Category: Artificial Intelligence

If you spend any time on Twitter, you’re bound to see various complaints of why certain people and objects aren’t represented in the official emoji register. This is just the problem that the team at Emojer, a recent graduate of the Y Combinator Summer 2018 batch, is looking to solve.

When it came time for Fiverr to analyze the data around user behavior on its platform, the freelance services website did what many modern businesses do in terms of recruiting the right tool for the task: they engaged Amazon Web Services’s SageMaker. Amazon SageMaker is an API that enables developers and data scientists to readily build, teach, and position machine learning models to serve any need and at any scale.

It’s vital for the whole organization to experience and support data culture, rather than just the experts. Dataiku (a portmanteau of data and haiku) is a software company that lowers the skill level needed to develop projects using analytical AI.

To get a better understanding of the service and how it came to be, we sat down with one of the product managers of SageMaker, Kumar Venkateswar. He told us about what the team set out to build, the problems they were looking to fix, and what startups are currently using the service.

Designed with startup founders and technical staff in mind, the AWS Startup Day series was created to help accelerate startup innovation and growth and we’re excited to be bringing the event to London for the first time.

If you use a voice-based personal assistant like Alexa, chances are advances in AI have already made it into their backend for companies to yield savings from processing efficiency. But sooner or later, deep learning is going to change your life.

Artificial intelligence, one of the most promising technological developments of the past decade, has had a slow start finding wide use cases. Right now, it’s primarily being used by marketers and the military. But is that all it can do?

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.

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. AWS Developer Workshop at Web Summit 2017. That’s why it’s no […]

RedLock explains how their new AI-driven approach correlates disparate data sets across large, distributed AWS environments and how this provides a unified view of security and compliance risks.