Calling the Shots: Navigating Business Destiny with Data-Driven Strategies
The more digital a company becomes, the more data it accumulates, providing a foundation for informed decision-making, strategic planning, and sustained …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
The more digital a company becomes, the more data it accumulates, providing a foundation for informed decision-making, strategic planning, and sustained …
The lack of standards in data generation and sharing hinders the interoperability of data required for digital twins. That and other factors make a …
Rather than focusing on data science metrics, predictive analytics efforts must be tied to business
As IoT and enterprise connectivity become more entrenched in manufacturing environments, the vision of IT/OT convergence is becoming a
Expanded use of digital technologies like IoT, enterprise connectivity, and analytics is the key to addressing the major challenges manufacturers face in
While GenAI will be prominent at the Gartner Data & Analytics Summit, at least half the agenda is dedicated to traditional topics covering good data management …
Thoroughly exploring data with AI before a predictive model gets built is a way to be sure all the important factors in complex datasets will be
Quick answer: No, you don’t always need data in motion to operate in real time. However, some high volume/low latency real-time systems do use data in motion …
The personalized and participatory experiences introduced at the Las Vegas Super Bowl have set a new standard for fan
In this week's real-time analytics news: Cisco and NVIDIA will team up to deliver optimized infrastructure for demanding AI workloads.