Five essential strategies to reduce costs, avoid licensing risk, simplify operations, and future-proof your data infrastructure for the AI era.

As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

Imagine you are looking for a Caribbean vacation. There is a luxury resort brand you love, and you want to compare availability, prices, and amenities across locations. You could do your research ...

The Office of Management and Budget in 2020 and 2021 teamed with agency chief information officers and chief data officers to issue the federal data strategy and action plans, laying out a 10-year ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Privacy-first practices. Embrace privacy-first data strategies to build trust and adapt to evolving regulations like GDPR and CCPA. AI-driven insights. Use AI and ...

Strategy Mosaic™ is a game-changing data management solution that lets businesses connect, govern, and leverage all their data – across any platform, any cloud, and any application – without costly ...

Many B2B marketers are operating in a data vacuum, making critical decisions without a clear view of what “good” actually looks like. They are the strategic architects of their company’s growth engine ...

Qualcomm's (QCOM) data center strategy has the potential to create a $5B to $7B revenue opportunity by 2027, prompting Wells Fargo to upgrade the stock to Equal-weight from Underweight. The bank also ...