SynerScope: ‘seeing’ data as Augmented Intelligence
SynerScope has focused on making unstructured data such as text and images visible and interactive, and quickly bringing together multiple data sources. That’s why SynerScope is built on the core principles of Visual Analytics and Visual Perception.
Augmented Intelligence is designed to work in tandem with human intelligence. It increases and broadens our cognitive skills. It helps users with interpretation, insights, recommendations and provides interactive feedback to people. The flexibility of human cognition thus remains applicable, even when the volume of data exceeds human capacity. SynerScope’s solutions and products combine Machine Learning, AI, NLP (natural language processing), image and network processing. Together with the specially developed interface, this provides a rich interaction environment for human interpretation, querying and machine feedback. We deliver a system that can quickly provide insights and answers based on your data, without developing specific models. In addition, Augmented Intelligence, and SynerScope in particular, is able to assist in the selection of data for use in AI and avoid unnecessary bias arising from your data.
Augmented Intelligence uses AI to manipulate and transform data for enhanced human perception and processing.
AI can use Augmented Intelligence in the definition and preparation of an AI model development process. It supports making the best possible choice from potential training data and helps prevent bias and promotes transparency about the data involved in model development.
With AI included in an Augmented Intelligence solution such as SynerScope, we create possibilities when the scale of the data exceeds human capacity, without sacrificing flexibility for new tasks or new forms of data.
SynerScope has tested a large number of these basic ML and AI in recent years. We were the first party in the world to compile Tensorflow on IBM Power8 servers (2016). That same year we started our transition to the cloud, first Amazon AWS and later increasingly to MS Azure. In that process during 2016-2018, we paid close attention to which cloud provider our customers were attracted to.
By offering data and information to people in easy-to-process visual forms and patterns, data and information can be processed and communicated faster than is feasible with numerical or text input and output alone. SynerScope has developed the possibilities of using and combining visualizations of unstructured, network and data similarity and NLP extractions into a groundbreaking whole. Its visual analytics screens are ideally suited for interpretation and manipulation by both subject matter experts and data scientists. SynerScope has also proven itself for analysis through the collaboration of a group of people, comparable