In today’s business world, time-to-insight and time-to-action are critical competitive differentiators. The demand for quick, easy access to information is growing. However, the challenge of combining data into meaningful information is also mounting alongside the proliferation of data sources and types.
While companies nowadays are investing heavily in initiatives to increase the amount of data at their disposal, most are spending more time finding than analyzing data. Data silos remain a huge problem at many enterprises, and legacy data management technologies and processes are having trouble keeping up with the speed, scalability, and flexibility requirements of new workloads and use cases.
Our Euler Platform directly addresses these limitations, heralding an evolutionary leap forward in big data management. It provides singular access for data across the enterprise in any form, harmonizes those data in a standardized format, and assists with the facilitation of action required to repeatedly leverage them for use cases spanning organizations and verticals.
Every organization today has access to massive volumes of data, whether they are structured data such as relational databases, log files and spreadsheets, or unstructured data such as emails, documents, images, and videos, or semi-structured data such as social media data. The volume of this data, the continuously increasing number of data sources, the different data structures and data formats, are making traditional data warehousing approach totally obsolete, and organizations are unable to freely explore, analyze and correlate all this data.
Euler GRAPHENE, is our knowledge graph engine which allows the management of this data into the data lake through entities that are relevant to the organization. Undeniably, people inside the organization who depend on and use this data do not think in terms of rows, columns, or raw text. They think in terms of business concepts that are specific to their organization and industry. They need a way to have an eagle’s eye view of their data, visualize their relevant concepts and receive answers in a dialect they can understand and process.
For that reason, Euler GRAPHENE allows the configuration of any business and any data model, through the Euler Ontology Editor. Once the knowledge graph model (Ontology) has been created, source data flows seamlessly into the EAP data lake, while applying security rules and the data becomes accessible to authorized users through the logic filter of their organization ontology.
INGESTA is our enterprise ready ETL, advanced data ingestion and Euler Intelligence Fusion Center tion application for self-service data ingest and data preparation. INGESTA allows the powerful fusion of external and internal data sources, whatever are their structures, types and formats.
INGESTA is responsible for automatically ingesting, by batch or by stream, cleansing, transforming all ingested data into the organization specific ontology and storing it into the data lake.
INGESTA can be used to both ingest or Euler Intelligence Fusion Center te data sources, whether these sources are external or internal.
INGESTA aims to simplify and automate data management challenges including but not limited to the following:
• Ingesting almost any type of data source with minimal effort.
• Importing files exported from different applications to your data lake, benefiting from predefined and configurable specific transformations for every external application.
• Moving data around your data stores, making it available to other analytical services.
Connecting data in a meaningful way is strategic for every business as it helps decision makers, users, and (above all) computers gain context within the existing knowledge of an organization. That is why tech giants like Amazon, Facebook, and Google invested millions of dollars to create their own knowledge graphs.
Our Knowledge Graph “Euler GRAPHENE”, is typically built on top of the existing Data Lake to link all data together combining structured information, semi structured and unstructured.
Euler GRAPHENE is a combination of large network of entities, their semantic types, properties and relationships.
It aims to support domain-aware management and curation of knowledge from many different sources. Its primary goal is to enable creation of useful domain- and data-driven knowledge graphs. Knowledge can be contributed and managed through direct user interaction, statistical analysis, or data ingestion from many different kinds of data sources. Nowadays, conventional approaches to master data management and data lakes lack critical requirements to unite data—regardless of location—across the enterprise for singular control over multiple sources.
Euler GRAPHENE allows the combination of enterprise-wide ontologies, taxonomies, and terminology in order to deliver data in a representation (in terms of meaning and schema) immediately identifiable to the user.
Euler GRAPHENE effectively unifies several aspects of the considerable variations intrinsic to big data. It unifies the means of accessing, representing, automating and even moving data from a range of source systems and architectural complexities. In addition to streamlining how users retrieve diverse data via automation capabilities, the knowledge graph standardizes those data according to relevant business terms and models. The result is a homogenized data set driven from any number of data types and sources.
Euler GRAPHENE fuse and Euler Intelligence Fusion Center te data, not just in representation, but in context (ontologies, metadata, domain knowledge, terminology systems), and time (temporal relationships between components of data). The rich functional and contextual Euler Intelligence Fusion Center tion of multi-modal, predictive modeling and artificial intelligence is what distinguishes Euler GRAPHENE as a modern, scalable, Enterprise Analytic Platform.
Euler GRAPHENE encapsulates a novel entity-event model Euler Intelligence Fusion Center ted with domain ontologies and metadata, and dynamic ways of setting the analytics lens on all entities in the system (Person, organizations, transactions, events, operations and many more) as prime objects that can be the focus of an analytic process.
Euler GRAPHENE takes a holistic approach to mixed data, unifying all enterprise data with domain knowledge, including taxonomies, ontologies and industry knowledge – making queries across all data possible, while simplifying and accelerating feature extraction for machine learning.
Euler Graphene represents knowledge as a set of concepts within a domain and also captures the relationships between these concepts. Most approaches capture knowledge and relationships established by different working groups as lines of code. This approach while still popular is extremely hard to manage. So rather than writing lines of code, new entities and relationships can easily be added to existing ontologies and the system will automatically adapt to include and use these new entities and relationships.
