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発見し、つながり、成長する

Microsoft Reactor

Microsoft Reactor に参加し、スタートアップ企業や開発者とライブで関わる

AI を始める準備はできていますか?  Microsoft Reactor は、スタートアップ企業、起業家、開発者が AI テクノロジの上に次のビジネスを構築するのに役立つイベント、トレーニング、コミュニティ リソースを提供します。 ご参加ください。

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Contact Centre & Customer support

13 3月, 2023 | 3:00 午後 - 4:00 午後 (UTC) 協定世界時

  • 形式:
  • alt##Livestreamライブストリーム

トピック: コーディング、言語、およびフレームワーク

言語: 英語

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

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