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The technology

What is ELEMENT™?

ELEMENT™ is a big data, cognitive computing, AI, contextual analytics system that covers the entire data life cycle. It’s composed of a host of capabilities addressing data acquisition and fusion through analysis, insight discovery and predictions, which are pre-built and pre-integrated. The capabilities can be combined to perform a virtually unlimited range of tasks that address our customers’ most critical business challenges.

 

Sensory

Cognitive

Discovery

Management

Gravity Hub

A key capability for any cognitive being is the provision to capture, filter, analyze and process data from its surrounding environment. ELEMENT™ Gravity Hub is tasked with gathering information, normalizing it, and preparing it for processing.

The Hub can ingest any structured or unstructured data, regardless of format, volume, velocity or method of acquisition. Data may be collected from any internal repositories, open sources, deep web locations, high credential data sources or any other information source relevant to the organization.

The Gravity Hub is fully automatic and is focused on immediate processing of Data In Motion. It includes ingesting raw data arriving from a multitude of sources, normalizing it, persisting it, and applying policies where immediate action is required.

  • BIG data COLLECTION IN CONTEXT
  • Capture, filter, analyze and process data from its surrounding environment

Cognitive Hub

A cognitive being is capable of understanding data, and exploiting it. ELEMENT™ Cognitive Hub is tasked with understanding data, and performing knowledgeable actions based on it.

The Cognitive Hub is continuously monitoring information ingested by the gravity hub, in order to enrich it and provide productive insights from it. The Hub is fully automatic and is focused on proactively retrieving information and searching for missing information, based on configurable policies.

ELEMENT™ Cognitive Hub interprets domain specific data insights, configurable by domain experts, to map the organization knowledge using Semantic (Neural) Networks, capturing the various Entities, Topics, Relationships, Domain-Specific-Lingo, and other aspects of organization data perception.

Unlike conventional data processing, which can only handle neatly organized structured data, ELEMENT™ applies artificial intelligence to understand unstructured data which is the predominant data available today, and at the same time are harder to consume.

Relying on Natural Language Processing capabilities, and domain specific knowledge, the Cognitive Hub can read data written for humans, in its context. It does so by using grammatical rules, semantic correlation, and sentiment interpretation of texts.

All ingested data continues flowing through configurable processes, that iteratively enrich the data in context. Available data is retrieved using federated querying from internally and externally mapped repositories, and where ELEMENT™ identifies gaps in data, it triggers searches to complete it (e.g. seek person address from a high credential source, while identifying its current location from social media).

In parallel, the data is persisted in the system hybrid data layer, having factual information arranged in Knowledge Graphs, raw data maintained and indexed in big data repositories, transactional data maintained in a data-warehouse, etc.

As the knowledge graph evolves, ELEMENT™ applies analysis tools to further exploit the collected data. Geospatial and Temporal analytics and Behavioral Science are applied to identify patterns and anomalies in data, understand their implications and act upon them. Entity Analytics are applied on the ingested information to perform Entity Resolution and Disambiguation, names resolution, Relationship Resolution, etc., Predictive Analytics is applied to device policies for mitigating risks, and acting on opportunities, and at the same time, ELEMENT™ seeks to enrich the governing Ontologies, to assist in the organization learning process.

The Cognitive Hub continues to apply logic based policies on the information, and where it judges human intervention is required, based on the maturity of information, its relevance, its impact, etc., it can also escalate it to the internal or external data consumer, deemed relevant, by pushing it to the Discovery Hub.

  • Constructing full KNOWLEDGE GRAPH UNIVERSE
  • Understand, analyze and exploit data; recommend and predict

Discovery Hub

The Discovery Hub is focused on the human interaction with the investigation process. The Hub facilitates the work of the analyst on the information processed by the system and, unlike the previous hubs, focuses on manually executed actions.

Information arrives into the Discovery hub actively via the Work Queue, which receives new and updated cases the Cognitive Hub decided to escalate for human intervention, documents ready for review, or alerts triggered as a result of enforced policies (rules, watch lists or risks).

