Supercharge Your Data

Stop struggling with your data and empower smart enterprise with Graph Augmented AI

Enterprise AI is a category of software that harnesses advanced artificial intelligence techniques to drive digital transformation. Developing and deploying Enterprise AI at scale requires a new technology stack and an advanced data management solution. Meet CymonixIQ+.

Connect and Unlock your data

Connect & unlock your data​

Swiftly build a detailed map of your data world with our AI engine, showcasing all the important relationships.

Explore hidden insights

Explore hidden insights​

Gain a fresh perspective on your information as our AI unveils insightful relationships, adding depth and breadth to your understanding.

Ask better questions

Ask better questions

Chat naturally with our AI chatbot, Izzy, to improve how you ask questions and get smarter, context-based answers from your information.

Empower your team

Empower your teams​

Work seamlessly with your team by sharing data insights and creating tasks, all within the Workbench.​

Graph technology can serve as a Symantec search layer by enhancing the search capabilities with graph-based algorithms and data structures

Here’s how it can be implemented:

Data Indexing

Graph databases can index not only the data itself but also the relationships between data points. When a user performs a search query, the graph database can quickly traverse the graph to locate relevant data points based on their relationships, significantly speeding up the search process compared to traditional search engines.

Semantic Search

Graph technology enables semantic search, allowing users to find information based on the meaning and context of their query rather than just keyword matching. By understanding the relationships between different data elements, the search layer can provide more accurate and relevant results to users.

Contextual Understanding

Graph databases excel at capturing contextual information, which is crucial for effective search. By modeling relationships between different entities, the search layer can take into account the context in which data points exist, leading to more precise search results.

Relationship-based Ranking

In addition to keyword relevance, graph-based search engines can rank search results based on the strength and relevance of the relationships between data points. This helps prioritize the most relevant information for the user, improving the overall search experience.

Faceted Search

Graph databases support faceted search, allowing users to refine their search results based on various attributes and relationships. Users can navigate through different facets of the data to drill down to the most relevant information, making it easier to find what they’re looking for.

Graph Analytics

Beyond simple keyword search, graph technology enables advanced analytics on the data graph. Users can perform complex graph queries and algorithms to uncover patterns, detect anomalies, and derive insights from the data, providing a deeper understanding of the information landscape.

Real-time Search

With the ability to traverse relationships quickly, graph-based search layers can support real-time or near-real-time search queries. This is especially beneficial in dynamic environments where data is constantly changing, allowing users to access the most up-to-date information.

Integration with Existing Systems

Graph search layers can integrate with existing Symantec systems and data sources, providing a unified interface for searching across disparate data silos. This enables organizations to leverage their existing investments in Symantec products while enhancing search capabilities with graph technology.

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Defense Industry

Defense Industry

    • Logistics & Supply Chain Optimization
    • Strategic Asset Allocation
    • Biometrics for Personal Identification
Entertainment Industry

Entertainment Industry

  • Player Behavior & Analytics
  • Customer Loyalty
  • Dynamic Pricing & Revenue Optimization
Financial Services

Financial Services

  • Automated Claims Processing
  • Advanced Fraud Detection
  • Investment Portfolio Management
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