Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

Forty-eight percent of workers struggle to find files, 45 percent of SMBs still use paper, and e-signatures can boost close ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system’s behavior is determined from its ...

Janani Dumbleton, principal consultant at Experian UK, explains why data governance is significant to the success of your business, and outlines how to implement it More and more organisations are ...

Data managers, administrators, engineers, and analysts know more than anyone what kind of data is available to enterprises seeking to compete in the AI and analytics age. However, their perceptions of ...

Clinical trials can often take between six and seven years to complete, but that timeline isn’t always practical for the problems pharmaceutical companies are trying to solve. Additionally, six years ...