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Maintaining The Human Factor in Machine Learning

Dataiku

While some automation in machine learning (ML) models is productive and necessary, taking a human-centric approach to machine learning and AI is essential. Humans have to be part of the ML workflow, included in the feedback loop, and more.

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Cloud Computing Can Improve Human Resource Management

Smart Data Collective

One of the many benefits of cloud technology pertains to human resource management. In order to appreciate the benefits of using the cloud for HR management, it is necessary to understand the importance of human resource management in general. Keep reading to learn more. What is Human Resource Management?

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

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Conversational AI use cases for enterprises

IBM Big Data Hub

This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

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

IBM Big Data Hub

Chatbots can help your customers and potential clients find or input information quickly by instantly responding to requests that use audio input, text input or a combination of both, eliminating the need for human intervention or manual research. Gone are the days of prompts like “Press 6 to connect to customer service.”

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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Top 8 challenges IT leaders will face in 2024

CIO Business Intelligence

To get back in front, IT leaders will have to transform lessons learned from 2023 into actionable, adaptable processes, as veteran technology pros have been remarkably consistent in identifying global and economic uncertainties as key challenges for IT leaders to anticipate in 2024 as well.

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