Using Real-Time Data to Build Resilient Supply Chains

Using Real-Time Data to Build Resilient Supply Chains

Real-time data is the key to having a supply chain that can accommodate rapid shifts in purchasing patterns, such as those that occurred during the pandemic.

Written By
David Curry
David Curry
Aug 10, 2020

The U.S. China trade war, Brexit, and COVID-19 have all caused major disruption for all types of businesses. For those without real-time management of their supply chain, the last few months was most likely a roller-coaster of emergencies. That was the focus of a recent webinar presented by RTInsights and TIBCO.

Even businesses with automated systems suffered, as AI systems struggled to comprehend the wild changes in demand due to coronavirus. Some models required manual course correction, and others without constant human oversight may still be experiencing drift.

SEE ALSO: Is Your AI Model Still Accurate After the Coronavirus Pandemic?

“The lessons learned from COVID is purchasing intentions can change overnight,” said RTIsights analyst Joe McKendrick. “Many supply chain systems may not be ready for the rapid shifts in purchasing patterns, without having real-time data telling them what’s happening on the ground, and consistent human engagement.”

In the webinar, TIBCO general manager for analytics, data science, and virtualization, Mark Palmer, talks about implementing a supply chain management nervous system, which is able to continue to function even though a global pandemic.

Businesses collect an overwhelming amount of data, but many are beset by what to do with it. Data warehouses and lakes often turn into silos without proper quality assurance and governance. In a Gartner webinar, data quality was considered one of the key challenges preventing AI adoption.

“For years people have been putting supply chain data into various systems,” said Palmer. “Unfortunately, people have a lot of them and there’s tons of ETL use to move the data around. However, in the last five years, we’ve seen a huge uptick in virtualizing that data. Leave it where it is, create an abstracted view of that data, and let the applications access it. The important part of that it makes you go more quickly, it democratizes access to data, but does it in a way that’s safe and secure and scalable.”

To watch the TIBCO webinar on demand, register here.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

Recommended for you...

In The Face of Tariffs and Trade Wars, Optimize Your Business With AI
Sebastian Rau
Aug 31, 2025
Boosting Supply Chain Management Through Analytics: A Deep Dive
Nick Fryer
Feb 27, 2025
Supply Chain Excellence: Modernizing Technology for Improved Trading Partner Collaboration
Valerie Blatt
Sep 28, 2024
Baltimore Bridge Collapse: The Urgent Need for Real-Time Supply Chain Interoperability
Sumit Mittal
Apr 17, 2024

Featured Resources from Cloud Data Insights

AI-Powered Network-as-a-Service: Enabling “Lights Out” Networking for the AI Era
Jim Sullivan
Apr 2, 2026
The Industry is Designing AI for Machines, Not for Humans. That is Not a Mistake.
Onur Alp Soner
Apr 1, 2026
Why Unstructured Data Will Decide Whether AI Delivers Real Value in 2026
Nick Burling
Mar 31, 2026
AI Grows Up: Enterprise Priorities Beyond Experimentation
Chris Bonavita
Mar 30, 2026
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.