Auraya will be a proud sponsor of the Customer Contact Week Australia 2020 event in Gold Coast next year with co-founder and managing director Ray Doak and chief executive officer Paul Magee in attendance. The team at Auraya will also be exhibiting during the conference event so don’t forget to visit during the exhibition showcase!
The event will run from February 25 to February 28 in 2020 and will be held at the STAR in Gold Coast, Queensland. The event provides a roadmap and tools for attendees to adapt their People, Processes, Technology and Customer Service Delivery strategies towards a new frontier. Pioneering organisations are brought together to discuss how we can successfully navigate the change and transformation of contact centres into a unified customer experience hub that will forever change the way customers connect.
If you’d like to meet and chat with Paul and Ray during this event, send us an email to organise a meeting on the day!
Event: Customer Contact Week Australia 2020
Presented by: IQPC
Location: The STAR, Gold Coast
Date: February 25 to February 28, 2020
Time: 8.00AM to 7.00PM
Auraya is a world leader in voice biometric technology with the mission of empowering people and organisations to interact and engage with convenience and security in all channels and languages.
Auraya has developed the next-generation voice biometrics technology that delivers an easy to use yet highly secure authentication capability. Auraya provides its technology to a global network of partners that incorporate Auraya’s voice biometric engine, ArmorVox™, into their secure, customer-facing applications and fraud detection solutions. The ecosystem of partners delivers solutions in all industries including government, education, healthcare, financial services, retail services and telecommunications.
ArmorVox is Auraya’s next-generation voice biometric engine designed for telephony and digital channel implementations. ArmorVox allows partners to provide frictionless and seamless customer experience and improved digital security using machine learning algorithms and patented features such as automated tuning process, speaker-specific thresholds and background models, impostor mapping, synthetic voice detection and voice collection process from browsers.