There is a revolution underway in the oil and gas industry. This sector has decades of experience in collecting and analyzing all kinds of data — from seismic data to...
How will jurisdictions confidently and efficiently predict demand, order vaccines, and inoculate populations to meet their goals? Fortunately, there are proven practices, tools and technologies that can help organizations improve...
This CGI blog post explores how technology can address declining corporate client satisfaction in banking.
When it comes to AI implementation, the greatest challenges stem from organizational cultures, silo mentalities and old practices. This blog identifies five common AI implementation challenges, along with suggestions to...
For many years, one of the biggest challenges faced in tax administration was figuring out how to capture the data needed to effectively assess and collect taxes owed to the...
Data growth is providing endless opportunities to process and combine information to create new value chains. If data is the new gold, augmented reality (AR) is the shovel. Data visualization...
LEaRN is a smart community initiatives that pairs Louisiana Consolidated Government with the University of Louisiana at Lafayette and CGI. LEaRN is working to deploy 300 low-cost air quality sensors...
As data assets grow larger and more valuable in our digital world, managing data is also becoming more complex. As a result, two of the top governance challenges facing organizations...
CGI has been awarded the 2021 ISG Star of Excellence Award in the Technology segment for outstanding services. Out of more than 1,000 service providers, CGI was one of just ...
CGI’s Data2Diamonds brings vision, enterprise intelligence, engineering, and management to your organization’s data
To help a leading European mine, we created a 4D digital twin of the plant, enabling them to achieve higher maintenance efficiency and safety levels while reducing costs.
To help Uddeholm, a leading steel producer, we developed a powerful machine learning-based solution that helps to identify production errors, refine processes and improve profitability.
In a recent webinar we hosted with Swedish steel manufacturer Uddeholm, experts from both companies discuss how artificial intelligence (AI) can address sustainability challenges in manufacturing.
Using your best guess, what proportion of data-driven decision-making in your enterprise is focused on reducing errors and what proportion on identifying value-creating innovations?