Market Need One of the most important components of blockchain technology is its ability to transfer monetary value and do so in untrusted environments. Blockchain has garnered much attention recently, primarily as it can be a secure, fault tolerant, highly available, transparent technology which can provide different levels of access to data. These aspects of [...]
MARKET NEED ETL (Extract Transform Load) software systems are responsible for the extraction of data from various sources, the cleansing, validation, and reformatting of data, and the insertion of data into a data warehouse. In some cases the source data is unfamiliar to the developer or analyst and has no apparent structure. ETL tools typically [...]
Market Need • In the modern online media landscape, there are often a wide range of articles from different media sources covering the same topic. • For busy web users who wish to obtain a quick view on a topic, it can be difficult to evaluate the best article to read. Technology Solution We have [...]
Market Need • Complex systems often include many different streaming data formats produced by different system outputs, sensors and sub-systems. • Often there is a need to integrate these homogeneous data streams in real-time in an efficient, scalable and fault tolerant way. Technology Solution We have implemented a heterogeneous streaming data integration demonstrator on Apache [...]
MARKET NEED Information is key in the modern commercial landscape and often we have very little time to do due diligence about a prospective client or business contact before or after a meeting. There is a need for a rapid information extraction system that takes a set of information about a person or business [...]
OntoCore has been designed as a tool-kit for the semantic enrichment of unstructured and semi-structured data with relevant concepts and relations extracted from publicly available Linked Open Data (LOD) repositories.
MARKET NEED There has been enormous growth in the field of sentiment analysis in recent years. CeADAR recently delivered Next-Generation Sentiment, software which provides a sophisticated measure of sentiment and a better understanding of the emotional composition of sentiment. While that solution allows the user to develop a very nuanced understanding of the sentiment expressed [...]
Market Need An inefficient supply chain has a detrimental effect on the profits achieved by any business. Many companies supply inventory to their customers via a consignment agreement, whereby the customer stores the product but is not invoiced by the supplier unless the product is sold or used. Inefficient consignment inventory policies result in the [...]
Continuous Metrics evaluates the effectiveness of various popular real-time stream-processing platforms (Spark Streaming, Storm, Storm Trident) for computing statistical metrics within different types of sliding windows over high velocity continuous streaming data.
Matching personas across different social networks, and determining similar user profiles
There are a wide range of techniques and approaches for clustering time series data, which all produce different types of clusters
Object detection, especially small object detection, is a well known and studied image analysis challenge.
There is a large quantity of information communicated through speech audio streams (phone calls, broadcasts, commentary etc.) across many industries.
Finding persons with certain behaviours and attributes in network data is a challenging task.
To support after-sales warranty services many companies manage a spare parts supply chain network. This involves the purchasing and positioning of spare parts in distribution centres across the supported region.
High volume, high throughput data streams are common in many industries including financial services, communications, web and gaming and production line environments (machine generated data).
In the always - connected 24 - 7 online marketplace, up - to - date knowledge is paramount for good decision making.