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Work With Data
Analyze, visualize and extract data from open sources, augmented with unique AI.

What is Work With Data?

Work With Data enables users to analyze, visualize, and extract information from a wide array of open data sources. The platform integrates this data into a single, unified ontology, enhancing it with proprietary AI capabilities for deeper insights. Users can explore millions of entities across diverse categories such as companies, countries, artists, politicians, and scientific topics.

The service covers multiple domains including Business, Culture, Politics, Science, Sports, and World affairs. It provides tools for staying updated with the latest news relevant to specific sectors and offers data enrichment options for users who bring their own datasets. The platform aims to model the world through structured data, making complex information accessible and usable.

Features

  • Data Analysis: Analyze information compiled from numerous open sources.
  • Data Visualization: Visualize complex datasets for clearer understanding.
  • Data Extraction: Extract specific data points from integrated sources.
  • Unified Ontology: Access data structured within a single, consistent framework.
  • AI Augmentation: Utilize unique AI for enhanced data insights and analysis.
  • Entity Exploration: Investigate detailed information on millions of entities across various categories.
  • News Screening: Monitor the latest news relevant to specific business, cultural, political, or scientific domains.
  • Data Enrichment: Augment existing datasets with external open-source information.

Use Cases

  • Conducting market research by analyzing company, industry, and economic data.
  • Tracking political developments by exploring data on politicians, parties, and countries.
  • Researching cultural trends through information on artists, books, artworks, and museums.
  • Analyzing scientific data related to diseases, climate, or other research areas.
  • Staying informed about global events and news across multiple sectors.
  • Enriching internal databases with comprehensive external data.
  • Building applications requiring structured data about the world.
  • Performing competitive analysis by examining sector and company data.

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