#KnowledgeDiscovery

@opentext.bsky.social

2 months ago

OpenText was recognized as a Leader in the IDC MarketScape: Worldwide General-Purpose Knowledge Discovery Software 2025 Vendor Assessment.

Discover more: https://bit.ly/4oRcZ5F

#IDCMarketScape #KnowledgeDiscovery

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LavX News

@lavxnews.bsky.social

4 months ago

Ever feel like Wikipedia surfing could be more focused? Wikidive uses AI to actively guide exploration through knowledge connections, not just passive scrolling. Useful for discovering how ideas actually link up. Less rabbit hole, more intentional discovery. #KnowledgeDiscovery

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Roberto Interdonato

@interdonatos.bsky.social

5 months ago

1st Submission Deadline

📢 Call for Papers

Excited to share that submissions are now open for the ECML PKDD 2026 Journal Track! 🚀

2 Submission Deadlines:
1st : October 30, 2025
2nd : January 15, 2026

🔗Full details: ecmlpkdd.org/2025/submiss...

#MachineLearning #KnowledgeDiscovery #ECMLPKDD @ecmlpkdd.org #AI

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Access Innovations

@access-innovations.bsky.social

5 months ago

Unlock hidden connections with semantic search. It’s not just about keywords, it’s about meaning, context, and discovery. The future of knowledge is smarter, faster, and more connected. #SemanticSearch #KnowledgeDiscovery #AI #DataInnovation #FutureOfWork

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JMIR Publications

@jmirpub.bsky.social

6 months ago

Transforming Patient Feedback Into Actionable Insights Through Natural Language Processing: Knowledge Discovery and Action Research Study Background: Patient feedback has emerged as a critical measure of healthcare quality and a key driver of organizational performance. Traditional manual analysis of unstructured patient feedback presents significant challenges as data volumes grow, making it difficult to extract meaningful patterns and actionable insights efficiently. Objective: To develop and evaluate a comprehensive methodology for analyzing patient feedback data using natural language processing (NLP) and Knowledge Discovery in Databases (KDD) approaches, aiming to identify key patterns, themes, and variations in patient experience across different demographic groups and care settings, and to translate these insights into actionable improvements in healthcare delivery. Methods: This study applied an integrated KDD-Action Research framework to analyze 126,134 patient feedback entries collected at Alexandra Hospital, Singapore in 2023. A comprehensive suite of text mining techniques including sentiment analysis, topic modeling, emotion detection, and aspect-based sentiment analysis was employed to uncover patterns in patient-reported experiences. The dataset included 92,578 (73.4%) entries containing free-text comments, comprising 1,568,932 tokens with an average comment length of 16.9 words. Multiple analytical techniques were triangulated to ensure validity and reliability of findings. Stakeholder engagement throughout the research process facilitated the translation of analytical insights into practical improvements. Ethics approval was obtained from the National Healthcare Group Domain Specific Review Board with a waiver of informed consent granted for this retrospective analysis of de-identified patient feedback data. Results: Text mining analysis revealed a moderately positive overall sentiment across the feedback corpus (average polarity score: 0.42), with 68.8% of comments classified as positive, 25.4% neutral, and 5.8% negative. Topic modeling identified 10 distinct topics including staff attitude and service (10.2%), healthcare staff professionalism (10.1%), hospital environment (10.0%), and waiting time (10.0%). Aspect-based sentiment analysis highlighted nurse attitude (sentiment score: 0.65), staff helpfulness (0.61), and doctor expertise (0.58) as the most positive aspects, while waiting time (-0.42) and billing transparency (-0.28) emerged as the most negative. Demographic segmentation revealed significant variations in patient priorities, with younger patients (

JMIR Formative Res: Transforming Patient Feedback Into Actionable Insights Through Natural Language Processing: Knowledge Discovery and Action Research Study #PatientFeedback #HealthcareQuality #NaturalLanguageProcessing #DataAnalysis #KnowledgeDiscovery

