The term “democratizing data” has been gaining traction in recent years, but what does it truly mean? Without question, it refers to making data accessible to all individuals within an organization, ...

When it comes to data analytics, machines should be doing the heavy lifting. More and more businesses rely on data analytics to make smarter, more informed business decisions and to stay on top of ...

In this special guest feature, Christian Anschuetz, Chief Digital Officer at UL, discusses his belief that data will “democratize” business decisions, leading to better decision-making, new business ...

Is artificial intelligence leading to the decline or the rebirth of business intelligence? Front-end business intelligence and data analytics tools ruled the markets for years. Now, AI is changing all ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Dr. Eric Topol's newest book is called "The Patient Will See You Now." At BIO during his keynote talk, a whirlwind overview of the digital health space, Topol freely acknowledged that he wasn't the ...

Data accessibility, though crucial for maximizing data’s value, comes with a laundry list of requirements. From striking the balance between openness and compliance to establishing proper access ...

Reliable, secure, self-service access to trustworthy, clean data is at the center of alleviating the data teams burdened by data requests. While self-service data access is straightforward in theory, ...

FREMONT, Calif.--(BUSINESS WIRE)--Observo AI, an AI-native data pipeline company solving data sprawl and exponentially rising costs in observability and security, today announced the general ...

When I became a first-time mom, my perspective on the products my family used changed completely. As a data scientist, I naturally dive deep into the details; now I was suddenly applying this rigor to ...

Hospitals and health systems often struggle to establish a data-driven culture due to such challenges as fragmented data sources, outdated infrastructure, the complexity of healthcare regulations, and ...