The path to enterprise AI maturity runs directly through data . To build AI-ready data platforms - you need architecture, ...

Considered the next big thing in GenAI, AI agents have the ability to act independently based on the underlying data they are ...

Data Quality, Data Governance and MDM Trends, one of DBTA's latest webinars, data management experts examined the current best practices and key solutions for modernizing data management, as well as ...

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable… ...

Detection involves recognizing patterns in data that deviate from the norm – a technique widely used by businesses to boost productivity and safety measures. In one enterprise IoT initiative I led for ...

On the off-chance you're reading this but aren't familiar with Axon, Enterprise is the outfit behind ... and so is the industry. While data from the Police Executive Research Forum suggests ...

Michela Buttignol / Investopedia Enterprise risk management (ERM ... systems should be able to capture data useful to management to better understand the company’s risk profile and risk management.

As data becomes ... operational database management, taking on existing relational database services, including Amazon’s RDS. “Tessell is a tessellation of enterprise data,” said co-founder ...

It’s no secret that AI models are thirsty beasts. From the most simple to the most complex models, the basic “data in, d ...

Like most, your enterprise ... Getting the right data governance significantly affects operational efficiency and risk as well. According to Gartner, lack of data management practices and rigor ...

During this decade, data has become an important tool in enterprise decision-making ... share and exchange data while ensuring the appropriate infrastructure and data management controls are in place.