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New Cognigy Guide Demystifies How Generative AI Will Transform Customer Service


eBook Explains How to Achieve Next-Gen Customer Interactions Using Generative AI (GPT) with Concrete Use Cases and Explanations, Defines How Roles and Responsibilities Will Change

Cognigy’s new eBook “Generative AI for Contact Centers” details how to achieve next-gen customer interactions using Generative AI. The eBook provides concrete use cases and explanations – and defines how Contact Center roles and responsibilities will change.

Delivering the best possible customer experience (CX) is critical to an organizations’ future ability to survive. But, while the high-level benefits are clear, the large majority of global contact centers lag behind in adoption of customer service automation technologies – including Generative AI, or Large Language Models (LLMs) – that will drive them forward.

In support of its ongoing charter to empower enterprises with effortless and hyper-personalized customer service, Conversational AI leader Cognigy announced the release of a new eBook, titled, “Generative AI for Contact Centers.” The eBook is focused on empowering businesses to provide unparalleled service experiences – by making AI easy and accessible.

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“The conversational capability of the AI Agents that are created when Generative and Conversational AI are coupled seems like magic,” said Philipp Heltewig, co-founder and CEO at Cognigy. “The combination of these two technologies creates conversational experiences that go way beyond anything we’ve seen before, resulting in conversations between humans and AI that are completely natural.”

For contact centers considering the move to AI, Cognigy advises that the combination of Generative AI with traditional Conversational AI can deliver value that extends far beyond what each component can deliver alone. While Generative AI’s groundbreaking ability to generate natural, contextual, and personalized responses is undisputed – it is not designed (or ready for) standalone use. Instead, it is a powerful addition to an existing customer service solution. The eBook highlights the strengths and weaknesses of both AI technologies – and outlines the benefits of using them together in a contact center or customer experience initiative.

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“Our goal with this eBook is to demystify the magic of AI and help our customers understand how they can apply this technology today, highlighting not just the magic, but also the associated risks, especially in an enterprise environment,” noted Heltewig.

Cognigy’s new educational eBook dives into the business impact that Generative AI will have on a variety of roles within a customer service team, including:

  • Front-line Contact Center Agents
  • Conversation Designers/Bot Designers
  • Heads of Conversational AI
  • Digital Assistants
  • Contact Center Managers

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Cognigy’s eBook also gives insights into:

  • Knowledge AI – The need for conversational agents that can communicate at near human levels but can also access up-to-date and accurate information. Focus is placed on the role Knowledge AI – a combination of NLU, vector search and LLMs – plays in making this ‘holy grail’ of customer service a reality.
  • AI Agents – Generative AI’s ability to enhance Conversational AI and enable chatbots to handle more complex and nuanced interactions. For example, AI Agents powered by Generative AI can understand the meaning behind customer inquiries and generate responses that are tailored to the customer’s specific needs and preferences.
  • Predictions and Costs – The most likely near-future developments and outcomes in the field of Generative AI, and how these developments may affect the customer experience. The accelerated democratization of truly powerful AI and the impact this will have on costs and accessibility is discussed.

[To share your insights with us, please write to sghosh@martechseries.com]

Leah Sirama
Leah Sirama
Leah Sirama, a lifelong enthusiast of Artificial Intelligence, has been exploring technology and the digital realm since childhood. Known for his creative thinking, he's dedicated to improving AI experiences for all, making him a respected figure in the field. His passion, curiosity, and creativity drive advancements in the AI world.
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