Complete BPM-based Case Management embedded in this hub, governs the way data is flowing through the organization, who can access data, and how. A collaboration center further supplements the investigation process, allowing teams to discuss, share and disseminate data inside the organization and outside of it.

The Discovery hub also allows the analyst to interact with processed information, via an extensive set of analysis tools. The Hub offers a variety of big data visualization tools, rich set of search engines (including Full Textual Search, Visual Search Engine, Profile Search Engine, and more), integral analysis tools (such as Link Analysis, Geographic Analysis, Temporal Analysis), various Data Science tools, and more.

  • DISCOVERY and DATA VISUALIZATION
  • Facilitate human interaction with information processed by the system

Management Hub

Using the Management Hub the organisation can configure ELEMENT™ to meet its unique requirements and address its specific challenges. The management hub combines a set of powerful tools that controls the entire data transformation process of the organization.

At the heart of the Management Hub is ELEMENT’ Big Data Science Platform, which enables the user to configure workflows for Big Data transformation. Each of the workflows can governs how the system acquires, ingests, transforms, analyzes & persists specific data sets. The output of each workflow can be a enriched data set, knowledge graph, answer to a specific business question, etc.

Other capabilities the management hub offers include Knowledge Graph manager – allowing to structure the building blocks of the knowledge graphs, including entities, relationships and attributes;  Policy Enforcement – a Business Rules Manager (BRM) allowing to configure and execute conditional policies; Orchestration – a Business Process Manager (BPM) allowing to configure and execute interactive business processes; Data Curation – allowing to train the system learning mechanisms; Document Parsing – allowing to train the system with capturing data from semi-structured documents; Decision Scoring – allowing to configure and evaluate weights; and a variety of additional domain specific modules.

Enabling the connectivity and seamless integration to any data or data source, with 10s of domain specific modules, hundreds of ready-to-run examples, a comprehensive range of Text Analysis and Machine Learning tools, the widest choice of advanced algorithms available, and a powerful set of effective modules, the management hub is the best tool on the belt of a Chief Data Officer, and the ultimate way to bring the organisation data to life.

  • Own/control/manage and PERSONALISE YOUR ASSET
  • Unify all policies and logic of the organization in a centralized location

Breakthrough technology that delivers data-enabled competitive advantage

 

Legacy systems, mobile technologies, analytics, cloud computing, the Web and social networks have led to the creation of a strong infrastructure, one which has helped prepare us for the next phase of technological evolution shaping our world: the Cognitive Computing Era. This era will bring about an unprecedented transformation in the way business is conducted, turning massive volumes of data and interaction into real-time situational awareness and new forms of business insight.

Blackswan Technologies offers its flagship software, ELEMENT™, to serve as an Enterprise A.I. Operating System™ that drives the Cognitive Computing Era. To us, “A.I” refers to the Augmentation and Acceleration of an organization’s Intelligence, multiplying the decision-making capabilities and impact of one’s employees. ELEMENT’s leading-edge computational engines and straightforward customization allow it to be tailored to any enterprise or commercial software effort that demands enhanced intelligence.

ELEMENT™ also comes pre-configured as ready applications for a variety of industry-specific functions, to yield rapid ROI from Cognitive Computing Out of the Box. Clients are discovering performance improvements in revenue and operational key performance indicators of 20% to 100%, as early as during initial pilot implementations.

About BlackSwan Technologies

BlackSwan Technologies is a SaaS Product company. Its Flagship product ELEMENT is a cognitive operating system that enables rapid development of Enterprise AI-Driven applications. ELEMENT is the foundation that can be used by enterprises across multiple industries to build robust AI applications, tools and workflows. With hundreds of pre-configured data fetchers, analytical functions, models and user interface components, element makes heavy use of knowledge graphs and a range of Machine Learning techniques to help companies improve outcomes and reduce costs.

BlackSwan ELEMENT is trusted by some of the largest, fastest, and most innovative companies in the world.