The widespread adoption of the Internet of Things (IoT) resulted in large scale deployments of connected sensors and controllers. A disparate array of options were available to make the connected systems work. But this also introduced new problems in building any real production level system that is secure and scalable at the same time. It has been

The increasingly fragmented food ingredient industry faces the challenges of rampant adulteration, quality inconsistencies and taste inaccuracies. Detecting fraudulent ingredients, modifications and contamination is extremely difficult, with international food supply chains adding to the complexity. Current solutions such as laboratory analysis, tr

The growing 'mobility' of users and expanding enterprise perimeter has resulted in an increased attack surface. From on-premise and cloud-based systems to networked devices, securing these targets in today's hybrid distributed IT ecosystem is becoming increasingly complex. The Zero-Trust Approach is the most effective way to protect against today's

Using a digital circuit design inspired by quantum phenomena, the digital annealer computational architecture bridges the gap to the quantum world and paves the way for much faster, more efficient solving of today's business problem. The digital annealer support computation in Ising format (the same format used in Quantum computing). The digital an

The world for businesses applications is, if not already, dominated by cloud providers. The big three are Amazon Web Services (AWS), Microsoft's Azure and Google Cloud, and whilst AWS are the leaders, the other two are committed to get a bigger share. However, it's not uncommon for a company to have applications from two or three providers, such as

Our platform is an Artificial Intelligence (AI) platform, it is a proven processing method, integrating the complex analytics or machine learning models over the data created by your application in real time. It acts as a single point of truth for your data, any modules in your application can write, read and perform streaming analytics on it. All

The efficacy of Convolutional Neural Networks (CNN) has been proven in a wide range of machine learning applications. However, the high computational complexity of CNNs often hinders their widespread adoption for real-time and low power applications. FPGAs are poised to take a significant role for high-performance and low-energy computation of CNNs

Our company predictive analytics is for people operating in the Human Capital Management (HCM) market. Our market-leading software platform, in conjunction with our Predictive Analytics Engine, helps companies understand and predict the current and future value of their most important and expensive asset: their people. By removing the bias and subj

Our Edge Computing Platform (ECP) is a container orchestration system that is built based upon the open source kubernetes and docker. It implements automatic deployment, scaling, and management of containerized applications. And allows customers to effortlessly deploy their container-based applications to global scale, enjoying ultra low latency, h

The software platform that uses natural language processing & machine learning to synthesize and analyze massive text-based datasets. By leveraging our platform, strategists and researchers can spend less time searching, compiling and reading content and more time generating insights. The software's technology extracts key phrases and words from th