Building a Media Understanding Platform for ML Innovations

Netflix Tech

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix.

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Mastering sustainability challenges in the water domain with smart meter synergy

CIO

To illustrate, Farys expects a 20% cost reduction potential due to increased efficiency in administration and business operations as a result of integration between all components, one source of truth, and extensive analytics, with the ability to unlock artificial intelligence (AI) and machine learning (ML).

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AI agents loom large as organizations pursue generative AI value

CIO

Distributing tasks across multi-agent systems requires a modular approach to system architecture, in which development, testing, and troubleshooting are streamlined, reducing disruption. A similar approach to infrastructure can help.

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Building a Beautiful Data Lakehouse

CIO

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Each ETL step risks introducing failures or bugs that reduce data quality. .