Systems | Development | Analytics | API | Testing

Snow Report: What's Happening At Snowflake In January

Jan 9, 2025 By Snowflake In Snowflake
This month's edition of Snow Report provides details on upcoming must-attend events, such as AI & Data Predictions 2025, Startup Demo Day, and Gen AI Day. The newsletter also contains some important product announcements, a list of recommended resources, and details about the launch of this year's Startup Challenge.
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Building Bridges Between Engineers and Customers

Jan 9, 2025 By Sauce Labs In Sauce Labs
Tech is brilliant, but it doesn't sell itself. It’s the people in the middle—sellers, marketers, and customer success teams—that connect your innovation to the world. Understand their challenges, and you’ll connect the dots to your product. Catch the latest episode of Test Case Scenario to hear more from @Marcus Merrell on why empathy for the 'connectors' is essential for every tech professional.
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keploy

Chaos Testing Explained: A Comprehensive Guide

Jan 9, 2025 By Swapnoneel Saha In Keploy
Chaos testing, also known as chaos engineering, is one of the most-used methodology to test the resilience and reliability of systems by intentionally introducing controlled failures. Simply put, the goal is to identify weaknesses and improve a system’s ability to handle unexpected scenarios. Originating from Netflix’s famous Chaos Monkey tool, chaos testing has become a key practice in building robust distributed systems.
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bugraptors

AI in Software Testing: Key Trends to Watch in 2025

Jan 9, 2025 By Kanika Vatsyayan In BugRaptors
Software development is a dynamic field that needs reliable and effective testing practices. Artificial Intelligence (AI) is poised to revolutionize software testing services in this dynamic environment. As 2025 draws near, AI is set to transform quality assurance (QA) by automating processes, increasing accuracy, and boosting software quality in general. In this blog article, the leading AI developments in software testing for 2025 are examined.
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cloudera

From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Jan 9, 2025 By Robert Hryniewicz In Cloudera
For years, Cloudera’s platform has helped the world’s most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, it’s clear that our naming should reflect that shift. That’s why we’re moving from Cloudera Machine Learning to Cloudera AI.
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speedscale

Orchestrated Service Virtualization: The Definitive Guide

Jan 8, 2025 By Ken Ahrens In Speedscale
Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature of those parts. Making your service seamless, efficient, and scalable requires tooling that is itself seamless, efficient, and scalable. As organizations have moved to adopting microservices and distributed cloud-native solutions, being able to effectively scale resources and the systems which operate upon those resources has been made even more critical.
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snowflake

Predictions 2025: AI as Cybersecurity Tool and Target

Jan 8, 2025 By Brad Jones In Snowflake
Though AI is (still) the hottest technology topic, it’s not the overriding issue for enterprise security in 2025. Advanced AI will open up new attack vectors and also deliver new tools for protecting an organization’s data. But the underlying challenge is the sheer quantity of data that overworked cybersecurity teams face as they try to answer basic questions such as, “Are we under attack?”
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EP 5: Data Doesn't Have To Be So Complicated

Jan 8, 2025 By Cloudera In Cloudera
More data exists than ever before – in fact, IDC predicts worldwide data will grow 61% by 2025. However, simply having data is not enough; business leaders must know how to effectively leverage it to make informed decisions. Conversely, data professionals also need strong business acumen to understand how their insights create value for the organization. Jordan Morrow, known as “The Godfather of Data Literacy,” joins The AI Forecast to share why data has become so complicated and what leaders and data professionals can do to untangle a messy data web for real value.
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