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astera

AI Data Mapping: How it Streamlines Data Integration

Oct 4, 2024 By Junaid Baig In Astera
AI has entered many aspects of data integration, including data mapping. AI data mapping involves smart identification and mapping of data from one place to another. Sometimes, creating data pipelines manually can be important. The process might require complex transformations between the source and target schemas while setting up custom mappings.
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AI in Exploratory Testing: From hype to practice

Oct 3, 2024 By Xray In Xray
The future of Software Testing is here, and it's powered by AI! Are you ready to integrate AI into your exploratory testing? In this webinar, we dive into how AI can fill the gaps in your exploratory testing process. Learn about the challenges and opportunities AI presents, and how you can leverage it to stay ahead of the curve. What you'll discover: Don’t miss out - transform the AI buzz into breakthrough performance for your testing!
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bugfender

Understanding Kotlin Generics: A Complete Guide for Developers

Oct 3, 2024 By Sachin Siwal In Bugfender
Kotlin Generics are a way to use generics in Kotlin that have type parameters specified to their usage. This powerful tool defines code components so that they will work with any data type in a flexible and reusable manner – and the main advantage of Kotlin Generics is how they are statically-typed.
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snowflake

Driving Innovation and Efficiency with Gen AI in Life Sciences

Oct 2, 2024 By Harini Gopalakrishnan In Snowflake
AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.
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ClearML

The Cloud Exit: Cost, Security, and Performance Driving the Move Back to On-Premises

Oct 1, 2024 By ClearML In ClearML
The last decade has seen a giant shift by organizations into the cloud for software, storage, and compute, resulting in business benefits ranging from flexibility and lower up-front costs to easier maintenance. But lately we have seen more and more companies re-evaluating their cloud strategies and opting to move their data back to on-premises infrastructure due to several key factors.
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astera

Making Waves with AI: Ensure Smooth Sailing by Automating Shipping Document Processing

Oct 1, 2024 By Raza Ahmed Khan In Astera
The year is 1424. You’re shipping goods across the world, and the ship in question gives you a bill of lading. It’s a piece of paper containing details about what your goods are, where you’re shipping them from, and where they’re headed. Fast forward to 2024. You’re shipping your goods across the world, and the shipping company gives you a bill of lading. It’s still (most likely) a piece of paper.
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How Booking.com Used Data Streaming to Put Travel Decisions into Customer's Hands

Oct 1, 2024 By Confluent In Confluent
Booking.com wanted to give people a “connected trip” experience, allowing customers to seamlessly book flights, accommodations, car rentals, and excursions in one visit. The company realized the value of data streaming early on in reaching this goal, but the operational effort had become overwhelming. Learn how Booking.com found the answer in Confluent’s data streaming platform. With its automated configuration that required no ongoing maintenance, the team was able to prioritize innovation with data and provide the comprehensive booking experience they had been searching for.
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