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The semantic pipeline – understanding and connecting data
Never before has there been as much information as there is today. Just ten years ago, the amount of data generated globally was roughly 30 exabytes.
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
Companies are under constant pressure. To survive in a fiercely competitive market, they don’t just want to be better, faster, and more efficient, they have to be.
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: What really matters
From classifying documents, linking and preparing information from in-house and external data sources intelligently, to displaying assets and complex processes – the demands on today’s intelligent knowledge management solutions are immense.
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.
The role of data in the life sciences sector
Data is the lifeblood of pharmaceutical companies, research institutes, and research facilities.