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Evaluating Insight Engines
Not too long ago, we published a series of articles outlining a workflow and what it takes for companies, users, and decision-makers to evaluate an insight engine – such as Mindbreeze InSpire.
Find Valuable Information with Mindbreeze InSpire’s Various Connectors
Valuable information and relevant content exist in all data sources, making connection vital for high-level insight finding.
Trend #5: A Sustainable Future
The fifth and final trend revolves around the idea that the future will be sustainable – which is relevant on many technological levels.
Trend #4: Evaluating Information with Sentiment Analysis
Mindbreeze can effectively classify the sentiment related to your brand and product.
Trend #3: Intelligent Information Processing
One significant trend we see happening in 2023 is a drastic change from intelligent document processing to intelligent information processing.
Trend #2: The Increase of Explainable AI and Adaptive AI
In our blog covering the “Five Trends 2023: The focus is on the sustainable use of information,” we discuss the importance of Explainable AI and Adaptive AI increasing in the coming year.
How You Can Get The Most Out Of Sentiment Analysis
Tracking and analyzing sentiments has emerged on the scene alongside countless other automation processes in the last decade.
Trend #1 for 2023: The Necessity of Relevancy for Specific Departments
Information is vital for every department, but not all information is applicable to every department. With that being said, Mindbreeze takes necessary steps to ensure each department is receiving information from data sources that are valuable to them.
Fünf Trends 2023: Im Zentrum steht die nachhaltige Nutzung von Information
Angesichts der aktuellen Herausforderungen gibt es kaum ein Thema, das in den letzten Monaten mehr an Bedeutung gewonnen hat als Nachhaltigkeit.
Part Two – Proactive Information Management: Understanding Your Needs
As discussed in part one, Mindbreeze InSpire’s Proactive Insight Service allows users to categorize search results, create alerts, and optimize relevance with the help of machine learning – all possible with the seamless integration with your favorite business applications.
How Mindbreeze InSpire Uses Natural Language Question Answering (NLQA)
Have you ever been working on a project and needed immediate assistance answering a question?
Using Natural Language Processing for Artificial Conversation Engines
Mindbreeze InSpire's Natural Language Processing Service uses deep learning models to capture the meaning of content and each end user's search query.