As business priorities change and focus shifts to address arising issues, HR professionals need to be able to reorganize talent swiftly and plan for future needs to enable the business to succeed. It covers how to forecast organizational demand for people, resources and skills, analyze the gap between supply and demand and most importantly, how to fill this gap. This book explains how to use agile workforce planning to achieve this. Agile Workforce Planning is a practical guide for HR and organization development practitioners needing to align their staff, skills and resources with evolving company goals. This book also covers how to identify the skills needed in the workforce, where these skills are already available and when they're missing, how to decide whether to buy, borrow or build them. Agile Workforce Planning explains how to collect data to calculate and predict staff churn as well as how to use qualitative and quantitative demand modelling to forecast for future needs and provides strategies to address these including lateral internal recruitment. There is also expert guidance on horizon scanning, scenario planning and how to secure stakeholder buy in and engagement for an agile workforce plan. Supported by case studies from companies including Apple, Coca-Cola, Procter & Gamble, NATO and the UK National Health Service, this is essential reading for HR and OD professionals needing to continuously align the talent and capabilities in their workforce with the overall business strategy

As business priorities change and focus shifts to address arising issues, HR professionals need to be able to reorganize talent swiftly and plan for future needs to enable the business to succeed. It covers how to forecast organizational demand for people, resources and skills, analyze the gap between supply and demand and most importantly, how to fill this gap. This book explains how to use agile workforce planning to achieve this. Agile Workforce Planning is a practical guide for HR and organization development practitioners needing to align their staff, skills and resources with evolving company goals. This book also covers how to identify the skills needed in the workforce, where these skills are already available and when they're missing, how to decide whether to buy, borrow or build them. Agile Workforce Planning explains how to collect data to calculate and predict staff churn as well as how to use qualitative and quantitative demand modelling to forecast for future needs and provides strategies to address these including lateral internal recruitment. There is also expert guidance on horizon scanning, scenario planning and how to secure stakeholder buy in and engagement for an agile workforce plan. Supported by case studies from companies including Apple, Coca-Cola, Procter & Gamble, NATO and the UK National Health Service, this is essential reading for HR and OD professionals needing to continuously align the talent and capabilities in their workforce with the overall business strategy

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J's workflow tool Learn how to use DL4J natively on Spark and Hadoop

This is a pre-1923 historical reproduction that was curated for quality. Quality assurance was conducted on each of these books in an attempt to remove books with imperfections introduced by the digitization process. Though we have made best efforts - the books may have occasional errors that do not impede the reading experience. We believe this work is culturally important and have elected to bring the book back into print as part of our continuing commitment to the preservation of printed works worldwide.

This is a pre-1923 historical reproduction that was curated for quality. Quality assurance was conducted on each of these books in an attempt to remove books with imperfections introduced by the digitization process. Though we have made best efforts - the books may have occasional errors that do not impede the reading experience. We believe this work is culturally important and have elected to bring the book back into print as part of our continuing commitment to the preservation of printed works worldwide.