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The 10 Hottest AI And Machine Learning Startups Of 2019

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Investors just can't get enough of artificial intelligence and machine-learning startups--if the latest data on venture capital funding is any indication. Total funding for AI and machine-learning startups for the first three quarters of 2019 was $12.1 billion, surpassing last year's total of $10.2 billion, according to the PwC and CB Insights' MoneyTree report. With global spending on AI systems set to grow 28.4 percent annually to $97.9 billion, according to research firm IDC, these startups see an opportunity to build new hardware and software innovations that can fundamentally change the way we work and live. What follows is a look at the 10 hottest AI and machine-learning startups of 2019, whose products range from new AI hardware and open-source platforms to AI-powered sales applications.


4 Errors of machine-learning startups - Asume Tech

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Have you heard about the Darwin Awards? Jump on YouTube and have a look. It's a naughty honor that sets people up for the most sophisticated attempts to do something they think is cool. One is taking a selfie with a wounded bear, another is screwing an engine to a skate. These bold actions lead to serious mistakes with serious consequences and funny comments.




Opportunities for machine-learning startups: An investor perspective - Brio Financial

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Machine learning is a trending topic today and for good reason. It has enormous potential to transform entire markets and industries. Successful machine-learning startups will be the ones targeting vertical applications with a clear need for the technology. The consumer packaged goods industry is a good example. Machine learning can more accurately predict inventory levels to better manage the supply chain, reduce inventory costs, minimize excess capacity requirements, and eliminate stockouts.


Opportunities for machine-learning startups: An investor perspective

#artificialintelligence

Machine learning is a trending topic today and for good reason. It has enormous potential to transform entire markets and industries. Successful machine-learning startups will be the ones targeting vertical applications with a clear need for the technology. The consumer packaged goods industry is a good example. Machine learning can more accurately predict inventory levels to better manage the supply chain, reduce inventory costs, minimize excess capacity requirements, and eliminate stockouts.


Opportunities for machine-learning startups: An investor perspective

#artificialintelligence

Machine learning is a trending topic today and for good reason. It has enormous potential to transform entire markets and industries. Successful machine-learning startups will be the ones targeting vertical applications with a clear need for the technology. The consumer packaged goods industry is a good example. Machine learning can more accurately predict inventory levels to better manage the supply chain, reduce inventory costs, minimize excess capacity requirements, and eliminate stockouts.


Before you build another machine-learning startup, read this

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Some commentators are calling AI the fourth industrial revolution. Successful companies usually start by solving a specific customer problem and evolving over time to deliver wider "platforms" based on the solution. What matters is the specific business problems being solved, not the technology itself. One other important aspect that entrepreneurs building horizontal AI platforms should think about is the complexity of the go-to-market process.


Twitter acquires machine-learning startup Whetlab

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In an effort to accelerate its "machine learning," Twitter announced Wednesday that it acquired Whetlab, a Cambridge-based start-up with a focus on artificial intelligence. Details on the acquisition were not immediately available, but Whetlab said on its website that Twitter will now have access to the start-up's technology and small team as part of the deal. Whetlab is a start-up that develops artificial intelligence technologies, which can be used for things such as object recognition, speech processing and computational biology, according to the company's website. With its innovative technology, Whetlab said, it aims to make "machine learning better and faster for companies, automatically." "Rather than having to hire doctorate-wielding machine learning experts to architect and tune your system, our patent-pending technology helps your engineers -- your team that already understands your data and your needs -- get the latest and greatest deep learning techniques going in days rather than months of years," Whetlab said on its website.


Uber Acquires Machine-Learning Startup

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Memristive devices can mimic brain's capability to change synaptic connectivity MoneyLion secures $22.5M to bring fresh talent to AI finance management Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time. We won't share your personal information with anyone.