Royal Cyber Summit

Ask the expert:
ServiceNow Predictive Intelligence

Louisville Marriott Downtown
July 28th | 3:00 pm – 4:30 pm CST

Predictive Intelligence in IT Operations

Reduce manual intervention, improve customer satisfaction, & elevate employee productivity

ServiceNow Predictive Intelligence is a powerful – yet, approachable and attainable — set of machine learning capabilities that effectively integrates with your ServiceNow work flows to enhance business efficiency and improve service.

Learn how to integrate ServiceNow Predictive Intelligence with custom workflows and applications to ease the process of ML adoption and make it more accessible to businesses. Unique features of this platform include:

  • Optimize resources, reduce costs
  • Increase fulfiller/requester productivity
  • Improve overall business efficiency
  • Develop and deploy quickly
Event Offer
Register Now &
Win AirPods & Get $35 Gift Card

ServiceNow Predictive FrameWork

Find Out More About:

  • Business challenges in developing and implementing ML models
  • Overview of ServiceNow Predictive Intelligence
  • Leveraging the Now Platform & Predictive Intelligence
  • Demo of Platform
Rahul Kumar Shandilya
Rahul Kumar Shandilya

Technical Architect at Royal Cyber Inc.

Attend our session to learn how in service-focused departments including IT, HR, and customer service, agents spend a large percentage of their time performing mundane, low-value work like categorising or prioritising requests, searching for similar incidents and cases, and finding the right team to handle the work. These manual steps introduce human error, slow down resolution time, and ultimately lower customer satisfaction. In our demo we will showcase how to tackle all the business challenges using ServiceNow platform.

*Terms & Conditions Apply (All attendees are receive the $35 gift card)

Event Offer
Register Now &
Win AirPods & Get $35 Gift Card

When & Where?

Louisville Marriott Downtown
280 West Jefferson, Louisville, Kentucky, USA, 40202
July 28th, 2022
3:00 pm – 4:30 pm CST

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