Systems | Development | Analytics | API | Testing

%term

Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent's new AI Model Inference seamlessly integrates AI and ML capabilities into data pipelines. Confluent's new Freight clusters offer cost-savings for high-throughput use cases with relaxed latency requirements.

Decoding Mobile App Testing: 7 Crucial Benefits of On-Premise Physical Devices versus Real Device Cloud Environments

In the dynamic space of mobile app development, testing methodologies play a pivotal role in ensuring the quality and functionality of applications across diverse devices and platforms. Traditionally, on-premise physical device testing has been the norm, offering unparalleled insights into real-world scenarios. However, real device cloud testing has revolutionized the landscape, providing newfound agility and scalability.

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.

A Look At Gurucul's Threat Detection, Investigation, And Response Platform

In this episode of "Powered by Snowflake, host Julian Forero chats with Nilesh Dherange, Co-founder and CTO of Gurucul, about data, cybersecurity, and machine learning in the context of Gurucul's threat detection, investigation, and response platform. Founded in 2010, Gurucul's mission has always been to bring together different silos of cybersecurity data. In this conversation, Nilesh provides an in-depth demo showing how the platform works, while explaining how its capabilities have advanced over time through the use of machine learning models and the adoption of Snowflake as one of its supported data lakes.

How the Future of #AutomationTesting & SDETs Look like | Subhash Kotra | #QonfX 2024

In this session, Subhash Kotra delves into the future of automation and Software Development Engineers in Test (SDETs) in an AI-driven world. Discover how AI-powered automation tools are revolutionizing testing methodologies, enhancing efficiency, and scalability. Learn about the evolving role of SDETs in integrating AI into the software development lifecycle, designing robust testing frameworks, and ensuring responsible AI deployment.