Joe McKendrick

MIT CISR study: Companies operating in “real-time-ness” had more than 62% higher revenue growth and 97% higher profit margins than their slower counterparts.

The Stanford study looked at AI’s emerging role in four areas: radiology reports, patient questions, progress notes and doctor–patient dialogue.

Companies can now gather real-world data more quickly and affordably than ever before and make it accessible to a broader range of applications.

A peek at some real-world applications where real-time analytics provides the insights for intelligent decision making.

All of the organizations using AI report they have experienced benefits from embedding AI within their operations. Application areas with the greatest adoption rate include using AI for improved safety and increased employee productivity.

To the company, AI means “advisor intelligence,” and this is at the core of its initiatives to increase the quality of real-time customer conversations.

This technology may be helpful for people attempting to communicate at noisy locations or events such as factories, conferences, or busy restaurants.

Generative AI is increasingly being used in industrial settings to add adaptability and greater intelligence to automated workflows and human-robotic interactions.

Similar to what has happened with autonomous vehicles, lights-out factories are close, but more still needs to be done.

Digital twins and generative AI each have demonstrated their value across a wide range of use cases. Together, they serve to boost each other’s standing.

Embedding Generative AI into supply chains isn’t just a technology project, it also requires a profound shift in the way organizations think about creating value and getting work done.

Rather than displacing workers, employment will only grow with the adoption of these technologies.