Pilot Competency And Capability

Pilot Competency and Capability presents strategies for the air carrier pilot-in-command operating complex engineered systems within a complex natural environment. It bridges the gap between academic books and practical application by providing real-world examples of how various safety and operational theories work in practice. The book advises on how to develop concepts, strategies, and ways of thinking that integrate with existing structures and FAA regulations, while understanding how engineered systems and codified structures interface with complex natural environments. It considers how the prescribed safety margins function to manage emergent behaviors of both the natural environment and the engineered systems. The book is intended for airline pilots, training captains, simulator instructors, and aviation students taking courses in aviation safety, risk management, and flight safety to improve in-flight decision-making, risk analysis, and strategic planning.

Pilot Competency and Capability presents strategies for the air carrier pilot-in-command operating complex engineered systems within a complex natural environment. It bridges the gap between academic books and practical application by providing real-world examples of how various safety and operational theories work in practice.

This report proposes a practical, country-based framework for developing good governance indicators for programmes funded by the European Union.

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

First published in 1993. In both general aviation and airline transport there is evidence of an emergent awareness of the importance of instruction in training. The demands of technological change, growing need for pilots at a time when the pool of experienced applicants is diminishing, and growing recognition of the importance of Human Factors to aviation safety, are straining the ability to cope. There is a growing recognition by management, of the contribution of ground and airborne instruction to the efficient operation of aviation in a variety of contexts. This book shows how professionals in the aviation industry and academic researchers complement each other in their pursuit of more effective and efficient flight training and instruction. Theory and practice each have a contribution to make. The contributions are thus drawn from regulatory authorities, airlines, universities, colleges, flying schools, the armed services and private practice. Such a mix brings differences in approach, style and argument showing both the variety and common aims in the emerging profession of flight instruction.

Whether a trainee is studying air traffic control, piloting, maintenance engineering, or cabin crew, they must complete a set number of training 'hours' before being licensed or certified. The aviation industry is moving away from an hours-based to a competency-based training system. Within this approach, training is complete when a learner can demonstrate competent performance. Training based on competency is an increasingly popular approach in aviation. It allows for an alternate means of compliance with international regulations - which can result in shorter and more efficient training programs. However there are also challenges with a competency-based approach. The definition of competency-based education can be confusing, training can be reductionist and artificially simplistic, professional interpretation of written competencies can vary between individuals, and this approach can have a high administrative and regulatory burden. Competency-Based Education in Aviation: Exploring Alternate Training Pathways explores this approach to training in great detail, considering the four aviation professional groups of air traffic control, pilots, maintenance engineers, and cabin crew. Aviation training experts were interviewed and have contributed professional insights along with personal stories and anecdotes associated with competency-based approaches in their fields. Research-based and practical strategies for the effective creation, delivery, and assessment of competency-based education are described in detail.

What a Unicorn Knows is your company’s best guide to becoming a well-oiled, high-velocity machine for growth on its way to billion-dollar valuation. Why do some young companies become unicorns, while others don’t? What a Unicorn Knows is a playbook that offers a field-tested approach to delivering superior customer value and reaching unicorn status by removing the potential inhibitors to organizational scale and speed. Drawing on a mastery of lean-based methods for achieving maximum effect with minimum means, private equity operators Matthew E. May and Pablo Dominguez provide readers with a powerful framework of universally applicable principles that enable any company to effectively accelerate its ability to scale and grow. Called The Unicorn Model™ and built on five foundational principles, the authors deliver a compelling narrative of stories and experiences in an easy-to-remember mnemonic: Strategic speed Constant experimentation Accelerated value Lean process Esprit de corps Drawn from the authors’ successful track record with a wide variety of unicorn-level companies, What a Unicorn Knows offers a necessary guide for rapid but lasting growth. As more companies than ever vie for unicorn status, your competitive edge will depend on learning from the best.