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Microsoft’s Drasi: An Open-Source Tool for Efficient Change Management Systems

Analytics Vidhya

Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity.

Systems 163
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Build Compound AI Systems Faster with Databricks Mosaic AI

databricks

Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for.

Systems 114
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How to Build and Monitor Systems Using Airflow?

Analytics Vidhya

Imagine scheduling your ML tasks to run automatically without the need for manual […] The post How to Build and Monitor Systems Using Airflow? Airflow can help you manage your workflow and make your life easier with its monitoring and notifications features. appeared first on Analytics Vidhya.

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Latest Innovations in Recommendation Systems with LLMs

KDnuggets

In this article, we’ll explore how LLMs are changing recommendation systems as we speak. Let's first start with a brief overview.

Systems 82
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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

This will help you decide whether to build an in-house entity resolution system or utilize an existing solution like the Senzing® API for entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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Monitor Your File System With Python’s Watchdog

KDnuggets

Track your file system for changes, such as additions, deletions, movements, or modifications, using Python's WatchDog.

Systems 124
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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

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Changing the Game with MES: Cut Costs, Drive Efficiency, & Achieve Sustainability Goals!

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

A Manufacturing Execution System (MES) is critical for enhancing operational efficiency, reducing waste, and optimizing energy usage—key factors for improving your bottom line and lowering your carbon footprint. In an era where efficiency is king, are you leveraging the right tools to transform your manufacturing processes?

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

A sustainable business model contains a system of interrelated choices made not once but over time. While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

The number of use cases/corner cases that the system is expected to handle essentially explodes. When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases.