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One of the primary reasons organizations fail to see a return on their AI investments is due to a lack of clear goals and strategies. Many businesses adopt AI technologies without fully understanding how they can be leveraged to drive revenue growth or improve operational efficiency. To avoid this pitfall, it’s essential to establish specific, […]

With the ability to process vast amounts of data at incredible speeds, AI automation has become an indispensable tool for businesses and individuals alike. By automating repetitive and mundane tasks, professionals can free up time to focus on high-value tasks that drive innovation and growth. According to a report by McKinsey, AI has the potential

Introduction Many generative AI use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall short of user expectations. Despite the growing body of research on RAG improvements and even adding Agents into the process, many solutions still fail to return exhaustive results, miss information that is critical but infrequently mentioned in the documents,

“Conduct a comprehensive literature review on the state-of-the-art in Machine Learning and energy consumption. […]” With this prompt, I tested the new Deep Research function, which has been integrated into the OpenAI o3 reasoning model since the end of February — and conducted a state-of-the-art literature review within 6 minutes. This function goes beyond a normal web

There are some Sql patterns that, once you know them, you start seeing them everywhere. The solutions to the puzzles that I will show you today are actually very simple SQL queries, but understanding the concept behind them will surely unlock new solutions to the queries you write on a day-to-day basis. These challenges are