Hoping to appear relevant, businesses love to invoke AI in their marketing every chance they get — but not everyone is impressed. When the hype gets out of control, facts get lost in the haze and the real promise of artificial intelligence regresses into a sci-fi version of snake oil. As a result, companies — including those most likely to benefit from AI-driven solutions — are starting to doubt the claims of vendors plugging their wares. On the opposite side, marketers tasked with communicating the business utility of their AI products are left with a disinterested or distrusting audience....Read More
Author: Mariya Yao
Deep learning almost single-handedly made “AI” a buzzword in research labs, corporate board meetings, the stock market, and the homes of digital consumers. A branch of machine learning that uses artificial neural network structures to enable computers to learn, deep learning is responsible for recent performance leaps in technologies such as natural language processing, audio recognition, computer vision, autonomous vehicles, drug design, and advanced recommendation engines. The approach is also behind much of the tech world’s latest batch of milestone products: from Amazon Echo to Google’s AlphaGo to enterprise-ready machine learning APIs. The Beginning (Or The End?) Of An AI...Read More
Think about the smartest person you know. What about this person leads you to describe him or her as incredibly intelligent? Is she a quick thinker, able to internalize and reuse new concepts immediately? Is he highly creative, able to endlessly generate new ideas you’d never think of? Perhaps she’s highly perceptive and can pick out the tiniest details of the world around her. Or maybe he’s deeply empathetic and understands what you’re feeling even before you do. Computers trounce humans at large-scale computational tasks, but human intelligence spans a much wider spectrum beyond what machines are currently...Read More
This is part two of our WTF IS AI?! series. Read part one on modern AI techniques if you missed it. If you’re not an AI researcher or engineer, understanding the subtle differences and applications of various machine learning approaches can be challenging. Business problems can usually be solved in multiple ways by different algorithms and the comparative merits of different methodologies might not be obvious without technical experience or practical experiments. To help business executives disentangle the functional differences between different AI approaches, we’ve segmented applications along our Machine Intelligence Continuum (MIC). The MIC represents a continuum from...Read More
When you say “cryptic”, you mean “mysterious, puzzling or incomprehensible”. For most people, that’s just what cryptocurrencies are — a big question mark that may yet flip the financial world on its head faster than you can say Bitcoin. Already, tech entrepreneurs are using cryptocurrencies and other digital tokens to raise funds for their startups via ICOs (Initial Coin Offering), bypassing the traditional venture capital route founders take to launch new companies. Instead of pitching your clever idea to a panel of venture capitalists or issuing company shares in a public offering, you crowdsource capital by issuing digital tokens...Read More
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