Today’s consumers are pickier than ever. They want customized, personalized, and unique products over standardized ones and prefer local, smaller producers over large-scale global manufacturers. At the same time, they also expect locally-produced products to be as cheap and reliable as those industrially produced. Factories, power plants, and manufacturing centers around the world must rely on automation, machine learning, computer vision, and other fields of AI to meet these rising demands and transform the way we make, move, and market things. Pain Can Drive Progress Since the industrial revolution, factories have been optimized to mass produce a...Read More
Author: Mariya Yao
Posted by Rachel Thomas
Women aren’t the only ones appalled by the recent high-profile stories of rampant sexism, harassment, and retaliation at tech companies like Uber and Tesla and investment firms like 500 Startups and Binary Capital. Many men have approached us asking how they can personally help change Silicon Valley’s counter-productive culture and promote diversity and inclusion. Your support has never been more critical. Women and minorities are the primary voices speaking out against discrimination and mistreatment, but Harvard Business Review reports that they’re often penalized for advocating for diversity while white males are not. Yet, a McKinsey study of 366 companies...Read More
Posted by Mariya Yao
Saying you use “AI” at your company may give you bragging rights at your industry meetups and even fool the media, but actually implementing enterprise-wide transformation is much harder than just claiming you have. Before you beg management for an eye-popping AI budget, be aware: not all companies are ready for artificial intelligence. Unlike flash drives and mobile apps, enterprise-scale AI is not standalone plug-and-play technology. The quality of your data and analytics infrastructure, as well as your organization’s engineering and business culture, are critical foundations for any AI initiative. Even tech-savvy companies like Google have made embarrassing faux-pas,...Read More
Posted by Mariya Yao
Is your organization moving fast enough to adopt AI technologies? Or are your competitors pulling ahead ahead of you? In December 2017, the White House under President Obama released a detailed report on artificial intelligence, automation, and the American economy. The report credited technology with being the primary driver of growth in GDP per capita, even more so than labor or capital. But the administration also warned that “the winner-take-most nature of information technology markets means that only a few may come to dominate markets” and feared that “the large economic gains brought about by AI could accrue to...Read More
Posted by Karin Flieswasser
Along with “artificial intelligence”, “internet of things (IoT)”, and “big data”, “blockchain” is yet another trendy word of the day. Some experts believe blockchain technology, especially in combination with AI, could revolutionize precision medicine, self-driving cars, and international economies. Others believe the technology is overhyped and doomed to fail. But…what exactly is blockchain? To understand where both perspectives stem from, you need to get a grip on the nature of the beast. How Does Blockchain Work? Blockgeeks, an online community for discussing all things blockchain, describes the technology as follows: “Picture a spreadsheet that is duplicated thousands of...Read More
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