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Expressing Queries to Mindbreeze InSpire
Mindbreeze InSpire offers an end-user or API numerous ways to express queries. Using various out-of-the-box natural language processing (NLP) plugins with the Mindbreeze semantic pipeline, a user can submit a human language style query.
Analyzing Result Sets with Mindbreeze InSpire
Mindbreeze InSpire can analyze result sets not only within our technology but with third-party technology as well.
Telemetry Functionalities: Personalize Your Mindbreeze InSpire Experience
Many technology solutions have their set interface, and that's the end of the story – or, at most, personalization can be done at a company-wide level. With Mindbreeze InSpire, customizations and personalization to the product are automatically delivered to enhance specific user experiences.
7 Trends 2022: Mehr Resilienz durch Wissensvermehrung
Von „Generative AI“ bis zur Veredlung der Hyperautomation: Im Zentrum des bevorstehenden Jahres stehen Informationen und wie diese intelligent kombiniert werden können, um etwa neue Erkenntnisse zu gewinnen, Prozesse zu verbessern oder das Kundenerlebnis auf eine neue Stufe zu heben.
Adobe Search&Promote End-of-Service: Where Will You Turn Next?
Starting on September 1st, 2022, Adobe Search&Promote will be discontinued. User interfaces will no longer be accessible on that date, and requests to APIs will deliver zero results.
Optimized Relevance to Provide Relevant Results
The ability to search for company-wide data in a single application is a powerful tool, but if the results of your search lack relevancy, the power of the solution loses value.
Semantic Pipeline – Daten verstehen und verknüpfen
Noch nie zuvor gab es so viele Informationen wie heute. Noch vor 10 Jahren beliefen sich die weltweit von Menschen generierten Datenmengen auf 30 Exabytes. Nur vier Jahre später war es bereits die 10-fache Menge und nun hat das weltweit erzeugte Datenvolumen einen neuen Höchststand erreicht.
A Beginner's Guide to NLP, NLU, and NLG
Artificial intelligence and machine learning methods performing tasks on data are standard worldwide. But, what about human language? Natural Language Processing (NLP), Natural Language Understanding (NLU), Natural Language Generation (NLG) have made a pretty significant splash over the last few years. Still, it is essential not to confuse the three, as their roles are unique.
Integrating Insight Engines Into Your Digital Workplace
With the way we work undergoing significant changes, not utilizing proper technology that focuses on knowledge management would be a significant disservice to your enterprise. Perhaps, not focusing on the employee experience would be even a more considerable disservice.
Ingest Data with Mindbreeze InSpire and the Semantic Pipeline
Enterprise data is located in multiple different sources. The process of ingesting data and content refers to transferring scattered data to a single destination. Once ingested with the semantic pipeline and stored in one location, the enterprise can further analyze and process the data.
An Interview with Amazing Business Radio: A Holistic View of the Customer
Our Founder and CEO, Daniel Fallmann, joined Shep Hyken of Amazing Business Radio for a discussion on empowering customer service agents with knowledge.
Understanding Your Enterprise’s Data with Knowledge Graphs
Your enterprise has data scattered across a wide variety of sources. The ability to extract that information and get meaning from it to make intelligent decisions is crucial to the state of your business.