Operationalizing AI Drives Insights-Based System Behavior
Operationalizing AI depends on a mature infrastructure, highly skilled staff, and elimination of data silos. When these are achieved, companies can personalize …
Topic: From Our Experts
Top articles from our RTInsights Experts
Using a Semantic Layer to Propel a Data-Driven Culture
A semantic layer lets organizations connect data warehouses, data lakes, and data lakehouses to an existing data ecosystem to ensure their continued relevance …
How Image Annotation is Leading the Way in ML and AI
Without advanced image annotation techniques, it is not possible to overcome the hurdle of preparing an AI-based automated system to tag images or recognize …
Why Relying on IT for Data Analytics Is a Mistake
By asking your IT department to implement data analytics, you are asking them to take the focus off of what they are trained to do and dabble into new areas of …
Retailers Expand Deployment of Cashierless Shopping
Cashierless systems leverage a suite of technologies including sensors, image analysis, and AI to make transactions frictionless.
Local AI: Lower-Power Analytics for the Smartphone Era
Untethering compute from the cloud allows the broadening of AI’s reach. And it speeds up response time by reducing the lag caused by communicating with …
Whether Ghostbusting or Analyzing Data: Cross the Streams
Harnessing data streams — joining both batch and real-time events — empowers data scientists and analysts to address sophisticated
3 Key Steps to a Modernized Data Analytics Architecture
Building a data analytics platform that can scale across clouds is crucial to enabling any business user to answer any question at any time against any data.
Overcome Complexity to Provide Excellent Service Management
Employing AI for service management and IT operations (AIOps) – a combination referred to as ServiceOps – can lead to great operational
5 Ways to Optimize Your Supply Chain with Analytics
Analyzing aggregated data from different supply chain sources can give organizations a comprehensive view of their logistics networks.