Data & Analytics 4.0: The Future of Work, Privacy and Trust in the Age of Artificial Intelligence
Better Together: Humans + Machines
Contrary to the past when numerous companies failed due to the delay in adopting technology, the future's disruption might come from undervaluing humans, overusing robots and failing to build a symbiotic workforce (humans + machines) for the future. In this book, Journel Joseph addresses the complexities surrounding artificial intelligence (AI) and the future of work--information warfare, social media and data misuse, digital trust and privacy by reflecting on "How to future-proof your career with the rise of AI. How are companies going to face the future in this tumultuous and uncertain time? What makes the apps that consume our daily lives so successful? How is your personal data being collected and analyzed in today's age of automation? What about data privacy, does it really matter? Is your mind being hacked? Are humans underrated? How much of the data that permeates our daily lives is actually trustworthy?" Using real-world scenarios and case studies, this book focuses on the practical applications of data and analytics to help tackle these questions and much more. The stakes are personal and daunting, but it is a critical journey--a continuous voyage that will lead to the ultimate destination depending on how fast you adapt and adjust along the way.
Journel is a resourceful, multilingual, creative and self-motivated data scientist and author. He is passionate about leveraging data and technology to solve problems, enhance efficiency and drive meaningful decisions.
Whether you are interested in learning to respond to market shifts, building a digital mindset, connecting the dots in your own company’s data—unlocking hidden values and gaining competitive advantages, or simply comprehending the essential principles of data protection and privacy, you are on the right path. In this strategic guide, I discuss through real-life and practical examples, the four stages of analytics (descriptive, diagnostic, predictive and prescriptive)—the potential impact of systems intelligence, as well as data collection, privacy and decision-making in today’s age of automation and agile management. I also address the complexities surrounding artificial intelligence (AI) and the future of work by reflecting on how to future-proof your career with the rise of AI. I will bring clarity to the very complex topic of big data that has consumed and revolutionized businesses and governments. This is vital to understand as we cruise into digital transformation and interconnected systems.
Further, I explore throughout the book what is described as the TOP techniques (Trends, Outliers, Patterns). These techniques represent the three essential codes of life surrounding data and analytics. They will help managers and executives to navigate unchartered territories as we brace ourselves for a wild ride into the seemingly unknown. Leading companies have attained success by embracing these techniques however, many storied enterprises have also failed and become obsolete by ignoring them. Regrettably, most managers are blind to them which leads to an important question: Where does your organization stand with mastering the evolution of big data and analytics? Or where do you stand? There is only one way to find out.