AWS Startups Blog

CloudBolt on Harnessing the Power of Cloud-Native Resources for the Enterprise

Whenever your favorite banking, rideshare, or collaboration apps introduce a new feature or enhancement these days, it’s hard to miss. In some cases it’s welcomed—like being able to take a snapshot of a receipt or check to update an account. In other cases these changes might be a little annoying—like having to receive a digital code on your smartphone to enter and continue to the next step for a customer service request.

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How to Build your Mobile App with AWS

Ever wondered how growing startups use AWS to build, scale, and change the ways their customers live and work? Read on to learn how three London-based mobile app startups got their starts and what AWS tools and services they used to launch their MVPs.

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Bringing the Beauty Industry into the Digital Age with Slick Co-Founder Matt Millar

The ability to easily make reservations online for goods and services may seem ubiquitous, but many industries have not yet found the technology to match their needs. When Matt Millar and his colleagues found that 70% of the beauty industry was still running on pen and paper, he and his partners founded Slick, a salon management platform that helps hair and beauty professionals book appointments, manage calendars, and save money.

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Blue Hexagon on Combating Automated Attacks with Deep Learning

Saumitra Das, CTO & Co-founder, and Ali Ahmadzadeh, Head of AI, at Blue Hexagon, share the volume and velocity challenges in the threat landscape today. They deep-dive into what a zero-day attack is, how it can shutdown your startup, and how deep learning can effectively solve these challenges. Learn how Blue Hexagon uses the cloud to accelerate deep learning for their network threat protection platform and the infrastructure considerations you can take to protect your startup’s platform early-on.

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Coralogix Sees the Forest for the Logs

Coralogix co-founder and CPO Ariel Assaraf started the company after completing his service in the Israeli army. He was working as the Quality Architect of Variant Systems when he noticed that there was a high error rate in what they were delivering to customers, even though they had multiple tools for production delivery and monitoring. He began to ask his teams why the tools to catch these errors weren’t enough, and discovered that even though the data was there, it was so overwhelming that the most basic parameters of what to look for weren’t clear.

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An Ocean of Data: Talking With Datameer’s Claudine Lagerholm

Oceans are made for exploration. That seems to be the subtext of the evocatively named Datameer, which uses Meer, the German word for ocean, to position itself in juxtaposition with data lakes. The name Datameer hints at the immensity and power of data, which shapes lives today in much the same way that ocean currents shaped those in previous centuries. It also hints at the sheer inscrutability of data. For most people, being presented with raw data and asked to interpret it is as bewildering as being presented with a view of a flat sea and told to list statistics about local fish populations. That’s where Datameer comes in.

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Zalando Uses Machine Learning to Take the Guesswork Out of Shopping

While fashion is sometimes seen as rarified and impenetrable, the reality is that most people engage with it on a daily basis. After all, everyone has to put on an outfit each morning—and those clothes have to be chosen and purchased somewhere. In Europe, that place is often Zalando. Founded by business school friends Robert Gentz and David Schneider in 2008, the publicly traded company (it IPOed in 2014) has 26 million customers in 17 countries, making it Europe’s biggest online-only store for clothing and shoes (and, more recently, beauty products). The site offers 300,000 items from around 2,000 brands, along with free shipping, same-day delivery, and 100 days to return unwanted purchases. Like many online retailers of its size and user-friendliness, anticipating customer behavior—what they will want to buy, and when and where and how they will want to buy it—is crucial to Zalando’s success.

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Studio71 Leverages AI and Machine Learning to Navigate Influencer Marketing

It’s an understatement to say that the influencer marketing space is highly complex. New influencers, new types of content, and new ways to post and promote said content seem to pop up daily. Studio71, the LA-based digital network I joined seven years ago, has always been a great partner for brands to help them navigate the influencer marketing space and find the best way to get their message to the right audience, and today we’re launching new tools to using artificial intelligence and machine learning powered by our new Arrow Intelligence Platform and Amazon Web Services.

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Neura Puts Mobile Apps on Notice

Have you ever experienced notification fatigue? That’s the industry term for when your mobile apps prompt you to act so often that the notifications themselves become a burden, rather than a helpful reminder. In fact, if you look at the number of notifications that are opened in the industry, it’s “less than eight percent,” says Daniela Jinich, a business development manager at Neura. Neura aims to transform mobile notifications using AI and machine learning to create context-rich user profiles that can deliver notifications to customers when they need them. Given the current open rates, Neura’s got a big task ahead of them.

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