AWS Startups Blog

Category: Artificial Intelligence*

AWS Global Evangelist Mackenzie Kosut interviews the founders of Cloud Conformity

Startups on Air: re:Invent Rendezvous

AWS’s annual re:Invent conference may not traditionally be known for its startup scene, but at this year’s iteration, Global Startup Evangelist Mackenzie Kosut took advantage of the massive event to chat with five hot startups for his Startups on Air video series.

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João Menano on Expanding Credit Opportunities with AI

James CEO João Menano on expanding credit opportunities with AI

Assigning credit risk to people who apply for business loans, credit cards, and home mortgages has mostly been done by weighing some 10 or 20 attributes. Take those attributes—and we’re all familiar with some of the things that make our credit scores rise and fall, including timeliness of payments, debt to income ratio, and defaults—and crank them through your favorite logistic regression model or scorecard. The result is your assigned credit risk, and depending on the number, you either get your loan or you don’t.

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Antoine Blondeau from Sentient

Sentient Technologies Chairman Antoine Blondeau on the evolution of AI

When Antoine Blondeau, the co-founder and chairman of Sentient Technologies, first began working with artificial intelligence, the concept was still known as “algorithmic science.” In the decades since, AI has evolved into a much sexier topic because, according to Blondeau, when operating on mission speed and plugged into the right workflow, AI will learn quicker and faster than humans—resulting in business models that can evolve at machine speed. “That is the revolution,” notes Blondeau.

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Building a Hotdog Detecting App on AWS—Yes, Really

In Season 4 of the hit HBO show, “Silicon Valley,” the character Jian Yang attempts to build an app that uses image recognition artificial intelligence (AI) to identify and label the foods in captured pictures. But there is a fairly major glitch: his app can only differentiate between hot dogs and… not hot dogs. Once I stopped laughing, the episode prompted a question that centers on my role as a Solutions Architect at AWS: How easily could I build my own hotdog identifying app? Turns out, pretty easily.

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Group of customers at AWS Developer Workshop at Web Summit 2017.

Web Summit 2017: AWS evangelists on natural language conversations and the IoT boom

In their 2016 Forecast: Internet of Things (IoT) report, Gartner projected that 8.4 billion connected IoT devices will be in use by the end of 2017. That’s up 31% from 2016 with the greatest concentration of use in China, North America, and Western Europe. That’s why it’s no surprise that all of Amazon Web Services’ […]

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Web Summit Stage

The Cloud from A to Z: The AWS Developer Workshop at Web Summit 2017

Serverless. The Internet of Things. Artificial intelligence and machine learning. Nascent ideas that were barely mentioned at the first Web Summit in 2009 are now front and center eight years later. Such concepts are exciting, especially as they get adopted by more and more consumers, but they are also trickier to understand than one might […]

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Enabling cloud threat defense with RedLock

Guest post by Varun Badhwar, CEO and Cofounder, RedLock The adoption of public cloud computing among established businesses and startups is outpacing the adoption of new cybersecurity defenses. In fact, the average customer’s traditional security tools are incompatible with the cloud, as they were designed for on-premises networks—and according to Gartner, 95% of cloud security […]

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AWS London Loft

That’s a wrap on the AWS Pop-up Loft London!

It’s been epic. More than 1,000 visitors, 12,000 Twitch views and counting, 36 breakout sessions, 19 live streams, 5 hands-on workshops, 3 networking evenings, 2 breakfast briefings, a Fintech innovation showcase, and an AWS Community Day later, we’ve now officially closed the London Pop-up Loft for yet another year. Thanks to an interesting mix of […]

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AI or die: Why companies must invest in AI

Post by Roy Ben-Alta, AWS Business Development for data analytics, machine learning, and artificial intelligence If you ask 100 people for the definition of “artificial intelligence,” you’ll get at least 100 answers, if not more. At AWS, we define it as a service or system that can perform tasks that usually require human-level intelligence such as […]

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