Outsmarting Ai
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Outsmarting AI
Author: Brennan Pursell
language: en
Publisher: Bloomsbury Publishing PLC
Release Date: 2020-08-15
From factories to smartphones, Artificial Intelligence is already taking over. Outsmarting AI is not a how-to guide on making AI work, but making it work for YOU to boost profits and productivity. Each development in Artificial Intelligence (AI) technology brings about apprehension and panic for the future of society and for business. We’re bombarded with stories about the impending human-less workplace; it is no longer a question if man can be replaced by machine in certain tasks, but when. However, AI was not manufactured to destroy life as we know it. These emerging technologies were developed and are constantly updating with a particular goal in mind: optimization. AI feeds on data and information to improve outputs and increase potential. With this enhanced productivity, profit and productivity will be sure to follow. Written by Brennan Pursell, a business consultant and professor who hates jargon, and Joshua Walker, an AI pioneer with 18 years of experience in solutions and applications, Outsmarting AI is the first plain-English how-to guide on adapting AI for the non-coding proficient business leader. This book will help readers to Cut through the fog of AI hypeSee exactly what AI can actually do for people in businessIdentify the areas of their organization in most need of AI toolsPrepare and control their data – AI is useless without itAdopt AI and develop the right culture to support itTrack the productivity boost, cost savings, and increased profits Manage and minimize the threat of crippling lawsuits
How to Teach AI
Author: Rachelle Dené Poth
language: en
Publisher: International Society for Technology in Education
Release Date: 2024-08-13
Get practical tools and strategies for teaching AI across the K-12 curriculum with this accessible guide. As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers. Taking a friendly and accessible approach, the book covers a range of topics related to AI, such as machine learning, robotics and natural language processing, and includes examples of how these technologies are being implemented in different industries and their impact on education. The book includes a chapter dedicated to the ethics of AI, addressing issues around bias, intellectual property, student data privacy and more. The book includes: • Ideas for using generative AI in the classroom and tips for writing effective prompts. • Activity ideas across content areas, including computer science, economics, literature, music and more. • Time-saving ideas for teachers, and study aids for students to explore. • AI-powered tool recommendations for teachers. • Questions for reflection in every chapter. With examples from educators in the field, and a variety of resources to apply in the classroom, this book helps educators become comfortable with this important topic and create meaningful learning experiences for their students.
Prioritizing Skills Development for Student Employability
In the throes of a global skills gap and relentless labor market disruptions, organizations grapple with the pressing challenge of aligning workforce skills with the demands of a hypercompetitive economy. Reports from influential entities like the World Economic Forum and McKinsey & Company underscore the urgency for strategic interventions to bridge this divide. Despite the pivotal role of higher education and corporate training, recent findings from the Society for Human Resource Management (SHRM) reveal a persistent struggle in finding candidates equipped with the requisite skills for a multitude of available jobs. The deficiencies span from foundational communication skills to complex problem-solving abilities, posing a formidable hurdle for organizations seeking qualified talent. Prioritizing Skills Development for Student Employability emerges as a solution to the skills misalignment conundrum by delving into the heart of the issue, dissecting the intricacies of global workforce dynamics, education-industry collaborations, and the evolving landscape of corporate training. By exploring topics such as learning analytics, educational artificial intelligence (AI), and effective leadership in the context of present-day human resource management, the book provides a comprehensive roadmap for both academic scholars and professionals to navigate the complex terrain of skills development.