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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. billion by 2030.

Analytics 106
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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

Through the implementation of generative AI we are able to expand our knowledge to many individuals easily, quickly and efficiently becoming a resource. This addresses data management, conversational interface and natural language processing needs with efficiency.

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How chatbots improve human resource operations

IBM Big Data Hub

Today’s HR departments struggle to efficiently manage human resource operations and routine tasks, wasting time daily answering employees’ FAQs in the absence of a self-service system. AI and HR Conversational AI can be used as a powerful tool to improve HR operations.

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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

The latest artificial intelligence (AI) chatbots , also known as intelligent virtual assistants or virtual agents, not only understand natural conversations thanks to advanced language models but also proactively automate various tasks using conversational AI technology. ” The advantages of chatbots surround us.

Sales 96
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Skills and expertise: Keys to the generative AI engine

IBM Big Data Hub

Early conversations with clients have to include a discussion around ethics, transparency and trust because you can’t have a generative AI strategy without considering how you are going to govern it. ​ IBM watsonx Assistant helps deliver consistent and intelligent customer service solutions with conversational AI.

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Application performance optimization: Elevate performance and reduce costs

IBM Big Data Hub

This approach paves the way for substantial savings, aligning resource allocation precisely with the demands of the application. Instead, organizations need a solution that makes sure resources are allocated precisely where and when they are needed, optimizing performance without unnecessary resource expenditure.

Cloud 72
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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

But with all of this new capacity, how are renewable energy resources really being used? Renewable energy, sometimes called green energy, refers to energy generated from natural resources such as sun, wind, rain, geothermal heat and ocean tides. trillion in 2023. Biomass is sometimes considered a source of renewable energy.