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Debunking observability myths – Part 5: You can create an observable system without observability-driven automation

IBM Services

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Why is this a myth? Reduced human error: Manual observation introduces a higher risk of human error.

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Enhancing Customer Experience through AI-driven CX: Bringing Innovation and Human Connection Together

Raya Contact Center

In this expert analysis, you will learn how AI-driven solutions enhance customer journeys, personalize interactions, and streamline operations. Companies are increasingly turning to AI to revolutionize their customer interactions, streamline operations, and provide a seamless journey from start to finish.

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Navigating AI in Business: Moving Beyond “Using AI”

Perficient Digital Transformation

AI solutions should not be any different: AI is a means to improvement rather than an end goal. The ML/AI Spectrum: From Rules to Generative AI At the risk of oversimplifying, traditional machine learning (ML) and AI have been likened to rules-based decision engines, evolving from a series of if-else statements to sophisticated neural networks.

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Application performance optimization: Elevate performance and reduce costs

IBM Services

Optimize performance through automation Turbonomic revolutionizes application performance optimization by leveraging AI and machine learning algorithms to analyze real-time performance data and give insight into application response time and transaction time.

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How Gen AI will revolutionize Telecom Network Operations

Capgemini

In this article, we explore how operators can leverage Gen AI to augment the employee experience and automate business processes, all in the name of smarter, faster, more resilient networks. Autonomous Networks monitoring with a human touch Moving to a higher level of network automation is critical for network operators.

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AI in commerce: Essential use cases for B2B and B2C

IBM Business Partners

  In the context of this rapid advancement, generative AI and automation have the capacity to create more fundamentally relevant and contextually appropriate buying experiences. These capabilities can help businesses make informed decisions, improve operational efficiencies, and identify opportunities for growth. The

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Evolving Healthcare: Generative AI Strategy for Payers and Providers

Perficient Digital Transformation

With its ability to analyze large datasets, identify patterns and trends, and surface new content based on insights that were previously unknown, this technology has the potential to streamline operations, reduce costs, and ease workloads for frontline workers. The opportunities are vast.