Tag: Machine Learning
Kateryna Khotkevych, Software Engineer at food delivery service Delivery Hero, talks to us about how data helps the delivery industry, how the company uses machine learning, and how AWS helps them grow their business.
For Ira Cohen, founder and chief data scientist of Anodot, timing is everything. Despite having 11 years of work at Hewlett Packard under his belt, he always knew that when the right idea and timing struck, he’d make his way into the startup world. The right idea? Anodot, an autonomous analytics company that uses machine learning techniques to equip business owners with the tools they need to learn and grow using data.
Gong is using artificial intelligence and machine learning to help sales teams improve their interactions with prospective buyers by analyzing these discussions in real time and providing Sales Conversation Intelligence.
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.
CTO and Co-Founder of Datree Shimon Tolts talks about the risks of losing control, serving their customers, and more.
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.