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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. The Streamlit application will now display a button labeled Get LLM Response.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

Trends 158
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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows.

Media 101
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Predictive analytics helps Fresenius anticipate dialysis complications

CIO

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

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Astera Labs, a fabless chip startup, nabs $50M at a $950M valuation to remove bottlenecks in high-bandwidth cloud applications

TechCrunch

Machine learning and other artificial intelligence applications add even more complexity. This is an issue that extends to different aspects of enterprise IT: for example, Firebolt is building architecture and algorithms to reduce the bandwidth needed specifically for handling big data analytics.