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AI

Impact of AI on #SoftwareTesting: Are Testers Ready? | #QonfX 2024

Join industry experts Rahul Verma, Navin Nair, Nagabhushan Ramappa, and our amazing host Balaji Ponnada in an insightful panel discussion on "AI's Impact on Testing, Tester Roles, and Tester Readiness." In this session, the panelists discuss how artificial intelligence (AI) has revolutionized software testing, sharing the complexities and opportunities of AI-driven testing environments. Through real-world examples and interactive discussion, they explore the changing role of testers in the AI era and provide valuable insights into the future of software testing.

Introducing Choreo Copilot

We're excited to introduce Choreo Copilot (preview), which allows you to interact with Choreo. You can pose questions in natural language and Copilot will provide answers. Choreo Copilot enables you to grasp Choreo concepts, teaches you how to perform tasks in Choreo, and provides guidance when you encounter obstacles. Copilot is familiar with APIs in Choreo’s internal marketplace. Choreo already features an AI capability that enables API testing through natural language.

Artificial Intelligence vs. Intelligent Automation: What's the Difference?

AI injects “intelligence” into automation, enabling systems to execute tasks, comprehend complex data, make informed decisions, and learn from outcomes. Unlike technologies such as robotic process automation (RPA), which follow predetermined rules, AI leverages data to evaluate situations and determine the best course of action. Now that we've explored how AI augments traditional automation tools, let's delve deeper into the realm of intelligent automation.

Get Your AI to Production Faster: Accelerators For ML Projects

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. In the age of information there are thousands of examples available when starting a new project. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.

Snowflake's Arctic-TILT: A State-of-the-Art Document Intelligence LLM in a Single A10 GPU

The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.

Behind The Scenes Of Snowflake Open Source LLM Arctic

Snowflake CEO Sridhar Ramaswamy and Snowflake Head of AI Baris Gultekin join Adrien Treuille, Director of Product Management, to discuss the launch of Snowflake Arctic, the latest enterprise-grade, truly open large language model (LLM). Snowflake Arctic stands out in the competitive landscape with its exceptional efficiency and cost-effectiveness, emphasizing Snowflake's commitment to open-source development and the future of enterprise AI. Join us to explore how Arctic is set to revolutionize industries by making advanced AI more accessible and trustworthy.

Using Moesif, Kong, and Stripe to Monetize Your AI APIs - Part 1: Integrating The Platforms

As the wave of AI sweeps through the technology landscape, many have hopped on board. Interestingly enough, and often overlooked, is that many AI capabilities are served through APIs. Fancy user interfaces integrate with the actual mechanisms where the magic happens: the APIs. So, when generating revenue through AI platforms, the APIs drive the revenue.