How AI-driven Quality Monitoring is Providing Agile Customer Experience
On Demand Webinar

Tuesday, December 1, 2020 | 2:00 p.m. EST

Presenting:

Sheila McGee-Smith
President & Principal Analyst
McGee-Smith Analytics, L.L.C.
Lauren Maschio
Sr. Product Marketing Manager
NICE Nexidia

Presenting:

Jane Cummins
Head of Strategy & Change, Direct Service, AIB

Presenting:

Jane Cummins
Head of Strategy & Change, Direct Service, AIB

The benefits of applying artificial intelligence and machine learning (AI and ML) to quality monitoring have increasingly been understood and realized for the past few years. Solution providers have been working to apply these emerging technologies to what is for contact centers a critical component of delivering ever-better customer experience. At the same time, forward thinking companies have adopted quality monitoring solutions that incorporate AI and ML with measurable results.

Then came the challenges of 2020. Companies that for years had been able to depend on historical solutions and procedures to maintain quality in their contact centers were faced with unprecedented agent shortages, interaction volume explosions and often the need to hire, train and coach agents with a speed never before contemplated.

Join distinguished contact center industry analyst and strategist Sheila McGee-Smith and NICE’s Lauren Maschio, Sr. Product Marketing Manager, to learn:

  • Why today’s digital-first approach by customers and companies requires new quality management methodology.
  • How analytics and natural language processing has been proven to provide the agility required to respond to local or global catastrophic events.
  • What additional improvements in QM applications are on the horizon with increased incorporation of artificial intelligence. 


Register for the On Demand Webinar

Lorem ipsum dolor sit amet, consectetur adipisicing elit. Voluptate aperiam, est temporibus esse quisquam incidunt reprehenderit veniam mollitia inventore voluptatibus non assumenda tempora, dolorum fugit modi quam a magni, maxime.