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On Demand Webinar

Bring Automation to Technical and Field Support with the Latest AI Advancements

Customer support today is mission critical but expensive. TSIA data shows average labor cost for incidents resolved remotely is $124, and on-site incidents average $430. Customers expect instant, accurate answers and rapid resolutions, but with complex products and fragmented ever-changing reference data, and using existing technologies like search, support remains time-consuming and manual. Emerging platforms now solve this problem with automation using the latest AI advancements: deep learning, natural language processing, and computer vision.

In this webinar, TSIA and Quark.ai will show how to provide multichannel self-service to customers and skyrocket the productivity of your support staff with instant answers to support issues directly from your reference documents, including both structured and unstructured information.

The webinar will cover the following:

  • A technology overview of deep learning, natural language processing, and computer vision.
  • How to apply these technologies to drive support automation and get ROI in less than six months.
  • The risks and challenges of such projects.
  • The Quark.ai Answer Engine, the building block for automation.
  • How to accomplish multichannel self-service over chat, voice, and email.
  • A customer showcase featuring Nutanix, who will share how it has benefited from AI.

Learn also about where proactive and preemptive support automation is heading—Autonomous Support 2.0.


Presented By:

John Ragsdale

Distinguished Researcher, VP Technology Ecosystems, TSIA

Prosenjit Sen

Co-founder and CEO, Quark.ai

Manish Kumar

Senior Director, Nutanix

Publish Date: February 9, 2023