Table of Contents April 25, 2024 insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis?

My horse recently had an injury. Initially, we suspected an issue with his hind leg due to prior swelling, but our vet suspected something else. To confirm her assumptions she also used an AI tool called Sleip.AI during the examination, and confirmed the problem in the front leg instead. This AI tool didn’t replace her expertise but accelerated her diagnostic process, showcasing how AI augments rather than replaces professional judgment.

We are thrilled to announce the arrival of Tricentis Testim Copilot, the first of many Tricentis Copilot solutions. Tricentis Copilot solutions are a collection of advanced generative AI capabilities available as add-ons across our products that help customers boost their efficiency throughout the entire testing lifecycle. With Testim Copilot, we’ve added new advanced generative AI capabilities to Testim, an already AI-driven test automation platform.

Ever since the release of ChatGPT in November 2022, organizations have been trying to find new and innovative ways to leverage gen AI to drive organizational growth. LLM capabilities like contextual understanding and response to natural language prompts enable the development of applications like automated AI chatbots, smart call center apps, or for financial services.

We are in a time where new technologies are being introduced rapidly in the market. This means for any business to stay competitive, it’s important to stay adaptable to change. You have to keep informed of the trends shaping the future to keep thriving. One of the most important frontiers for innovation to keep watching is the software development sector. By understanding the currents and undercurrents in this area, you can get a wider view of where the world is heading.

Building top-tier enterprise-grade intelligence using LLMs has traditionally been prohibitively expensive and resource-hungry, and often costs tens to hundreds of millions of dollars. As researchers, we have grappled with the constraints of efficiently training and inferencing LLMs for years.

New research shows overconfidence about AI could lead to a higher risk of failure and costly mistakes amounting to hundreds of millions of dollars.