Dhubaib, head of AI and data science at Further, to explore how enterprises are using AI, data, and automation to unify customer experiences and remove friction across the life cycle.

Many organizations are feeling the pressure to “do something” with AI—driven in large part by the rapid rise of generative AI. Although traditional AI techniques such as machine learning have been ...

Data storytelling is the practice of building a narrative around a set of data and its accompanying visualizations to help convey the meaning of that data in a powerful and compelling fashion.

Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

The Business Intelligence Journal is an in-depth, unbiased information resource for data management and anlytics professionals. This quarterly publication provides fresh ideas and perspectives to help ...

I recently spoke in a webinar run by Informatica Corporation, sharing the stage with Informatica’s Scott Hedrick and Ron van Bruchem, a business architect at Rabobank. We three had an interactive ...

Data wrangling and preparation remain some of the most time-consuming steps in enterprise analytics, often slowing down the path from exploration to insight. Emerging AI agents together with ...

TDWI's Best Practices Awards program is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and maintaining BI and DW applications. Winners are chosen ...

Meet regularly with each other on a regional basis Share best practices in a small group setting Establish a strong network of peers Gain technical advice and career direction Everyone is welcome. We ...

As organizations prioritize data democratization and AI-driven analytics, ensuring high-quality, trustworthy data has never been more crucial. Data quality management is a continuous, complex process ...

I was recently on a group call along with several other analysts where IBMers spelled out their definition of big data. They structured the definition by explaining big data’s primary attributes, ...

TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...