Redundant data, wrong data, missing data, miscoded data. Every company has some of each, probably residing in IT nooks that don’t communicate much. It’s not a new problem, but these days the jumble ...

Data is the lifeblood of modern business, but for commercial-sized companies, managing and leveraging data can feel like navigating a maze. But what if there was a way to simplify the journey and ...

To fuel the future of AI, organizations must unlock data at scale—without compromising on trust, security, or compliance. But breaking down data silos is just the beginning. Join industry leaders from ...

From EHRs to diversion prevention platforms, health systems nationwide have invested abundantly in data-capture and decision-support systems. Unfortunately, information silos from supply chain ...

The first data strategy implementation plan issued by the Pentagon’s lead IT office seeks nothing less than to break down the myriad and storied walls that keep information from flowing freely and ...

Agentic AI will transform how work gets done—but only if it runs on trusted, unified real-time data. The leaders are building ...

Data has always been crucial for marketing technology (martech) applications. After all, without data, what do you have? With AI's ability to unlock the true potential of your existing data silos, you ...

Razorfish launched a new technology called R-Index that measures disparate online and offline customer interactions (including for paid and owned interactions) and generates prescriptive insights on ...

Data fabric is a type of architecture that aims to provide unified access to the data stored in various places across your organization. The data fabric concept recognizes that most enterprises aren’t ...

As healthcare organizations continue to evaluate and advance their technology, true interoperability remains a persistent challenge. Health systems are increasingly looking for opportunities to create ...

The framework is designed to facilitate the creation, exchange and use of security assessment information in machine-readable ...