In this post, Ajay Agrawal, professor at Toronto's Rotman School of Management, discusses the challenges of unlocking the full potential of AI and ML for businesses and banks. Agrawal explains how the taxi industry in London, UK provides a cautionary tale of the potential impediments to driving value from AI,
As the world moves toward a low-carbon future, the power and utilities industry faces significant financial and reputational risks due to the potential stranding of resources and assets. This transition to carbon-free energy sources could render carbon-intensive assets – such as coal- and gas-fired power plants, coal mines and hydrocarbon
Dake IT uses augmented intelligence to build models for disease identification to help radiologists analyze scanned images. Medical imaging, such as x-rays and ultrasounds, is widely used across the medical community. From dentists and surgeons to oncologists, physicians everywhere rely on imaging to aid in diagnosing diseases, monitoring the spreading
Using machine learning to correlate factors and characteristics that appear gradually during childhood in people with autism spectrum disorder (ASD) in support to identify others at risk. How prevalent is ASD? Well, it depends on who you ask, but it’s generally accepted that 1-2.3% of children have been diagnosed. And
One of the reasons I got involved with the trustworthy AI movement is because automated systems enabled by our past will hurt people – at scale – if we aren’t careful. Worse yet, and from a personal perspective, it concerned me that if such systems were deployed in justice and
The word innovation often draws to mind images of self-driving cars, new phones, and shiny tech. Yet, innovation often happens behind the scenes, especially in advanced analytics. Around the world, industries like healthcare, government, banking, manufacturing, and more rely on the latest advancements in analytics. At SAS Explore, an event for
ChatGPT from OpenAI has changed how the general public thinks about AI. What does this mean for analytics practitioners?
The landscape of supply chains has changed rapidly due to unforeseen disruptions. These changes include supply chain bottlenecks, inflation and geopolitical activities across retail and consumer goods industries. Retail supply chains are under immense pressure to keep up with these rapid changes. Innovators have been quick to take advantage of
I’ve spent months traveling and speaking to business leaders worldwide about trustworthy AI and responsible innovation. On the nights I laid awake in unfamiliar hotel rooms, wishing my body clock would adjust faster than it was, I found joy in watching local television in local languages. While I don’t understand
More digital channels are bringing greater connectivity and more data is bringing added complexity to organizations. All this can feel chaotic or like a fog of information warfare. As a result, the pace of disruption and data expansion require visual tools that accelerate data wrangling and modeling. To overcome complexity,
