Systems | Development | Analytics | API | Testing

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Sketch - The Premier Platform for Digital Creativity

In the realm of digital design, Sketch has emerged as a game-changer. With its powerful vector editor, built-in prototyping, and collaborative features, Sketch has become the go-to tool for over a million designers worldwide. This article provides an in-depth review of Sketch, tailored for web designers, developers, digital marketers, website owners, and e-commerce managers.

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.

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.

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.

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.

Snowflake Data Clean Rooms for Marketing

In less than 5 minutes, Ankur Abhishek, Senior Product Manager at Snowflake, demostrates how Snowflake Data Clean Rooms can be used for audience overlap, audience lookalike, and attribution analysis. As Kamakshi Sivaramakrishnan, Senior Director of Product Management at Snowflake, explains, "This is the full marketing lifecycle brought in its entirety in a Snowflake clean room, run securely with multiple parties collaborating with each other. This is demystifying clean rooms.".

The Ultimate Guide to Retail Data Analytics

Whether you love, hate or remain indifferent towards data, it’s impossible to deny its importance in today’s business landscape. Businesses across all sectors and industries collect data and perform data analysis, to better understand their customers and business processes, in an effort to boost productivity, reduce expenditure and gain competitive advantage.

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.

Improving LLM Accuracy & Performance - MLOps Live #28 with Databricks

Watch session #28 in our MLOps Live Webinar Series featuring Databricks where we discuss improving LLM accuracy & performance. Hear Margaret Amori (Databricks), Vijay Balasubramaniam (Databricks) , and Yaron Haviv (Iguazio) share best practices and pragmatic advice on successfully improving the accuracy and performance of LLMs while mitigating challenges like risks and escalating costs. See real examples including techniques to overcome common challenges using tools such as Databricks Mosaic AI and their new open LLM, DBRX.