The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments.

Identifying and retaining the right talent is the name of the game for CHROs across the board. And it's not just this, the HR needs to ensure that there's absolutely no bias when it comes to internal job postings (IJPs). Staying one step ahead of the game is the need of the hour, and emerging technologies like predictive analytics and AI help CHROs do just that. A discussion with prominent players in the market and a company pioneering in using AI for HR, brings to light the necessity of using machine learning in a domain that has, until now, seen limited usage of cutting edge tech. While data is informative, it might be incomplete.

Sieving through hundreds of resumes to find the right candidate for a vacancy has always been a time-consuming task for HR professionals. That tedious process is set to become easier with the launch of a next generation HR technology solution by Edge Networks, a Bengaluru-based HR tech startup. "Edge Networks was built on the premise of how one could alleviate search friction for firms when they are hiring," says Arjun Pratap, founder, Edge Networks. "We started with resumes and job descriptions and our ability to build technology to read and match the two, like a hiring manager. This led to building an HR technology platform, backed by artificial intelligence and data science that would enable workforce optimisation and workforce transformation for organisations."

Nick Pratap, MB, BChir, of Cincinnati Children's Department of Anesthesia and the Heart Institute and Yizhao Ni, PhD, of the Division of Biomedical Informatics have received a 300,000, two-year grant from the Agency for Healthcare Research and Quality that aims to use electronic health records (EHRs) to identify children likely to suffer last-minute surgery cancellation. Their efforts will contribute to other initiatives across the hospital already aiming to reduce such cancellations. Every year, between two and twenty percent of surgical procedures are cancelled at the last minute in America, wasting thousands of dollars per procedure. In addition, the cancellation of a procedure creates psychological stress and financial hardships for patient and family alike. Already Pratap has led quality improvement efforts at Cincinnati Children's to reduce cancellation by about 16% through use of text-message reminders and clearer pre-operative instructions for families.