The potential of generative AI and large language models (LLMs) for enterprises is massive. We’ve talked about this opportunity before and at Summit 2023, we announced a number of capabilities that come together to help our customers bring generative AI and LLMs directly to their proprietary data, all delivered through a single, secure platform.
Not even Tim Berners-Lee, the inventor of the world wide web, could have predicted the pace or breadth of its expansion over the last 30 years. Once, the web was only accessible via clunky desktop computers: today, it can also be reached from laptops, tablets, mobile phones and even smartwatches. What’s more, consumers want native apps that are unique to a particular platform and they expect updates to be provided seamlessly.
Comprehensive test suites are hard to build out, especially when it comes to UI testing. QA teams have to strike a balance between running enough tests to cover essential cases, and giving each test the attention necessary to ensure quality results. With increasing demand for more releases, testers have a lot on their plate, and so automation becomes essential for keeping up. The challenge? End-to-end tests are notoriously difficult to automate without the right tools. The solution?
Ancient Greek mathematician Archimedes once said, “Give me a lever long enough and a fulcrum on which to place it, and I shall move the world.” He was right. When you intelligently use the right tools, you can move worlds and accomplish what on the surface seems impossible. Right now, developers are doing the impossible—building applications in record time that truly transform industries, improve business processes, and unlock radical productivity.
In today's fast-paced, data-driven world, deeper data insights and faster time to value are paramount if you want your business to stay competitive and thrive. Decision-makers need instant access to all their data sources to make sound business decisions — and they need to have trust in their data. However, data quality is often overlooked. According to Gartner, poor data quality costs organizations an average of $12.9 million annually. What’s going on?
During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. This is no less crucial today, as telcos balance the needs to cut costs and improve efficiencies while delivering innovative products and services.
Salesforce is a game-changer in the business world, revolutionizing how organizations manage customer relationships and drive growth. As businesses increasingly adopt Salesforce as their go-to CRM platform, the need for robust Salesforce testing to fully unlock its capabilities also rises. However, Salesforce testing is quite complex, especially in terms of data management.
