To move AI projects from pilots and plans to full implementation, organizations must adopt a structured, strategic approach.

Are you ready to start reaping the benefits of streaming analytics but worried about investing in new technology that could rapidly become outdated? How can you stay ahead of the curve, take advantage ...

The "big" in "big data" is a function of the volume, variety, and velocity of the information that constitutes it. If you read a dozen articles on big data, there's a good chance the 3 Vs -- volume, ...

At TDWI's Executive Summit in San Diego, Mark Madsen posed the provocative question: is there a statistically significant correlation between sales of beer and sales of diapers? Madsen, a research ...

The data lake has come on strong in recent years as a modern design pattern that fits today's data and the way many users want to organize and use their data. For example, many users want to ingest ...

For years, TDWI research has tracked the evolution of data warehouse architectures as well as the emergence of the data lake. The two have recently converged to form a new and richer data architecture ...

All organizations want accurate data to run their operations. Getting data into a useful format is the focus of significant industry attention, whether that data comes from social media, structured ...

It is challenging—yet exciting—to compete, collaborate, innovate, and drive efficient business and IT operations in today’s roller-coaster world of continuous changes. Organizations of all sizes need ...

The advent of generative AI sparked a push toward developing a conversational interface for business analytics and data insight generation. It seemed to be a perfect use case, allowing decision-makers ...

In the first part of our series we introduced the basics of data mesh. In Part 2 we explored best practices for adopting the technology. In this, the last part of our series, we examine several of the ...

Once an obscure field known only to specialized mathematicians and data analysts, prescriptive analytics has become a cornerstone of modern business strategy. From workforce scheduling and portfolio ...

Enterprises rely on robust data quality management to address challenges and seize strategic and operational advantages in today’s business environment. Data quality management—often known as ...