Showing results for "The Money Machine" in Economics

In Money Machine: A Trailblazing American Venture in China, Weijian Shan delivers a compelling account of one of the most significant deals in private equity history: the first and only foreign acquisition of control of a Chinese national bank. Money Machine is the fascinating inside story of the transaction as told by the man who led it, from the intrigues of dealmaking to the complex and uncharted process of securing control by a foreign investor of a Chinese nationwide financial institution, a feat that had never before been attempted, nor has it been repeated.

In the months before the 2008 financial meltdown, bankers and hedge funds perverted the market to keep their lavish bonuses flowing. Their machinations made the collapse much worse. This Pulitzer Prize-winning series reveals how they did it.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Money, Machines, and Margins is the go-to podcast for manufacturing and industrial business owners who want to boost profits, streamline operations and make smarter financial decisions. Hosted by an experienced manufacturing finance expert, this show dives into cash flow mastery, cost efficiency, and scaling strategies for SMEs in the manufacturing space.From virtual CFO insights to real-world case studies, we break down the numbers and the nuts and bolts of running a profitable business. Whether you're an owner, CFO, or operations leader, you'll get actionable advice to maximise margins, ...

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

Your Money Machine - With Russell Colbourne. Russell is an entrepreneur and Part Time or Fractional CFO with The CFO Centre in Adelaide South Australia. With 700 experienced CFOs across the globe, you can find out more about the CFO Centre and how they can help your business from their global website Thecfocentregroup.com In his Show - Your Money Machine, Russell takes you under the hood of your business engine and shows you how to fine tune your business. Get ready for lift off as Russell adds rocket fuel to your engine! Each episode has additional written information your might find helpful....

Marketing, Verkauf, Skalierung...Verwandel dein Geschäft in eine Cash Machine

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.

A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind" - human and machine capabilities working together - has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results?