The growing reliance on data-driven decision-making highlights the need for more intuitive ways to access and analyze information stored in relational databases. However, the requirement of SQL knowledge has long been a significant barrier for non-technical users. This article introduces an innovative solution that leverages Generative AI to bridge this gap, enabling users to query databases using natural language. Our approach automatically translates natural language queries into SQL, ensuring both syntactic and semantic correctness, while also generating clear, natural language responses from the retrieved data. By streamlining the interaction between users and databases, this method empowers individuals without technical expertise to engage with data directly and efficiently, democratizing access to valuable insights and enhancing productivity.

No matter the sport, every team is trying to get an edge over the competition. The front office of any organization is always looking for innovative ways to make sure the product on the field reaches its peak. That's why Sevilla FC, one of La Liga's top soccer clubs, has teamed with IBM and its watsonx generative AI to develop a new way of evaluating players in the scouting department. Sevilla FC introduced Scout Advisor Tuesday. It's an innovative tool built by IBM's watsonx to revamp its recruitment process.

IBM is taking on the likes of Microsoft, AWS, and Google by introducing Watsonx, a new generative AI platform, which will help enterprises design and tune large language models (LLMs) for their operational and business requirements. Watsonx comes with a suite of tools for tuning LLMs, a data store built on lakehouse architecture, and an AI governance toolkit, the company said. Watson AI is IBM's artificial intelligence engine that the company had trained on different machine learning algorithms along with question analysis, natural language processing, feature engineering, and ontology analysis. Watsonx can be seen as the evolution of Watson AI. With the Watsonx platform, the company said it is trying to meet enterprises' requirements in five areas including interacting and conversing with customers and employees, automating business workflows and internal processes, automating IT processes, protecting against threats, and tackling sustainability goals.

IBM is taking on the likes of Microsoft, AWS, and Google by introducing Watsonx, a new generative AI platform, which will help enterprises design and tune large language models (LLMs) for their operational and business requirements. Watsonx comes with a suite of tools for tuning LLMs, a data store built on lakehouse architecture, and an AI governance toolkit, the company said. Watson AI is IBM's artificial intelligence engine that the company had trained on different machine learning algorithms along with question analysis, natural language processing, feature engineering, and ontology analysis. Watsonx can be seen as the evolution of Watson AI. With the Watsonx platform, the company said it is trying to meet enterprises' requirements in five areas including interacting and conversing with customers and employees, automating business workflows and internal processes, automating IT processes, protecting against threats, and tackling sustainability goals.

Years before everyone was being impressed with the human-like text output of ChatGPT and other generative AI systems, IBM's Watson was blowing our minds on Jeopardy. IBM's cognitive computing project famously dominated its human opponents, but the company had much larger long-term goals, such as using Watson's ability to simulate a human thought process to help doctors diagnose patients and recommend treatments. Now, IBM is pivoting its supercomputer platform into Watsonx, an AI development studio packed with foundation and open-source models companies can use to train their own AI platforms. If that sounds familiar, it may be because NVIDIA recently announced a similar service with its AI Foundations program. Both platforms are designed to give enterprises a way to build, train, scale and deploy an AI platform.