Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

The widespread interest in AI for users’ personal and professional lives has driven significant demand for tools like Copilot for Microsoft 365. However, the implementation of any AI tool comes with ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

Throughout this project, Bowdoin will build on our current use of Workday to transition from discrete uses of various administrative systems to one single enterprise system. Establishing this ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

Selecting a supply chain planning and management technology provider is a complex process that can span months or years, and the relationship that develops may last a decade or more. A successful ...

Artificial intelligence is no longer just a buzzword; it's a transformative force reshaping industries, from healthcare to finance to retail. However, behind every successful AI system lies an ...

Data governance has had more than its fair share of spins through the hype cycle. It burst on the scene in the late 90s with metadata management as a seemingly silver bullet for making data actionable ...

Data governance plays a vital role in the entertainment industry, helping companies that apply best practices overcome challenges and strengthen risk management. The entertainment sector is one of the ...