Technology Business

Merchants of Doubt has been praised—and attacked—around the world, for reasons easy to understand. This book tells, with “brutal clarity” (Huffington Post), the disquieting story of how a loose-knit group of high-level scientists and scientific advisers, with deep connections in politics and industry, ran effective campaigns to mislead the public and deny well-established scientific knowledge over four decades.

From the visionary head of Google's innovative People Operations comes a groundbreaking inquiry into the philosophy of work - and a blueprint for attracting the most spectacular talent to your business and ensuring that they succeed. "We spend more time working than doing anything else in life. It's not right that the experience of work should be so demotivating and dehumanizing". So says Laszlo Bock, former head of People Operations at the company that transformed how the world interacts with knowledge.

Unlock AI’s Power to Build Wealth and Freedom. Are you tired of struggling while others thrive? Unsure how to leverage AI for success? ChatGPT Multiverse is your step-by-step guide to using AI for passive income, viral content, and limitless opportunities.

Offering both successes and failures from leading companies as a guide, The Innovator's Dilemma gives you a set of rules for capitalizing on the phenomenon of disruptive innovation. Sharp, cogent, and provocative—and consistently noted as one of the most valuable business ideas of all time—The Innovator's Dilemma is the book no manager, leader, or entrepreneur should be without.

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.

Although Thomas Alva Edison was the most famous American of his time, and remains an international name today, he is mostly remembered only for the gift of universal electric light. His invention of the first practical incandescent lamp 140 years ago so dazzled the world - already reeling from his invention of the phonograph and dozens of other revolutionary devices - that it cast a shadow over his later achievements. In all, this near-deaf genius patented 1,093 inventions, not including others, such as the X-ray fluoroscope, that he left unlicensed for the benefit of medicine.

Veteran Morgan Stanley banker Alok Sama thought he'd seen it all. Then he found himself chief dealmaker at the most influential technology investor in the world—SoftBank, the backer of Arm Holdings, Yahoo, Nvidia, TikTok, Uber, T-Mobile, Alibaba and WeWork. The Money Trap is Sama’s thrilling, stranger-than-fiction personal odyssey featuring his experiences alongside SoftBank’s iconic founder, Masayoshi Son, a visionary maverick who wants to be remembered as “the crazy guy who bet on the future” and whose mission is “happiness for everyone.”

World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.

You’ve seen it all before. A malicious online rumor costs a company millions. A political sideshow derails the national news cycle and destroys a candidate. Some product or celebrity zooms from total obscurity to viral sensation. What you don’t know is that someone is responsible for all this. Usually, someone like me. I’m a media manipulator. In a world where blogs control and distort the news, my job is to control blogs - as much as any one person can.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Steve Jobs called Jony Ive his “spiritual partner at Apple.” The London-born genius was the second-most powerful person at Apple and the creative force who most embodies Jobs’s spirit, the man who designed the products adopted by hundreds of millions the world over: the iPod, iPad, MacBook Air, the iMac G3, and the iPhone.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

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.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

Because Internet is for anyone who's ever puzzled over how to punctuate a text message or wondered where memes come from. It's the perfect book for understanding how the internet is changing the English language, why that's a good thing, and what our online interactions reveal about who we are.

In 2007 and 2008, Time named Paul Allen, the cofounder of Microsoft, one of the 100 most influential people in the world. Since he made his fortune, his impact has been felt in science, technology, business, medicine, sports, music, and philanthropy. His passion, curiosity, and intellectual rigor - combined with the resources to launch and support new initiatives - have literally changed the world. With honesty, humor, and insight, Allen here tells the story of a life of ideas made real.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

Modern knowledge workers communicate constantly. Their days are defined by a relentless barrage of incoming messages and back-and-forth digital conversations - a state of constant, anxious chatter in which nobody can disconnect, and so nobody has the cognitive bandwidth to perform substantive work. There was a time when tools like email felt cutting edge, but a thorough review of current evidence reveals that the "hyperactive hive mind" workflow they helped create has become a productivity disaster, reducing profitability and perhaps even slowing overall economic growth.

The Sales Acceleration Formula provides a scalable, predictable approach to growing revenue and building a winning sales team. Everyone wants to build the next $100 million business, and author Mark Roberge has actually done it using a unique methodology that he shares with his listeners. As an MIT alum with an engineering background, Roberge challenged the conventional methods of scaling sales utilizing the metrics-driven, process-oriented lens through which he was trained to see the world.