Barely over a quarter (26.5%) of business leaders consider their companies to be data-driven. With the amount of information out there and how fast it changes, it is not easy to go from data to ...

Digital transformation is reshaping industries, and data from the Internet of Things (IoT) is at the heart of this change. With an explosion of connected devices creating massive amounts of machine ...

Artificial intelligence (AI) has become a driving force behind innovation, capturing the attention of organizations eager to unlock its transformative potential. Due to advancements such as generative ...

Integrating enterprise data and AI platforms enables organizations to build and deploy more innovative and intelligent applications more rapidly. It lets them build more sophisticated AI applications, ...

As organizations try to become more data-driven, democratizing data and AI has emerged as a top priority. Democratization means making data and AI accessible to a broader range of users, from ...

Organizations are increasingly turning to data-driven decision-making, yet data integrity remains a challenge. According to recent TDWI research: Only 50% of organizations trust their data. Despite ...

Organizations face growing pressure to optimize workflows, reduce operational costs, and enhance customer experiences. Many business-critical processes—such as prior authorizations, underwriting, and ...

Enterprises are increasingly exploring opportunities to productize their data assets where appropriate. They are monetizing their data by packaging it—along with such data-derived assets as trained ...

Your business moves fast—so should your data. As decision-making accelerates, AI, analytics, and business strategies depend on data that is accurate, reliable, and available when needed. Without it, ...

Today, many organizations realize that analytics can provide an important competitive advantage. These organizations want to move forward to evolve their analytics strategies beyond spreadsheets and ...

Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant ...

Data environments are becoming increasingly complex. Many organizations are employing what TDWI terms a multiplatform data architecture to manage new and disparate data sources. This might include the ...