How to Drive Superior Customer Experiences at Massive Scale with In-Memory Computing | Tech Mahindra

How to Drive Superior Customer Experiences at Massive Scale with In-Memory Computing

Objective

Growing customer traffic, the launch of new services, seasonal traffic spikes or a host of other load-related issues can slow down customer-facing applications, resulting in poor customer experiences.

In-memory computing offers a solution to overcome these performance-related challenges and deliver outstanding customer interactions. It can also enable seamless omnichannel customer engagement and power new business opportunities.

A Digital Integration Hub powered by in-memory computing can provide a high-performance data access layer where data from varied siloed datastores can power multiple business applications. Inserted between existing application and data layers, in-memory computing platforms can improve application performance by up to 100x and enable massive application scalability.

In this webinar, we will cover,

  • How to easily integrate in-memory computing with your existing applications and datastores
  • How powering customer-facing applications with in-memory computing can accelerate and create new business opportunities
  • How in-memory computing accelerates and scales out customer-facing applications to power massive customer usage
  • Digital transformation use cases powered by Digital Integration Hubs
Event Details

Our Speakers

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STALIN RAJKUMAR

Global Practice Head Enterprise Integration & Low-Code

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TERRY ERISMAN

EVP of Marketing & Alliances Grid Gain

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NIKITA IVANOV

Founder and CTO Grid Gain

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JAYANARAYAN MEHANATHAN

Senior Solution Architect Tech Mahindra

When

Thursday, 13 August 2020
Event Agenda
01
Welcome Note and TechM Partnership with GG
30 Aug 2020
02
The Role of In-Memory Computing in Digital Transformation
30 Aug 2020
03
In-Memory Computing Customer Use Case Examples
30 Aug 2020
04
How In-memory Computing Drives Application Performance
30 Aug 2020
05
Know how TechM can Transform your applications with In-memory & Closing Remarks
30 Aug 2020