How Wide Data, Not Big Data, Provides More Prescriptive Recommendations
For companies to effectively use their data for AI for predictive purposes, a variety of data, and especially wide data, must be
Topic: From Our Experts
Top articles from our RTInsights Experts
Artificial Intelligence Paves a Path to the Autonomous Enterprise, with a Caveat
The goal of using artificial intelligence in operations is to free IT teams up, to be bolder with their technology initiatives.
How to Break Down Information Silos and Why It Matters
Breaking down information silos can help solve problems faster by sharing experiences across teams. It can also increase innovation by pollinating ideas across …
Customer Journey: Speed to Insight is the Critical Metric
Consumers live moment to moment, and organizations must meet them every step of the way using insights to improve the customer journey.
Smart City Trends for 2022 Put People First
Leaders who actively bring citizens into the smart city conversation and consider the long-term impacts of solutions like AI have a better chance of success.
Data-Driven Conversation Analytics Key to B2B Digital Sales
Conversation analytics tools can automatically analyze customer and prospect conversations and enable sales teams to act quicker and
The Cloud-Native Path to Data Anywhere
Architecting with Kubernetes is the indispensable centerpiece that makes data analytics exceptionally flexible, running anywhere at the point of business …
AI in Manufacturing Is Driving Digital Transformation
As AI in manufacturing changes how machine health is monitored and managed, companies will need machine ops specialists to bridge the gap between operations …
6 Rules for Energizing the Data Behind Industrial AI
Companies must rein in big data to ensure their industrial AI systems are delivering the right insights at the right
How Graph Technology Combats Climate Change
Graph technology is being used to harness sustainable energy, boost energy efficiency, and combat climate