Source: polinaloves/Technology/Adobe Stock. Usage of wearable technology continues to grow year-over-year. Like many technology categories, these devices satisfy use cases that consumers were already looking…
Source: bagi1998/iStock/Getty images. A third of surveyed organizations have adopted generative AI for data science and analytics projects, according to a recent S&P Global Market Intelligence…
Decentralized identity refers to a digital identity framework where an individual or device is responsible for their own identity and credentials. Often termed “self-sovereign identity,”…
Data science platforms are key software stacks that enable organizations to become more data driven, according to results from 451 Research’s Data & Analytics, Data…
Decision intelligence puts a new spin on a “data-driven” approach as it taps heavily into machine learning (ML) to inform business decisions. Although fairly nascent,…
The transition to making business decisions using data, rather than by gut instinct and experience alone, makes analytics projects as relevant as ever — without…
The take Our surveys in data management and analytics over the past two years have suggested a growing divide between organizations that doubled down on…
Ensuring data quality is mission-critical for organizations to achieve insightful analysis that aligns with their business strategies. A preventive approach calls for data observability, a…
Few players remain standing 10 years after the term NewSQL was first used to describe a new generation of relational database management players that came…
Automated and augmented approaches using machine learning (ML) are now a defining characteristic of data science and business intelligence, according to Matt Aslett, Research Director,…
