For decades, the sci-fi dream of simply speaking to your device and having it perform tasks for you seemed far-fetched. In the realm of test automation and quality assurance, this dream is inching closer to reality. With the evolution of generative AI, we’re prompted to explore what’s truly feasible. Embedding AI into your quality engineering processes becomes imperative as IT infrastructures become increasingly complex and integrated, spanning multiple applications across business processes.

AI automation involves leveraging artificial intelligence (AI) to automate repetitive tasks within operational workflows, thereby enhancing efficiency and productivity. This not only streamlines routine tasks within core business processes but also enables companies to scale growth efficiently by integrating a broad range of digital tools such as robotic process automation, APIs, and software robots.

For the banking and financial services industry, artificial intelligence (AI) isn't just a new tech trend. It's a powerful tool that will have a wide range of impacts, from risk management to operational efficiency and customer experience. According to Deloitte, the world’s top 14 investment banks could potentially boost their front-office productivity by 27% to 35% by leveraging generative AI.

AI is emerging as an important tool for meeting the mission at federal government agencies. It can add efficiency and aid decision-making by: Many government agencies are already using AI processes. Below are some important use cases for AI in federal government: And that’s just a small sample of the ways federal agencies are using AI. Thousands more use cases have been identified related to national security, healthcare, transportation, and more.

Every winter, members of ThoughtSpot’s research and development teams participate in a company-wide hackathon called Codex. The ideas that come out of Codex are always inspiring, but the Winter 22/23 hackathon was special—OpenAI had just released ChatGPT and the world was buzzing about generative AI.

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized.

In the buildup to this week’s World Economic Forum Annual Meeting in Davos, Switzerland, the talk of polycrisis becoming permacrisis painted a picture of impending doom. These terms have been used to describe the global condition today, citing the “cascading and connected crises” triggered by war and geopolitics, economic uncertainty, and environmental concerns, and their persistence.