Four Intelligent Automation Methodologies – One Objective
The methodologies are complementary, have commonalities, require different skills, and should be part of the overall meta-iterations within a concerted digital …
Topic: From Our Experts
Top articles from our RTInsights Experts
Why People Are Key to Industry 4.0 Success
Companies are addressing Industry 4.0 skills gaps in their workforce and adopting more agile practices to mimic startups.
How New Technologies May Impact Online Conversion Optimization
Artificial intelligence and machine learning could revolutionize the way that businesses do
Auto Industry Drives The Smart Factories Movement
The study found that when it comes to smart factories, the auto industry is more bullish than its peers in
The Curious Case of Data Annotation and AI
Data annotation takes time. And for in-house teams, labeling data can be the proverbial bottleneck, limiting a company's ability to quickly train and validate …
AI: Finding the Fraud Needle in the Big Data Haystack
A systematic AI approach used against fraud, waste, and abuse not only uncovers specific instances, but often provides additional
Overcoming the Barriers to Successfully Scaling AI
AI is becoming a technological norm to advance and modernize existing digital infrastructure, now the real question is, “what’s standing in my
How Privacy Trends Will Shape the Next Decade of IoT
The governing regulations over the use of data and who has access to it will change the landscape of how we move about in the online world.
Operationalize AI in Real Time with Streaming Analytics
The AI Ladder, along with CRISP-DM, provides a strategic approach to creating CI applications on real time
Machine Learning vs. Deep Learning. Which Does Your Business Need?
Deep learning is capable of incredible things, but if you are working with mostly structured data for straightforward purposes, Machine Learning can be a much …