'This powerful book will help you tackle stress and learn more about yourself in the process' Sir Clive Woodward OBE Are you feeling stressed at work? Is it 'good' stress, 'bad' stress? Or has it turned into 'ugly' stress? For some, there is a high price to pay for ambition and success. The toll it can take on our mental health can be significant, particularly if we are born with the 'Worry' gene. In Beat Stress at Work, management trainer Mark Simmonds helps you understand the effects stress and anxiety can have on your mental health and provides tools and advice to help you to find your way through work-induced struggles. Sharing his own brutally honest journey and using his corporate experience, Mark sheds light on the difficulty of discussing mental health with colleagues and employers and identifies the best ways for navigating your way through a mental health crisis. The book: * Encourages you to maintain positive mental health by better understanding yourself and finding a career that suits your most authentic self. * Shows you how to return safely to the workplace after a period of mental ill health and communicate effectively with your peers and managers. * Demonstrates how your resilience 'muscle' can help you fulfil your ambitions in the professional arena, while being mindful of your mental health. * Pinpoints some of the key lessons from COVID-19 about stress management and the working environment. Through the advice in this book, you will learn that your mental health issues may not be the barriers you view them as but may hold value in the workplace. Mark shows you that it is possible to be ambitious and successful at work because of, not in spite of, the mental health challenges you may face.

From humble evolutions in research papers and labs, artificial intelligence (AI)—which encompasses Machine Learning (ML) and Deep Learning (DL)—has matured in its many forms, infused in applications that can learn on their own and become progressively smarter with each interaction and transaction. Coupled with immense stores of data, maturity in CPU and GPU hardware, the invention of new, open source deep learning algorithms, and cloud technologies, operational AI has become available to the masses, setting the wheels in motion for a worldwide AI revolution that has never been seen before. This book attempts to help the reader on their AI journey by covering the concepts of AI, Machine Learning, and Deep Learning in its many forms; key ML and DL algorithms data scientists should learn; ethical challenges for the use of AI; how AI is being used across industries; possible future outlook for AI, and an AI Ladder to help accelerate the AI journey.