From Insight to Action: The Path to Operational Excellence Through Data
Achieving operational excellence through data-driven strategies demands more than just technological upgrades; it necessitates a comprehensive approach …
Topic: Analytics
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Four Kinds of Software to Process Streaming Data in Real Time
A look at the four kinds of software that perform real-time analytics on event streams and when to use
GenAI: Redefining Data-Driven Transformations
A disciplined approach to data engineering is the foundation of an effective GenAI strategy, which is needed to enable data-driven transformation.
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 …
Digital Twin Efforts Best Shared, US Government Agencies Told
The lack of standards in data generation and sharing hinders the interoperability of data required for digital twins. That and other factors make a …
It’s Time to Stop Treating Predictive Analytics as Data Science Projects
Rather than focusing on data science metrics, predictive analytics efforts must be tied to business
Enabling IT/OT Convergence and Its Many Benefits
As IoT and enterprise connectivity become more entrenched in manufacturing environments, the vision of IT/OT convergence is becoming a
The State of Manufacturing 2024: It’s Digital All the Way
Expanded use of digital technologies like IoT, enterprise connectivity, and analytics is the key to addressing the major challenges manufacturers face in
Gartner Data & Analytics Summit Delivers on GenAI
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 …
Using AI to Determine What Predictive Models Will Actually Solve Your Problems
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