Tag: Machine Learning

Perhaps you think the world is already sufficiently mapped. With the advent of satellite images and Google Street View, it seems like every square inch of the globe is represented in data. But for autonomous vehicles, much of the world is uncharted territory. That’s because the maps designed for humans “can’t be consumed by robots,” says Tom Wang, the director of engineering at DeepMap, a Palo Alto startup that provides HD maps for self-driving cars.

Maral Kalajian, Marketing & Communications Manager at Watty, talks about how the Stockholm, Sweden-based startup makes tools to help people understand what is happening in their home in real-time. 

Datree connects with GitHub to provide automatic policy compliance tests and insights for every code commit. It provides managers a central place to set policies across the organization, and to have a full view of all code components, contributors, and repositories. CTO and Co-Founder Shimon Tolts talks about the risks of losing control, serving their customers, and more.

Business technology may be growing increasingly complex, but when it comes to cybersecurity, it remains a game of cat and mouse. Hackers and cyber criminals are currently creating malware at an unprecedented level to infiltrate websites around the world, disrupt business, steal company secrets, shut down sites, and take customers’ information. In 2017 alone, over 120 million new malware samples were detected. And even if your business deploys state-of-the-art signature-based detection systems and malware sandboxing, it can quickly get overwhelmed by a daily deluge of new threats. Sunnyvale, Calif-based Blue Hexagon, however, thinks it’s cracked the problem.  

With an aim to make the overwhelming variety of master data simple to consume, Bernhard Bicher and Tobias Widmer founded Onedot in 2014 in Zürich Switzerland, with a focus on processing structured and semi-structured product master data.

Panoply is a smart data warehouse for BI and basically layers machine learning algorithms on top of Amazon Redshift.

As an SAP Operations Manager you need to ensure that IT systems are operating at maximum efficiency and in a Known Good State. As a result, you are under constant pressure to meet service level targets and performance metrics, such as Mean-Time-to-Resolution (MTTR). In this article, I address the three most important next practices for addressing this challenge.

When we started GenY Labs a couple of years ago, infrastructure was one of the biggest challenges for us. It wasn’t easy to find machine learning-tuned hardware. Even if we did identify an infrastructure service provider, the challenge was the ability to change the algorithm on their platform. With ambition and fire in the belly, our team at GenY Labs set out to solve this problem.

AI picked up a lot of heat through 2017 and 2018. In what felt like an overnight rush, interest exploded, as fresh information, new techniques, new products, and new risks hit the scene. News reports came in massive waves, and businesses scrambled to figure out where AI fit into their product offerings.

When it comes to transforming floods of raw data into clear, decisive business intelligence, Periscope Data remains on the cutting edge. To keep their commitment to their consumers, Periscope Data has developed a machine learning solution that leverages Amazon SageMaker as a core part of its machine learning workflow.