Ressourcen
Blog
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.
Using Holistic Views to Enhance Customer Service and Experience
We live in a world where everybody would like their questions and needs taken care of right away. This mindset causes added stress to customer service representatives as customers pile them with support tickets, dials, and chat messages.
Why You Need Clear Business Objectives Before Launching An AI Solution
Artificial intelligence (AI) can make a great addition to your toolkit. But the truth is that AI can also be a waste of time and money if you use it to try to solve the wrong problems or don't have clear objectives from the beginning.
Applying the Right Technology for Pharmaceutical Research: There's Too Much at Stake
Research is a crucial component to all industries and business areas, but it is near impossible to make a case against the importance of proper pharmaceutical research.
Information insight for your business
Unternehmen stehen unter dem ständigen Druck. Sie wollen aber vor allem auch müssen stets besser, schneller sowie effizienter sein um am hart umkämpften Markt bestehen zu können.
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.
Insight Engines: Worauf es ankommt!
Von der Klassifizierung von Dokumenten, dem intelligenten Verknüpfen und Aufbereiten von Informationen aus internen und externen Datenquellen bis hin zum Darstellen von Assets und komplexen Prozessen – die Anforderungen an intelligente Wissensmanagementlösungen sind heute groß.
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.
Die Bedeutung von Daten im Life Science Sektor
Daten sind der Lebensnerv der Pharmaunternehmen, Forschungsinstitute und -Einrichtungen.