이 이벤트는 다음의 일부입니다. Open AI UK Readiness Webinars Series.
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LEARN, CONNECT, BUILD
Microsoft Reactor
Microsoft Reactor에 가입하고 개발자와 라이브 참여
AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.
LEARN, CONNECT, BUILD
Microsoft Reactor
Microsoft Reactor에 가입하고 개발자와 라이브 참여
AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.
돌아가기
Contact Centre & Customer support
13 3월, 2023 | 3:00 오후 - 4:00 오후 (UTC) 협정 세계시
- 서식:
Livestream
항목: 코딩, 언어 및 프레임워크
언어: 영어
In this webinar, we'll showcase the capabilities of Azure OpenAI to help businesses innovate their contact centre and customer support operations. We'll explore how Azure OpenAI can be leveraged to improve customer engagement, reduce wait times, and enhance overall customer satisfaction.
Agenda:
Introduction: Setting the stage for the webinar by discussing the challenges businesses face in contact centre and customer support operations.
Overview of Azure OpenAI: A detailed explanation of Azure OpenAI and how it can be leveraged to innovate contact centre and customer support operations.
Improving Customer Engagement: Strategies and tools for improving customer engagement using Azure OpenAI.
Reducing Wait Times: Techniques for reducing wait times using Azure OpenAI, including chatbots and virtual assistants.
Enhancing Overall Customer Satisfaction: Best practices for enhancing overall customer satisfaction using Azure OpenAI.
Case Studies: Real-world examples of businesses that have successfully implemented Azure OpenAI in their contact centre and customer support operations.
Q&A: An opportunity for attendees to ask questions and receive further insights from the presenters.
Call centre Teams Live event talk track.
What are the problems that are keeping C-execs and all-upworkforce up at night
How is Azure OpenAI helping to address these challenges could you give me 3 or 4 examples.
Call centre productivity: Summarisation
Data Insights/Data Intelligence on customers. Enhancing and transforming
Reducing call times
What do the hard business benefits
Cost savings:
Increased NPS (Net promoter scoring)/Increased satisfaction
Unlocking vast operational efficiencies. Repurposing agents on high-value tasks.
Relationship between the AI and when the tasks are escalated to the human agent.
How do you see Azure Open AI integrate and compliment one another and most importantly what’s in it for the customer?
Once a customer lands the call centre analytics piece, how do you think they can unleash the value of that data?
Dashboard with call centre transcriptions
Cognitive search and actionable insights