2024-03-29 Manufacturing generates enormous amounts of data and, as the industry becomes more connected, data volumes are only set to grow. Making sense of all this data to support data-driven decisions remains a complex challenge for several reasons.
2024-03-01 This CGI blog post discusses how generative AI can help banks to generate new revenue streams.
2023-10-23 In my work as a data scientist, I have a front seat view of the power of artificial intelligence (AI) in turning vast data into actionable insights—insights that transform how organizations operate and the outcomes they achieve. The potential and...
2023-10-18 Data is the lifeblood of any organization. It informs everything from business strategy to day-to-day operations. But, like water, data can become contaminated and unfit for use. As organizations increasingly rely on big data and intelligent automation to become data-driven...
2023-10-09 As organizations move fast toward the use of generative AI, much has been written about common considerations to keep in mind when exploring and implementing this promising technology. Yet, what is often missing in this dialogue are two important considerations...
2023-09-12 Businesses across industries generate and use large amounts of data to make strategic insights-led decisions and improve their operations. Within manufacturing, data is produced at every stage of the production process—from design and prototyping to production and quality control. However...
2023-08-31 As a data scientist and AI practitioner, I am excited to see so many positive AI use cases happening and being leveraged to bring quick information and insights to experts and business people – the potential of the rapidly evolving...
2023-05-25 There are several pressing reasons manufacturers need to act now to become data-driven organizations. But perhaps at the most fundamental level — data helps manufacturers become better at what they do. An MES ensures manufacturers have the right information and...
2023-04-25 Government and commercial health organizations realize that being data driven leads to better decisions and more impactful outcomes. It is critical for quality care, and is directly dependent on the interoperability of health data.