We offer software training and software consultancy services for identifying abnormal link patterns developed over time within transactional data.
ENHANCE HUMAN CAPABILITIES
A common view on data is essential for all parts of the organizations that want to get maximum benefit from their internal and external data. SynerScope’s design to deliver all data for sense making in a single-pane-of-glass or SPOG is based on its deep knowledge of human cognition. We integrate artificial intelligence, machine learning and the latest deep learning into our solution in order to enhance our ability inate human capabilities for data analysis. While both machines and humans are capable of data analysis, a combination of human and machine will deliver superior results.1
There’s an ever-increasing range of point-solutions appearing on the market which are tested on everything from location (geo) to text, digital images, video, and voice data. However, with IoT and the Internet of Everything on the horizon and further increasing the complexity of data analysis challenges, it is difficult to believe that going forward we can handle our data driven world through non-integrated mosaics of tools on our computer screens.
For performance SynerScope packed its entire software stack into an appliance. We believe there are so many moving parts to both the software and the hardware for true Big Data capabilities that a well-tuned appliance will serve customers better than having to build their own stack of solutions. SynerScope is already operating in the field today at insurance enterprises with complex and large IT landscapes. Starting from thousands of files and tens-of-thousands of columns SynerScope can start to provide new insights and discoveries within 72 hours from installing the appliance on-site. The same solution can also be offered by several of the leading cloud providers, which offer a base for rapid expansion of the use of external data first and for many enterprises, soon also for their internal data.
1) HYDRA a chess computer following in the steps of IBM’s Deep Blue did lose against students aided by common laptops.
Where others focus on building the data-lake, we focus on getting the data-lake to value, by getting data in front of people in as many facets of your organization as possible.
We offer software training for identifying abnormal link patterns developed over time within transactional data.