Category: HR analytics
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Unsupervised ML, K-Means Clustering & Customer Segmentation
The goal of this post is to describe the most popular, easy-to-use, and effective data-driven techniques that help organizations streamline their operations, build effective relationships with with individual people (customers, service users, colleagues, or suppliers), increase sales, improve customer service, and increase profitability. Customer Segmentation (CS) is a core concept in this technology. This is the…
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Top Fast-Growing Apps in 2023
The OKTA Business at Work report and blogs by Leon Zucchini discuss the fastest-growing and new app categories. Key trends include the growth of collaboration, communication, and travel apps, and the adoption of multi-cloud. Ten notable growing apps are Kandji, Grammarly, Bob, Notion, Prisma Access, Navan, GitLab, Ironclad, Terraform Cloud, and Figma. Emerging apps include…
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A Roadmap from Data Science to BI via ML
The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…
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Cloud-Native Tech Autumn 2022 Fair
Let’s dive deeper into the cloud-native tech trends and features to follow in Q4 2022 and beyond. Contents: Markets Services Serverless Cybersecurity DevSecOps ML/AI/IoT Use-Cases Events Training Explore More Infographic
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Applications of ML/AI in HR – Predicting Employee Attrition
A critical arm of artificial intelligence (AI), machine learning (ML) is making strides in every area of HR. We discuss its role of ML/AI in HR and people-centric transformation. Results have a crucial influence on customer satisfaction and retention, especially when employees come into regular contact with customers. Knowing when employees are most likely to have…
