loader
banner

Knowledge Graph Use Cases

Knowledge graph use cases

Challenges

Complex problems with unstructured data coming from multiple sources demand a connected and flexible foundation of data analytics. The use of knowledge graphs is a point of inquiry for more than 50% of companies who are looking for artificial intelligence solutions. Getting behind on using this technology means your company might lose the opportunity to use machine-understandable knowledge and get  insights for better decisions.

Opportunity

Knowledge graphs become more and more important for businesses that want to scale, as they help to connect machine learning models with graph technologies . This gives additional value and helps understand data correctly. Knowledge graphs are widely used in fraud, waste, or abuse detection, semantic search, personalized recommendations of products, and many other fields. With the use of knowledge graphs, your business will get higher-quality analytics to better leverage data.

why Redfield
OUR SOLUTION

Why Redfield

Having a wide range of experience in building and applying knowledge graphs for various industries, our experts will help you transform unstructured data into knowledge. We will deliver meaningful insights through visualizing flows of information, revealing communities, summarising relationships, and help you make more informed decisions

CRAFTED FOR YOUR BUSINESS

Similar Services

    Get in touch with us

    By submitting your information to our website you agree to the terms outlined in our Privacy Policy.

    Phone support

    +46 70 733 36 34

    Email us

    info@redfield.ai

    Address

    Fleminggatan 15A 112 26 Stockholm Sweden