Systems Related Topics 
Analytics Vidhya
OCTOBER 7, 2024
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.
Data Engineering Podcast
MAY 26, 2024
Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. As you have gone through successive migration projects, how has that influenced the ways that you think about architecting data systems?
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Data Engineering Podcast
DECEMBER 3, 2023
Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. With Datafold, you can seamlessly plan, translate, and validate data across systems, massively accelerating your migration project. When is DoubleCloud Data Transfer the wrong choice?
Analytics Vidhya
FEBRUARY 3, 2023
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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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.
databricks
OCTOBER 1, 2024
Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for.
KDnuggets
OCTOBER 11, 2024
In this article, we’ll explore how LLMs are changing recommendation systems as we speak. Let's first start with a brief overview.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Is your manufacturing operation reaching its efficiency potential?
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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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.
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.
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.
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