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From Silos to Synergy: How Sales and CS Alignment Unlocks Revenue Growth

Totango

Chris Dishman Stop guessing, start growing: The customer success metrics that matter If you’re only tracking metrics like usage or churn, then you’re only seeing a small piece of the puzzle. When you track outcome-based metrics that help prove value to your customers, then you can proactively identify areas for growth and expansion.

Sales 97
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Cisco Brings the Power of the Cloud and AI to Contact Centers with Release 12.5

Cisco - Contact Center

Many of our customers across the globe and from many industries have shared with us their struggle to balance the need for innovation with cloud-based capabilities powered by artificial intelligence (AI) to stay competitive while maximizing their valuable on-premises contact center investments in people, process, and technology.

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Cisco Receives 2020 Contact Center Technology Award from CUSTOMER Magazine

Cisco - Contact Center

This open platform architecture enables our customers to easily add and integrate with advanced cloud applications such as AI-based virtual agents, advanced data analytics, workforce optimization, and other Webex applications, including Webex Experience Management, Webex Calling, and Webex Control Hub.

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How to Handle High Call Volume: 10 Strategies for Success in Sales and Contact Centres

JustCall

A surge in call volume is always good news for your business. It shows more customers are interested in your product or service. But, it also leads to chaotic calls and handling long call queues for customer support and sales teams. So, how do you manage call surges during unanticipated high-traffic periods?

Sales 52
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Cisco Contact Center Portfolio: Revolutionizing Customer and Agent Experiences

Cisco - Contact Center

Integration of new cognitive capabilities powered by Voicea and Google Cloud’s Contact Center AI that turn your agents into “super agents”. This is why Cisco is focused on making life easier and more productive for your agents by infusing artificial intelligence into their everyday experiences. Announcement Highlights.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Company earnings calls are crucial events that provide transparency into a company’s financial health and prospects. Earnings calls also allow investors to look for new clues about a company’s future.