A catastrophe hazard is a severe and widespread event that causes significant damage and financial loss. These events are frequently natural disasters or large-scale human-made incidents that affect expansive and contemporary claims. Catastrophe hazards pose substantial trouble to insurers, as they can lead to a high volume of claims within a short period, potentially impacting insurance companies’ financial stability.
SAP testing is full of challenges, from complex migration processes to inefficient testing strategies. Tricentis LiveCompare mitigates these challenges by providing SAP teams with AI-powered analytics and insights that significantly reduce the risk, time, and cost of delivering and supporting changes to SAP solutions. LiveCompare’s latest release offers new enhancements to help our customers overcome these obstacles.
We are delighted to announce that Tricentis qTest has won three prestigious TrustRadius Best of Awards! TrustRadius is an unbiased, trusted B2B technology decisioning platform that offers vetted reviews by real users to help technology buyers make confident purchasing decisions. Best of Awards are based entirely on customer reviews, and serve to spotlight products with superior customer satisfaction.
Artificial intelligence is changing the world. With use cases ranging from content generation to deep data analysis to detecting health issues, AI can greatly improve lives and enhance business outcomes. And with the explosion of generative AI services and large language models, we can expect AI to become even more ubiquitous than it already is. But AI isn’t perfect. In particular, AI privacy issues put organizations at risk or prevent adoption in the first place.
Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.
Engineering Managers, Team Leads and Product Managers can now identify and address collaboration inefficiencies before they escalate. Using metrics such as pull request cycle time and merge frequency, you can pinpoint bottlenecks more quickly, quantifying Git collaboration and enhancing overall productivity.