Building the Cognitive Enterprise
The combined impact of AI, blockchain, automation, Internet of Things, 5G, and edge computing is reshaping standard business architectures.
Today’s companies are focused on the hyper personalization of the customer experience, using their own data to drive insights and enhance their business performance. We call this phenomenon of using data to target customers and understand their preferences the “cognitive enterprise.”
But data is just the beginning. To build a cognitive enterprise, companies need a clear understanding of the end to end busines processes that underlie the business. The question is, using data and AI and advanced analytics, how can you automate these workflows to make them more efficient and more intelligent?
Because of the complexity of the application landscape and the platforms that govern these end-to-end workflows, most of our customers use more than one cloud. Added to that are legacy apps to modernize, as well as APIs and microservices that must be implemented in the multiple cloud environment. Furthermore, a skilled, adaptable workforce is required – people who are open to innovating and working in an agile fashion. All of these layers are part of building the cognitive enterprise.
At Think Summit 2020, we heard from two leaders who shared how they are working with IBM to reimagine business models and operations while successfully engaging employees, customers, suppliers and partners.
Tune into these one on one interview replays and hear these stories for yourself:
- LOBLAW: David Markwell, Senior Vice President, Loblaw Technology
Founded in 1919, Loblaw is a $48 billion business that spans grocery, digital healthcare, ecommerce, and financial services. According to David Markwell, demand for many of Loblaw’s services surged during COVID-19, which validated their investment in cognitive future-proofing the enterprise. IBM and Loblaw have partnered to modernize Loblaw’s enterprise applications with a flexible infrastructure that consists of IBM software running on an IBM platform in the IBM cloud, managed by IBM services. Markwell says modernizing their infrastructure is driving speed to market, value, and innovation – while improving overall efficiency, scalability, and resiliency.
- NUTRIEN: Debasis (DB) Bhaumik, Vice President, Information Technology, Nutrien
A $29 billion company, Nutrien is the largest producer of potash and third largest producer of nitrogen fertilizer in the world. Nutrien has successfully adopted a “startup” approach to unlock the value of data through AI or analytics. Unlike a traditional approach, the data-driven, startup mindset takes a problem and breaks it into smaller pieces, then adds value over weeks or months to evolve the solution. According to DB Bhaumik, this nimble, “one team” approach is a daily, iterative, data-driven, process that frees team members to experiment, critique and build on previous versions to arrive at a outstanding solution in weeks or months instead of years.
While there is no fixed roadmap for building the cognitive enterprise, IBM can help you design a blueprint to reimagine your business. To learn more read Building the Cognitive Enterprise Core Concepts report and visit The Cognitive Enterprise site.
By Patrick Antoine, Vice President & Partner, Enterprise Strategy and iX Leader, IBM Canada