Cogito integrates the best of Natural Language Understanding and Machine Learning to intelligently automate business processes and harvest relevant knowledge from all the information available.
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Automate knowledge intensive processes through accurate Natural Language Understanding
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Gain insight from all the information available to support strategic activities through AI-based search and discovery
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GARTNER
Expert System was among the select companies that Forrester invited to participate in Q2 2024 Forrester Wave™: AI-Based Text Analytics both People-Focused and Document-Focused Platforms.
FORRESTER
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AXA XL
Expert System ranked highest for depth of functionality, mix of rules and machine learning criteria. Cogito produces one of the highest levels of accuracy on an untrained data set.
FORRESTER
Artificial Intelligence is a reality. The cognitive computing solutions of Expert System enhance our efficiency and effectiveness and thus help us to improve customer services and propositions.
ZURICH
Your enterprise’s strategic, tactical, and operational insights are not complete without information hidden in unstructured data.
FORRESTER
We were pioneers with the introduction of our chatbot with the Cogito technology…. The results have been exciting: in just six months, we have reduced customer care call volumes by more than 40%.
FASTWEB
Robotic Process Automation powered by Artificial Intelligence reveals even greater insight in automating business processes: text analytics is leading the way in driving RPA and AI convergence.
FORRESTER
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GENERALI
Intelligent technologies are a must for extracting value. Cogito technology leverages AI to make the intersection of information retrieval and text analytics real and profitable.
GARTNER
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Why is the Knowledge Graph critical for AI?
How is Expert System's Artificial Intelligence unique?
What is the business value of Expert System’s AI?
How is cognitive search transforming knowledge discovery?
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What is the link between AI and RPA?
Why is the Knowledge Graph critical for AI?
Cogito’s Knowledge Graph is a linguistic representation of knowledge where concepts are connected to one other by semantic relationships, enabling a more accurate understanding of text. A pretrained and transparent Knowledge Graph like the one embedded in Cogito enables human-like understanding of the meaning of words in context and supports the implementation of explainable AI projects.
How is Expert System's Artificial Intelligence unique?
Expert System’s Cogito is the only Natural Language Understanding AI technology that provides a human-like understanding of the meaning of each word in a text. Cogito leverages the deepest text analysis, starting from linguistics (morphological, grammatical and syntactical analysis) to semantics, including word disambiguation and an embedded, domain-independent and pre-trained linguistic model (Knowledge Graph). This translates into the fastest, most accurate and cost effective implementation of AI in the enterprise.
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Enterprises and government organizations use Cogito to gain efficiencies by automating knowledge and document-based business processes and to make more informed decisions through the insight discovered in internal and external unstructured information sources.
How is cognitive search transforming knowledge discovery?
Cognitive search leverages NLU to increase precision, the capability to extract the correct knowledge from text, and recall, the capability to extract all the knowledge present in unstructured information. This allows an organization to more effectively use ALL the knowledge available in support of decision making processes.
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By extending the text analysis offered by NLP to understanding the meaning of words in context and of the relationships between concepts in a text, NLU provides the ability to automatically manage even complex text with high accuracy. In this way, NLU enables the application of AI to a broader and more strategic set of use cases inside the enterprise.
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AI-based text analysis allows organizations to augment and scale the capability of human-like understanding to process complex text. In this way, it expands the implementation of RPA to knowledge-intensive processes that include the management of complex information in documents.
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