Knowledge Graphs are a tool used in AI to help enterprises connect and use large data sets. These graphs are derived from semantic relationships between words that are available in various domains and that are found in the data analyzed.

Our guide to starting down the road to Artificial Intellengence. In AI, it’s about the journey AND the destination.

As the information services landscape becomes more complex, your success as an information services provider hinges on your ability to deliver efficient access to the information that is most relevant to your customers and to do so while supporting their workflows.

For target management, one of the most frequent use cases for expert.ai Intelligence Platform is counterparty reputational assessment, the collection and correlation of information involving a customer, supplier, business partner, etc. whenever it emerges from source.

common sense to understand human language. Natural language processing has made great strides recently, but how much does AI truly understand of what it reads? Less than we think, but there is some hope.

Natural Language Processing (NLP) is a division of artificial intelligence that supports computers to understand and decode human language. For instance, it helps machines to convert unstructured data into meaningful forms. Here are various techniques used in NLP to serve the purpose

As the accurate comprehension of textual content always requires domain-specific knowledge, a knowledge graph that can be expanded upon based on the specific requirements of any use case can also offer great value.

When meaningfully used, these new sources of information can provide significant insight and avoid unnecessary treatments, minimize adverse drug events, maximize overall safety, and eventually lead to a more effective and efficient healthcare system. It can also support the objectives of personalized medicine.

Re-think how financial services research is conducted. Targeting and collecting information and looking for key words is no longer enough. Organisations must begin to deploy systems that are able to understand what information means and be able to discover how the content contained within disparate data stores are interconnected. Creation…

The ideal NLU solution is one that combines the automated learning and breadth of an ML system with the human precision and industry knowledge of a rule-based one. This hybrid system requires that you can explicitly change rules based on organizational knowledge, rather than depend on the system to learn…

For security and intelligence professionals tasked with protecting digital and physical assets, protecting against threats and providing timely intelligence, generating knowledge from data is essential. Analysis within the intelligence business is manifested by extracting meaning from ambiguous information, compiling comprehensive understanding from fragmentary indicators, discerning threat amidst seemingly benign activity…

What will you do today to leverage Cognitive AI for your organisation? Put your business on the path too advanced Artificial Intelligence technology. More than 60% of global data and analytics decision-makers say that their company is sitting on 100 or more terabytes of data.1 Customer and transaction data, product…

In this guide, we will cover what every CXO needs to know about unstructured data to take less-risky business decisions on investment in data and artificial intelligence.  

Advanced cognitive technologies are now able to add context to content, converting information into knowledge. Serious Digital transformation takes advantage of their firm’s unstructured data.