In this post, we explore how natural language database analytics can revolutionize the way organizations interact with their structured data through the power of large language model (LLM) agents. Natural language interfaces to databases have long been a goal in data management. Agents enhance database analytics by breaking down complexContinue Reading
Data analysis often presents significant challenges for business users who aren’t proficient in SQL. Traditional methods require technical expertise to query databases, leading to delayed insights and dependence on data teams. Many organizations struggle with making their data accessible to business users while maintaining the analytical capabilities of Amazon Athena.Continue Reading
As climate-related disasters grow more intense and frequent, an international team of researchers has introduced Aurora — a groundbreaking AI model designed to deliver faster, more accurate, and more affordable forecasts for air quality, ocean waves, and extreme weather events. This model, called Aurora, has been trained on over aContinue Reading
As federal funding cuts impact decades of research, scientists could turn to black holes for cheaper, natural alternatives to expensive facilities searching for dark matter and similarly elusive particles that hold clues to the universe’s deepest secrets, a new Johns Hopkins study of supermassive black holes suggests. The findings couldContinue Reading
How can we investigate the effects of a new drug? How can we better understand the interaction between different organs to grasp the systemic response? In biomedical research, so-called organs-on-a-chip, also referred to as microphysiological systems, are becoming increasingly important: by cultivating tissue structures in precisely controlled microfluidic chips, itContinue Reading
This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora, Oracle, and Teradata), with eachContinue Reading
Many enterprise customers across various industries are looking to adopt Generative AI to drive innovation, user productivity, and enhance customer experience. Generative AI–powered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in yourContinue Reading
This post is co-written with Vladimir Turzhitsky, Varun Kumar Nomula and Yezhou Sun from MSD. Generative AI is transforming the way healthcare organizations interact with their data. Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQLContinue Reading
Resilient architectures are the foundation upon which successful businesses are built. However, keeping up with the latest advancements and making sure your systems are resilient can be a daunting task. Between monitoring, analyzing, and documenting architectural findings, a lack of crucial information can leave your organization vulnerable to potential risksContinue Reading
One of the most common applications of generative artificial intelligence (AI) and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Pre-trained foundation models (FMs) excel at natural language understanding (NLU) tasks, including summarization, text generation, and question answering across a wideContinue Reading
