Showing results by author "Mark Graham" in All Categories

China has more than one billion people. That's one billion potential customers. China Now is your must-have guide to this exciting world of opportunity, written by a top corporate advisor and a renowned business professor who specialize in East-West business strategy. Together, Mark Lam and John Graham have worked with dozens of Fortune 500 companies and thousands of American and Chinese executives, and now share with you their most successful strategies, tactics, and insights.  

You will find everything you need to know to ensure that you are able to invest wisely in your future. First, you will learn about the reason investing in the stock market makes sense, what you need to know to get started, and the lingo you can expect to hear on a regular basis. Next, you will learn all about the mindset that successful investors have, as well as how to cultivate it for yourself and much more.

Mark and Ellie are cycling around the world. Join their adventure as they share weekly diary updates from the road. Bears, typhoons, camels drinking each other's wee, and lots of crisps; this podcast is much more than a cycling diary. The ups are hilly, the lows are swampy, but for every puncture there's a patch.

Come explore quieter, more intentional ways of being, and how these might attune us to the slow work of God in order that we might love one another and the world as God does. Our chapters pair a lure to move fast with an invitation to slow. Becoming slow to anger is an invitation to empathy, slow to judge is an invitation to humility, and slow to grasp is an invitation to contentment. Ultimately, each of these invitations is a movement toward God.

Bloomsbury presents Feeding the Machine by James Muldoon, Mark Graham, and Callum Cant, read by Orlando Wells. For readers of Naomi Klein and Nicole Perlroth, A myth-dissolving exposé of what “artificial intelligence” really means, and a resounding argument for an equitable future of A.I...

KI ist keine bunte Wolke, die frei durch den Äther schwebt. Wer nur staunt, wie schnell die Programme lernen, lässt sich täuschen: Denn die KI erschafft sich nicht selbst – ihre Entwicklung beruht zum großen Teil auf prekärer Arbeit. Es sind Menschen wie Anita in Uganda, die für einen Autokonzern in einem stundenlangen Klickreigen menschliche Anzeichen für Müdigkeit kennzeichnet, während ihr selbst jede Pause verwehrt bleibt. Wie Einar, der das infrastrukturelle Machtzentrum einer gigantischen Serverfarm wartet.