Human + Machine Quotes

“The simple truth is that companies can achieve the largest boosts in performance when humans and machines work together as allies, not adversaries, in order to take advantage of each other’s complementary strengths.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“Companies can deploy a range of these technologies, sometimes even for the same application. Case in point: Unilever’s process for hiring employees. Say you’re looking for a job and through LinkedIn you find a position at Unilever that might be suitable. For the first round of the application process, you’d be asked to play twelve online games based on tests from the field of cognitive neuroscience. The games help assess certain traits, like your risk aversion and ability to read emotional versus contextual cues. According”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“State Farm combines skills scores with drivers’ biometric data (indicating emotional states), captured from a variety of sensors and cameras. Its data analytics lets the company customize its rates to more closely match actual risk and driver safety levels.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“Disintermediated brands appear in other contexts, too. For instance, Facebook creates no content, yet it brokers content for billions of individuals and thousands of media markets; Uber owns almost no vehicles, yet it is the world’s largest taxi service. In a hyper-networked world where mobile phones, speakers, thermostats, and even exercise clothes are connected to the internet and potentially each other, brands have to learn to play well with each other or give up a certain amount of control to those that own the most popular interfaces. For better or for worse, the power is in the portal.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“In 2016, Tesla announced that every new vehicle would be equipped with all the hardware it needs to drive autonomously, including a bevy of sensors and an onboard computer running a neural network.2 The kicker: the autonomous AI software won’t be fully deployed. As it turns out, Tesla will test drivers against software simulations running in the background on the car’s computer. Only when the background program consistently simulates moves more safely than the driver does will the autonomous software be ready for prime time. At that point, Tesla will release the program through remote software updates. What this all means is that Tesla drivers will, in aggregate, be teaching the fleet of cars how to drive.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“When you honestly assess the strengths of human and machine workers, and what they do well when they collaborate, a whole new world of possibilities emerges for running a business and designing your processes—that is, the important mindset part of MELDS. And by exploring those possibilities, companies can often develop novel businesses, like vertical farms. Indeed, it’s through the experimentation part of MELDS that executives will be able to discover game-changing innovations that could potentially transform their company, if not their entire industry.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“According to various statistics, 795 million people don’t have enough food and, to keep pace with population growth, more food will be needed in the next fifty years than has been produced in the past ten thousand years combined.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI

“A key lesson here is that companies can’t expect to benefit from human-machine collaborations without first laying the proper groundwork. Again, those companies that are using machines merely to replace humans will eventually stall, whereas those that think of innovative ways for machines to augment humans will become the leaders of their industries.”
― Paul R. Daugherty, Human + Machine: Reimagining Work in the Age of AI