Systems | Development | Analytics | API | Testing

eXalt is a French consulting firm with over 1200 consultants and offices in Paris, New York, London, Madrid, Lisbon, Brussels, and throughout France. They specialize in Finance and Tech, offering expertise in data science, cybersecurity, software development and IT infrastructure, project and product management, and more. When eXalt consultants are on assignment, they often need fast, reliable access to a ChatGPT-like tool to help with research and problem-solving.

In late 2020, hackers infiltrated SolarWinds—a company that produces network, systems, and information technology management software for public and private sector organizations. The resulting trojan went on to infect thousands of government entities and private companies as it was introduced into other software applications through version updates. Microsoft President Brad Smith called it "the largest and most sophisticated attack the world has ever seen.”

Cloud migration can save businesses 30–50% on operations and improve scalability, security, and flexibility. But poor planning can lead to delays and budget overruns. Here’s a quick overview of the 5 essential steps to ensure a smooth transition.

Unlocking the full potential of your data is about more than just visualizing it. True data transformation comes from applying insights to make impactful business decisions.

In our second Release in 2025, we’re introducing additional performance insights to help you identify and resolve even more Bottlenecks faster and more effectively. Detailed information is now integrated in our Weekly Report, namely the number and types of the observations discovered in your application. We’re eager to make it easier than ever to stay on top of optimizations.

Imagine waking up to an email from a junior developer: I just wrote 1,000 lines of flawless code in under an hour! Impressive? Absolutely. Suspicious? Maybe. Thanks to AI tools like GitHub Copilot, ChatGPT, Cursor and Claude, writing code has never been faster. But as AI-generated code floods repositories, classrooms, and businesses, a critical question arises: How do we know if code was written by a human or an AI?