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Technology

What to Look for in an Enterprise Infrastructure Service Provider

In the current constantly evolving hybrid cloud enterprise business environment, reliable and efficient infrastructure services for consulting, implementation and operations are critical for organizations to thrive. Whether you're a small startup or a large enterprise, choosing the right infrastructure services provider can significantly impact your operations, scalability, and overall success. Here’s what to look for in an enterprise infrastructure services provider.

What CXOs Should Learn from the Gartner Hype Cycle: AI, Clouds, Security and More

Making informed decisions on technology adoptions and ensuring the sustained growth and relevance of the organization in the market has never been more exciting than in the current times we live in. The Gartner hype cycle is a valuable tool in this pursuit with all its insights into the timing, adoption, and potential benefits of various technologies.

Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI

Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. In Financial Services, the projected numbers are staggering. According to a recent McKinsey & Co.

Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AI

It is estimated that between 80% and 90% of the world’s data is unstructured1, with text files and documents making up a significant portion. Every day, countless text-based documents, like contracts and insurance claims, are stored for safekeeping. Despite containing a wealth of insights, this vast trove of information often remains untapped, as the process of extracting relevant data from these documents is challenging, tedious and time-consuming.

Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives.

Watch: Using generative AI for test automation in Rainforest [Video]

We’ve integrated generative AI features deeply into our no-code test automation platform, Rainforest QA. Each of these features is designed to help you avoid the time-consuming and otherwise annoying work of keeping automated test suites up to date — so your software development team can stay focused on shipping, fast. In this video, our CEO, Fred Stevens-Smith, walks through what some of these genAI features look like in action.

Snowflake Summit 2024 | Opening Keynote

Watch the full Opening Keynote presentation from Snowflake Summit 2024. The presentation features comments by Snowflake CEO Sridhar Ramaswamy, who discusses the impact AI has had across every organization, followed by a CEO fireside conversation between Sridhar and NVIDIA Founder and CEO Jensen Huang, who discusses what the future holds in this new AI era.

Mastering StudioAssist: Efficient Mobile, API, and Web Testing

As a software testing professional, you know the importance of efficient and reliable testing processes. With Katalon's StudioAssist, you can streamline your testing workflow and ensure high-quality results. In this comprehensive guide, you'll learn how to utilize StudioAssist for mobile, API, and web testing through practical examples and step-by-step instructions. Whether you're a seasoned tester or just starting out, this guide will help you harness the full potential of StudioAssist.