Exploiting Enterprise Generation Language for Business Oriented Developers
By: IBM Software Group View more from IBM Software Group >>
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Generative AI: Here to Save Customer Service, or End It?
By: Sabio
Type: eBook
Machine learning has developed from simply understanding language to what it now known as Generative AI which is a new concept that not only understands language but can also generate language and images.
In this article, you will take a deep dive into what Generative AI means for the future of the contact center and the customer experience. Additionally, you will see how when implemented the right way, AI can free up resources and allow agents to handle complex cases.
Read on to learn more about Generative AI and how it can help you address today’s key customer experience challenges.
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How to safely harness the potential of generative AI
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AI continues to have a transformative impact on various industries, being widely adopted for applications like fraud detection and process automation.
However, the spotlight is now on Generative AI, a machine learning subfield focused on creating novel outputs, which has been propelled by advancements in natural language processing and the development of large-scale, pre-trained language models.
But while the transformative potential of Generative AI technology is evident, businesses must exercise caution and prioritize human leadership when integrating Generative AI into their operations. Read on to learn why it’s crucial to harness AI’s potential responsibly and sustainably.
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Infuse your apps with AI capabilities using Semantic Kernel
By: Reply
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Semantic Kernel (SK) is an AI development solution from Microsoft designed to equip organizations with the large language capabilities of popular AI services. Tap into this blog post to learn how you can leverage it to build and scale highly effective applications based on large language models.
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