Tag: Machine Learning

Voyance is a fundamentally new approach to infrastructure management using AI/ML technology and big data analytics – all enabled by AWS and its scalable cloud-computing framework.  With it enterprises are able to gain quantifiable insight into the operation of their networks and the impact on end user experience and productivity – something that, until now, was never possible.

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.

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.

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.

Many people think of genetic or genomic data as just one of many factors that can be used to understand our health. But to Dr. Maria Chatzou, the CEO of Lifebit, it is much more than that.

There are two key types of market participants; those who are trying to make money from the markets and those who are assigned to police those trying to make money. Examples of the former type include investment banks, hedge funds and asset managers, while examples of the latter includes in-house compliance, financial regulators and exchange surveillance teams.