Systems | Development | Analytics | API | Testing

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Securely Deploy Custom Apps and Models with Snowpark Container Services, Now Generally Available

Since introducing Snowpark Container Services, we’ve seen overwhelming adoption across industries from customers and partners, including Landing.AI, Relational.AI, H20.AI, SailPoint, AIR MILES, Spark NZ, and Eutelsat OneWeb. These organizations and many more are using Snowpark Container Services capabilities to easily and securely deploy everything from custom front-ends and large-scale ML training and inference to open source and homegrown models, all securely within Snowflake.

Enterprise Performance Testing: A critical element of the SAP Activate methodology

By December 2027, all SAP customers are required to have migrated to its S/4HANA platform. To streamline this mandatory migration, SAP developed its SAP Activate methodology. The methodology itself is broken down into six key phases as shown below: When we examine these phases through a quality lens, focused on ensuring that the outcome is a highly performant and scalable system – we find that the need for Enterprise Performance Testing is critical at every stage.

The Role of Security Testing for LLMs Implementations in Enterprises

Businesses are seeking ways to collect all the data from their digital sources and draw out patterns that can reinterpret human participation with automation. A vanguard in this attempt is the emergence of large language models (LLMs) powered by artificial intelligence (AI).

How Not to Cause the Next Global Outage

Skipping thorough testing? Here's why it's a risk you can't afford to take. On July 19, the world experienced what would be the largest tech outage worldwide. If you’re a software developer or tester, you've likely faced the frustration of a system failing right when it’s most critical. Did you know the complexity of today’s software is a significant reason behind these issues? It’s not just an occasional problem; it's a global challenge.

Top 7 Must-Try AI API Tools for Developers

Upon close inspection of the growing adoption of artificial intelligence across different industries, it becomes apparent that a lot it rests on the shoulders of API-powered systems. A survey by McKinsey found that 56% of respondents reported AI adoption in at least one function within their organizations, with significant increase in the use of AI APIs for tasks like natural language processing and computer vision.