Systems | Development | Analytics | API | Testing

Building Reliable AI models on Snowflake

Step into the future of AI with Snowflake and Hevo—where innovation meets reliability. Join us for an exclusive webinar to explore how Snowflake's cloud-native platform is empowering organizations to build reliable, scalable AI models. With cutting-edge advancements like Cortex AI and RAG, Snowflake sets the foundation for AI-driven transformations across industries. Discover how to harness these powerful capabilities to develop of Snowflake that delivers faster, more accurate results for your data-driven projects.

Everything you need to know about AI Agents in analytics

A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.

Share Snowflake Cortex AI fine-tuned LLMs from Meta and Mistral AI

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

What's New: Conversational Applications And NLP With Cortex AI

Get a comprehensive overview of all the new features and services in Cortex AI that enable data and engineering teams to operationalize natural language processing pipelines and chat with your data applications.This BUILD 2024 session, led by the Cortex AI Product Managers, covers the latest LLMs, search, and text-to-SQL enhancements.

No-Code, No Problem: AI-Powered Automation for Manual Testers

“Quality is more important than quantity. One home run is much better than two doubles.” – Steve Jobs In the world of software testing, this quote couldn’t be more relevant. If you’re a manual tester, you know the pressure to deliver high-quality results, often within tight deadlines and limited resources. Yet, with today’s fast-paced software development cycles, meeting these demands through manual testing alone is increasingly challenging.

Role of AI Agents in Software Testing

If you are looking to add intelligent test automation to your testing processes: AI agents are the answer. Unlike traditional testing tools, which depend on static programming scripts or fragile locators, AI agents learn and evolve with the software they test. That is why they are highly effective in dynamic environments. As a result, AI agents have an important role in maintaining software quality in Agile and DevOps workflows.