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Modern Platform for Always-On Digital Retail


Retail has become truly digital. Customers demand frictionless always-on experiences across all devices and all channels. Trends such as Touchless Retail and Buy-Online Pick-up Curbside or in-store are only accelerating in the current environment. At the same time, technologies such as Edge Computing, Machine Learning, and Augmented Reality are driving innovation and disruption.

To meet these challenges, retailers must rethink their architectures and applications. They must adopt a boundaryless, integrated digital architecture that works seamlessly from Edge to Cloud to Data Center.

IBM, Intel, and Hazelcast are working together to deliver integrated solutions to meet these challenges. In this webinar, they will discuss the Modern Digital Platform that meets these needs, leveraging In-Memory Computing, Cognitive and Edge Computing, and Innovative hardware advances such as Intel Optane Persistent Memory to deliver a platform that is easy to operate and always-on. Topics will include top use-cases such as Touchless Retail, Smart Kiosk/Vending, and Personalized Experiences and architectures to support them.

Presented By:

Sean Almeida
Sean Almeida
Global Sales Leader for CloudPaks

Sean has over 20 experience in IT. He is currently leading a global team of CloudPaks sales leaders whose mission is to bring the best of IBM, Red Hat and our ecosystem partners together so as to unlock the value of the hybrid cloud platforms for your business.

Christopher A. Timmins
Christopher A. Timmins
Director of Marketing, Internet of Things Retail Segment

As a 20-year tech vet, Chris has held multiple global positions within Intel. He currently owns building partnerships with IoT companies. From supply chain, building startups, and nurturing ecosystems around open source, Chris’ efforts have positively impacted many aspects of the industry.

John DesJardins
John DesJardins

John DesJardins is currently CTO  at Hazelcast, where he is championing the growth of our Developer and Customer Community. His expertise in large scale computing spans Data Grids, Microservices, Cloud, Big Data, Internet of Things, and Machine Learning. He is an active blogger and speaker. John brings over 20 years of experience in architecting and implementing global scale computing solutions, including working with top Global 2000 companies while at Hazelcast, Cloudera, Software AG and webMethods. He holds a BS in Economics from George Mason University, where he first built predictive models, long before that was considered cool.