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Introduction to Responsible AI: Unpacking the harms

Callminer

The latest in our Responsible AI blog series, the CallMiner Research Lab explores two of the main categories of harms that AI outputs can cause: Harms of Allocation and Harms of Representation.

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What a category is and why it's important

Callminer

In AI research, we focus a lot of energy on the concept of a category. This blog breaks down what a category is and how we are researching it.

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What does ChatGPT mean for the contact centre?

Eptica

Published on: July 14, 2023 Author: Steve Nattress Everyone knows about the abilities of ChatGPT and other generative AI engines – but what does it mean for customer service? Read the views of AI experts from our parent company Enghouse Interactive in our new blog post.

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The 6 benefits of chatbots for housing associations

Eptica

Author: Pauline Ashenden - Demand Generation Manager As housing association tenants increasingly embrace digital channels, AI-powered chatbots provide a new way of engaging with customers and meeting their needs. Our latest blog explores the 6 key benefits chatbots deliver, while outlining best practice for ensuring ROI.

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New year, new CS: 2023 recap and what’s to come in 2024

Totango

With Totango, businesses can integrate data to get a 360° view of customer health, collaborate to manage their customer portfolio , engage with customers when and where it matters, monitor and improve the metrics that matter , and scale CS faster with the power of people + AI.

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How self-service is evolving and how to deploy it

Eptica

Author: Pauline Ashenden - Demand Generation Manager 91% of contact centres now have some form of self-service in place for customers according to the ContactBabel Inner Circle Guide to AI-powered Self-Service. Our latest blog discusses how self-service is evolving and explains best practice for successful deployments.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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