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TechWeek2021

Integrating AI into your Contact Centre

A smooth customer experience is key to maintaining loyalty. Explore how you can make this a reality in your Contact Centre by integrating AI.

Register

Wednesday 26 May
1:00pm - 2:00pm

VIRTUAL

LOCATION:
Auckland
Free event
TechWeek2021

What's it all about?

One of the key success factors in customer loyalty is their experience at support time. In this digital age, people expect fast, even 24/7 customer service when there’s an issue with their product or service. The biggest barrier to this are the limited availability of support staff and unpredictable surging in volume, due to unprecedented events.

This webinar session will explore how you can embark on bringing an artificial intelligence into your contact centre to enhance, and not diminish, the experience for customers and your support staff. We will explore the:

- Different forms of AI you can bring into your contact centre

- Factors that lead to successful implementation

- Case studies around the world where they have been successful

- Tools and platforms you can leverage to build these virtual agents

With advances in natural language understanding, integrations into service desk platforms and phone systems, and speech recognition/synthesis, there is no better time to begin looking for opportunities to augment your contact centre with an AI.

We look forward to you joining our webinar!

- The Spark 64 Team

enquiries@spark64.com

Spark 64 is an applied AI agency, specialising in helping businesses leverage AI for optimal value. We have supported many businesses to explore and implement Conversational AI in their systems, including Southern Cross Health Society, The University of Auckland and numerous other healthcare, insurance and entertainment organisations in NZ, USA, Australia and Japan. 

View the event website for more information.

Speakers

Dr Ming Cheuk

CTO

Ming is the co-founder and CTO of Spark 64, an applied Artificial Intelligence agency. He is a Google-certified Cloud Architect with a solid background in Mechatronics Engineering. Ming has extensive experience in designing and deploying AI to enterprise environments in New Zealand and overseas.

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  • Artificial Intelligence
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