AI 50: America’s Most Promising Artificial Intelligence Companies

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These are America's most promising artificial intelligence companies: ForbesAI50

Share to linkedinrtificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and mimicking the way humans speak. But for all the authentic and exciting ways it’s transforming the tasks computers can perform, there’s a lot of hype, too. , puts it: “Everyone knows you have to have machine learning in your story or you’re not sexy.

The inherently broad term gets bandied about so often that it can start to feel meaningless and can be trotted out by companies to gussy up even simple data analysis. To help cut through the noise,and data partner Meritech Capital put together a list of private, U.S.-based companies that are wielding some subset of artificial intelligence in a meaningful way and demonstrating real business potential from doing so. One makes robots that can whir around shoppers to help workers restock shelves.

To be included on the list, companies needed techniques like machine learning , natural language processing , or computer vision to be a core part of their business model and future success. Find all the

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AI 50: America’s Most Promising Artificial Intelligence CompaniesArtificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and giving financial institutions more nuanced ways to predict risk. But for all the authentic use cases, there’s a lot of hype too. AI is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses and mimicking the way humans speak ForbesAI50 Can't wait to be on this list!
Source: Forbes - 🏆 394. / 53 Read more »

AI 50: America’s Most Promising Artificial Intelligence CompaniesArtificial intelligence is infiltrating every industry, allowing vehicles to navigate without drivers, assisting doctors with medical diagnoses, and giving financial institutions more nuanced ways to predict risk. But for all the authentic use cases, there’s a lot of hype too.
Source: Forbes - 🏆 394. / 53 Read more »