AI for Customer Service: How to Improve Contact Center Efficiency with Machine Learning

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About the webinar

It only takes one bad interaction for a customer to abandon a service or product. Businesses are no longer just competing with other companies’ products, they’re competing with a customer’s last service experience.

All contact centers worldwide are looking for new and strategic ways to increase operational performance, reduce cost and still provide high-touch customer experiences that improve customer loyalty and highlight ways to increase revenue and productivity.

Through this webinar, we will understand how AI can augment the effort, focus and problem-solving abilities of human agents so that they can tackle more complex or creative tasks. With an abundance of data from logs, emails, chat and voice recordings, contact centers can ingest this data to provide contextual customer service at the right time with the right way providing satisfactory customer service and retain the brand value.

What you will learn

How organizations are building engaging interactions that deliver value to customers

Best practices to automate AI/ML models

Demo: How to route customer queries to the right department or professional

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Speaker(s) & Panelist(s):

speaker

Nisha Shoukath

Co-founder and COO at Skyl.ai

COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.

speaker

Shruti Tanwar

Lead - Data Science

Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.

speaker

Bikash Kumar Sharma

Chief Technology Officer at Skyl.ai

CTO & Software Architect with close to 15 years of experience whose passion lies in building great products while enabling others to perform their roles more effectively. Lead at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.