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FreeWithAI.com

@freewithai.bsky.social

7 months ago

Glean AI - Platform for Agents, Assistant, Search Glean AI is a powerful enterprise search and knowledge discovery platform that enhances workplace efficiency. The AI delivers semantic understanding of

Glean AI – Platform for Agents, Assistant, Search

#KnowledgeDiscovery #EnterpriseSearch #WorkplaceEfficiency #AI #DataManagement #TeamCollaboration #SemanticUnderstanding #TechInnovation #BusinessSolutions #GleanAI #FreeWithAI

freewithai.com/glean-ai/

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mxHERO Inc.

@mxhero.bsky.social

9 months ago

Project Management in Engineering: Unearthing Buried Decisions What mxHERO's Mail2Cloud Advanced unearth past decisions directly from an organization's email record. The story is of a complex, long-term engineering…

Your AI tools just got smarter.
🤖 mxHERO Mail2Cloud Advanced connects to email across accounts, retrieves original messages + attachments, and sources from your own cloud.
🎥 See how it helped solve a design mystery: vimeo.com/1090770713
#MCP #EmailAI #KnowledgeDiscovery

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@softtechhub.bsky.social

11 months ago

Ways to optimize your use of Gemini Deep Research https://softtechhub.us/2025/03/21/ways-to-optimize-your-use-of-gemini-deep-research/ #GeminiDeepResearch #DataOptimization #ResearchTools #AIResearch #InformationManagement #ProductivityHacks #DataAnalysis #EfficientResearch #TechTools #KnowledgeDiscovery #ResearchStrategies #AIOptimization #InsightGeneration #ResearchEfficiency #SmartResearch

Ways to optimize your use of Gemini Deep Research
softtechhub.us/2025/03/21/w...

#GeminiDeepResearch #DataOptimization #ResearchTools #AIResearch #InformationManagement #ProductivityHacks #DataAnalysis #EfficientResearch #TechTools #KnowledgeDiscovery #ResearchStrategies #AIOptimization

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Matthew Turland

@matthewturland.com

1 year ago

Revolutionizing Knowledge Discovery with GenAI to Transform Document Management Today’s organizations typically have the tools and capabilities to handle huge amounts of data. Still, finding the right information at the…

Revolutionizing #KnowledgeDiscovery with #GenAI to Transform #DocumentManagement | by Roddam Harshavardhan Reddy | #Intuit Engineering | Mar, 2025 | Medium
medium.com/intuit-engin...

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Matthew Turland

@elazar.phpc.social.ap.brid.gy

1 year ago

Revolutionizing Knowledge Discovery with GenAI to Transform Document Management Today’s organizations typically have the tools and capabilities to handle huge amounts of data. Still, finding the right information at the…

Revolutionizing #KnowledgeDiscovery with #GenAI to Transform #DocumentManagement | by Roddam Harshavardhan Reddy | #Intuit Engineering | Mar, 2025 | Medium
medium.com/intuit-engineering/revol...

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Tandar Consulting

@tandarconsulting.bsky.social

1 year ago

Unlock the power of intelligent search with Perplexity AI! 🚀
Tired of sifting through endless search results? Perplexity AI is your go to solution for quick, accurate, and comprehensive information.

#PerplexityAI #AISearch #ProductivityHack #InnovativeTech #AIAssistant #KnowledgeDiscovery

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Uveler Marketing

@uvelermarketing.bsky.social

1 year ago

Read our new blog at Uveler.Marketing

#DeepSeek #KnowledgeDiscovery #LearnBetter #InformationRevolution #SmartSearch

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Mindbreeze

@mindbreeze.bsky.social

1 year ago

Mindbreeze was recognized for knowledge management capabilities and customization in the IDC MarketScape: Worldwide Dedicated Knowledge Management Solutions 2024 Vendor Assessment (doc #US51541224, December 2024).
inspire.mindbreeze.com/idc-marketsc...
#AI #KnowledgeDiscovery #GenerativeAI

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