AWS Startups Blog

Michelle Kung

Author: Michelle Kung

Michelle Kung currently works in startup content at AWS and was previously the head of content at Index Ventures. Prior to joining the corporate world, Michelle was a reporter and editor at The Wall Street Journal, the founding Business Editor at the Huffington Post, a correspondent for The Boston Globe, a columnist for Publisher’s Weekly and a writer at Entertainment Weekly.

hyScore.io Aggregates, Analyzes and Automates Contextual Analysis using its Content Intelligence Platform

Imagine you’re a car manufacturer who wants to advertise on a news site, but you don’t want your advertisement to run alongside a story about the diesel emissions scandal. Or you sell something in an online shop and need to comb through the reviews, social media feeds and comments to figure out what users want in the next product upgrade or what they think of your customer service. Building a tool that could aggregate and analyze all the keywords, phrases and tonalities—whether the sentiment is positive or negative—would take a couple of years, a specialized development team, and at least half a million dollars. Enter hyScore.io, a customizable API that combines natural language processing and machine learning to create solutions for native advertising, contextual targeting, URL/text inventory searches and any number of other uses.

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How to GitOps Your Infrastructure

With competition at an all time high, it’s critical that startups deliver technical features quickly without compromising quality or security. CLEAR, a biometric security startup popular at U.S. airports, has been successful at both quality and security for their customers while running on AWS and leveraging Terraform and GitOps practices. Victor Cuascut, Director of IT at CLEAR, talks about how your startup can deploy multiple AWS infrastructures while maintaining compliance, speed, and predictability at the push of a button. 

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How WIREWAX Built And Scaled A Media Services Offering With Amazon Web Services

As an interactive video company, WIREWAX processes thousands of videos every single day. Each video uploaded to our platform goes through our computer vision algorithms to automatically detect faces and objects, languages, generate subtitles and much more. Our industry-leading computer vision applications have been trained and vastly improved through years of digital video asset analysis thanks in part to the flexibility and scalability of AWS.

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Exploring Data Science With Explorium’s Or Tamir

“My career has been around startups all the way,” says Or Tamir, co-founder and COO of Explorium. “This is something I’ve always wanted to do.” Because startups have composed the foundation and the scaffolding of Tamir’s career, he views the fact he ended up co-founding and helming a project like Explorium as almost inevitable. In a way, it was a logical next step: “co-founder” and “COO” were two of the only job roles in the world of startups that Tamir hadn’t yet tackled.

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Symphony Teams with AWS To Bring Critical Industries Securely into the Cloud

Industries like financial services, consulting, and insurance require solutions that ensure the safety of data against hackers. Companies must also retain access to data and provide it to regulators or other legal entities when needed. Symphony, a secure and robust collaboration platform, was born to serve these industries. With over 400,000 users across 400 of the most demanding companies, Symphony is used for internal collaboration as well as collaboration between firms.

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Anodot’s Ira Cohen and the Importance of User Experience with Autonomous Analytics

For Ira Cohen, founder and chief data scientist of Anodot, timing is everything. Despite having 11 years of work at Hewlett Packard under his belt, he always knew that when the right idea and timing struck, he’d make his way into the startup world. The right timing turned out to be about four and a half years ago. The right idea? Anodot, an autonomous analytics company that uses machine learning techniques to equip business owners with the tools they need to learn and grow using data.

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