Read more about author Chandra DiGregorio. When it comes to solving business problems, data scientists understand how crucial it is to formulate the right business question. While it’s easy to get sidetracked by intriguing data trails, the most effective questions are those that align closely with organizational priorities, provide actionable insights, and guide strategic decisions. Here are the key principles for crafting high-impact business questions when planning your next research initiative or…

Read more about author Pankaj Zanke. Today’s modern business landscape is fiercely competitive, and companies are wielding cloud computing as a strategic weapon to gain an edge. Cloud computing has revolutionized how businesses operate, offering on-demand access to a vast pool of IT resources – storage, servers, databases, networking, and software – all securely delivered over the internet. Imagine ditching expensive physical infrastructure and instead tapping into a readily available…

Read more about author Alex Merced. Over the past few years, the industry has increasingly recognized the need to adopt a data lakehouse architecture because of the inherent benefits. This approach improves data infrastructure costs and reduces time-to-insight by consolidating more data workloads into a single source of truth on the organization’s data lake. This is made possible by data lakehouse table formats like Apache Iceberg, Apache Hudi, and Delta Lake, which enable database-like…

Read more about author Wing Lon Ng. As AI matures and becomes more integrated into clinical trial operations, generative AI (GenAI) technology is ushering in a new era for clinical research and drug development, redefining the clinical trial landscape and offering a quantum leap in efficiency and precision. This innovative technology streamlines every phase, transforming traditionally time-consuming processes into swift, automated workflows. At the heart of this advance is GenAI’s…