AWS Startups Blog

Tag: Digital Content

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Why Audioburst Migrated its Kubernetes-based System to AWS

Audioburst is on a mission to build the world’s largest talk audio repository, enabling anyone to easily search for and share content. Initially, the company launched on Azure, but has since fully migrated to AWS for managing its Kubernetes-based system. Since moving, Audioburst has been able to take advantage of multiple other services within the AWS ecosystem, such as Amazon Transcribe. Watch the above video to hear from CTO Gal Klein on what went into the decision to migrate and how it’s been since the move.

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Inmagine Group Migrates to AWS to Support Growth and Enhance Operational Efficiency

INMAGINE is a global creative ecosystem powered by design, technological innovation, and entrepreneurship specializing in creative content and services. The group has been in the market for over 20 years with a strong presence across the United States, Europe and Asia. In this migration case study, we will cover how 123rf.com, the flagship website of Inmagine Group, was migrated over to AWS.

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PromoMii: Video Ads Powered by AWS Machine Learning

Creating a movie trailer takes time and most broadcasters and streaming platforms don’t have enough resources to do it. PromoMii, a UK startup, solves this problem with a unique blend of domain expertise and machine learning. Here’s how they do it.

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Leave Boring Presentations Behind with Powtoon

“Death by PowerPoint, yeah? A phenomenon known to all of us,” jokes Sven Hoffmann, Chief Technology Officer and Co-founder of Powtoon, a cloud-based service that allows users to create their own professional-looking videos. But what other option do you have, if you want to present information in a visual way? According to Hoffmann, video is the way to go. Specifically, animated video. “[It’s] better to grab people’s attention and get your point across than a long, boring presentation.”

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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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