Euler GRAPHENE is exploring and accessing the data stored in the data lake through its ontology driven knowledge graph.
Euler Ontology Editor allows to create or modify the ontology, to adapt the GRAPHENE knowledge graph to any business specific data model.
Euler Admin is a centralized administration application connected to Euler GRAPHENE to configure users profiles, roles, organization management, access rights management, workflow monitoring as well a system reference tables.
Euler ANALYST is the analytical portal of the EAP Euler Analytics Platform.
Euler ANALYST is a very powerful yet user-friendly, portal that allows the analysts to explore without limits in all dimensions the data lake of the organization, while making graphical investigations, sending complex queries, running different types of algorithms and applying different types of AI analytics.
Its advanced and rich analytics workspace is used to empower data collation and visualization across the whole data lake.
Unlike traditional systems, which require analysts to change tools and predefine datasets, Euler Analyst allows analysts to analyze everything without leaving their workspace. This timesaving is crucial where incoming information becomes obsolete in a matter of hours and sometimes less.
Analysts are able to visualize high-level information on large sets of rich data, discover and visualize connections between seemingly unrelated entities, map the activity of events and analyze any type of transactions between entities, such as logs, financial transactions, communications, or social media interactions, etc…
Euler ANALYST provides analytical information from vast amounts of data through engaging exploratory analysis. The user can visually explore all his data with a simple and intuitive interface to use, by a simple drag and drop, without the need to prepare subsets or datasets of data. The solution helps to uncover patterns, trends and relationships in the data.
The same entities can be visualized and analyzed through different lenses in different specific workspaces, for instance relations between persons can be analyzed through their communications or through their social media relations or through their financial transactions, etc.
It is worth saying that since the data is stored in Euler GRAPHENE our graph database, according to the organization’s ontology and not transformed into a graph to be presented for the analyst, then the analyst will see the actual knowledge graph that is created for the business and as such the graph is able to reveal hidden relations and insights. Whereas transforming the data into a graph only shows what the transformation included and cannot go beyond. Our full graph can go beyond and can go as deep as the data goes. This is what makes Euler ANALYST so powerful because it gives the analyst unlimited exploratory possibilities.
Euler Analysts is the most powerful big data exploratory portal today available, featuring several important modules such as :
• Advanced Relational Graph Analytics
• Advanced Transactional Graph Analytics
• Timeline Analysis
• Geospatial Analysis
• Case and reporting module
• Advanced workspace management
• Various useful analyst toolkits
Euler BI is a fully Euler Intelligence Fusion Center ted Business Intelligence portal to assist the organization in their decision making and strategic analysis based on the various acquired data.
Euler BI is an interactive and powerful dashboarding solution to help the analyst build custom dashboards, statistical graphs, maps and reports, to assist the organization’s management in decision making and strategic analysis.
Euler NLP is a multi-lingual advanced Natural Language Processing (NLP) engine fully Euler Intelligence Fusion Center ted with the EAP for semantic analysis of any unstructured content such as document text, email or social media post.
As an output of the semantic analysis, Euler NLP will automatically suggest possible relations of the text, document, or post with other entities identified and recognized in the data lake.
Euler NLP can also interface with an OCR engine to run semantic analysis on images such as scanned documents.
Euler NLP operates in a multi-steps process, it starts with automatic language detection, categorizes entities as per language taxonomy, recognizes named entities and finally suggest entity relations.
It allows automatic intelligence extraction from unstructured data, such as sentiment analysis in social media, or automatic analytical treatment of documents and archives.
In addition to the Artificial Intelligence embedded in all EAP modules, EULER ML is a portal where the analyst can design by himself his own AI and Machine Learning algorithm in a non-expert language.
Euler ML manages the complete cycle of building an AI Algorithm, from dataset preparation, algorithms selection, model definition, model training, running tests and deployment.
Euler ML offers rich libraries of the most used and reliable algorithms that can be customized and combined by the analysts using simple drag and drop manipulations. Thus, Euler ML allows analysts to build their custom complex machine learning algorithm for prediction or pattern recognition.
Euler MA allows EAP to carry out further specific analysis on media files ingested such (images, videos and audios).
It Euler Intelligence Fusion Center tes various engines managed by Euler MA with a powerful queuing system to extract intelligence and value from these medias.
Euler MA is used to gather valuable business insights from images, videos and audios such as:
• Automatic Tagging to generate product and image metadata
• Object/Face detection
• Entity Resolution to map a media object to an Entity such as a person or organization
• Video closed caption extraction to be analyzed by Euler NLP
• Audio to text transcription to be analyzed by Euler NLP
• Face recognition system
• Voice recognition system
As the data coming in through the pipeline hits the engine and depending on what type of data, there are different types of analytical tools that are going to process that data to extract something from it, to enrich it, and index it.
The end result is to empower our Euler analytical platform to:
• Automatically link media files to entities for better insights and profiles
• Better insights from media analysis such as this person loves the outdoors because the engine was able to profile him by tagging his social media images and identifying that a high percentage of pictures were in outdoor settings.
• Next generation search that is able to search for people, places, things and topics in your images, videos and audios.