Welcome to the KM HUB webpage, where you'll discover a curated collection of website links filled with valuable information that caught my attention during a specific period. Consider this your go-to destination for enjoyable reading during a break. Rest assured, this page will receive periodic updates whenever new content emerges.
Connected Papers is a visual tool that helps researchers and applied scientists find and explore papers relevant to their field of work. It was created by Alex Tarnavsky, Eitan Eddie Smolyansky, and Itay Knaan Harpaz from Israel, and started as a weekend side project.
Knowledge Graphs, this book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia.
OSS Insight is a powerful tool that provides comprehensive, valuable, and trending insights into the open source world by analyzing 5+ billion rows of GitHub events data.
George Anadiotis: With a proven track record as a multi-award-winning consultant, I've had the privilege of operating at the COO
level across diverse sectors and industries. My core mission? To catalyse growth for impact by harnessing the power of human,
social, and intellectual capital through high-impact interventions. (Also see The Year of the Graph)
Kurt Cagle: The Cagle Report is a weekly Linked-In newsletter and (soon) podcast that takes a deep dive look at companies, organizations and ideas in the era of the Digital Workplace, and covers everything from Enterprise Data Management, AI, Data Modeling,
Knowledge Graphs, Machine Learning, and the connections that these all have to the way that we interact with the world.
Dr David Griffiths: With a proven track record as a multi-award-winning consultant, I've had the privilege of operating at the COO
level across diverse sectors and industries. My core mission? To catalyse growth for impact by harnessing the power of human,
social, and intellectual capital through high-impact interventions.
Professor Johann Kinghorn: Professor at The Centre for Knowledge Dynamics and Decisionmaking, Stellenbosch
Dr Christiaan Maasdorp: Specialties: Teaching: Knowledge Management, Organization Theory, Sensemaking in Organizations, Systems Theory. Research Interests: Embodied and Situated Cognition; Narrative in Organizations
Heather Hedden: Taxonomist & Ontologist. Book: taxonomies-vs-ontologies
Professor Eric Tsui: The list is too long....
Date added : 2023-10-11
kminstitute: Efficient Project Management for Knowledge Managers: Simplifying Complex Projects
- This is an article about efficient project management for knowledge managers. It discusses the importance of knowledge management in project management. It also details steps to take to improve project management efficiency. Some of the important points from this article are that it is important to identify accessibility challenges early on and to break down the project into smaller tasks. Additionally, using technology to improve efficiency can be helpful.
kminstitute: Breaking up the Barriers of a Knowledge Hoarding Culture in an Organization
- The article addresses the issue of knowledge hoarding within organizations and explores strategies to break down this culture. It emphasizes the negative impacts of knowledge hoarding on innovation and collaboration. The article suggests fostering a culture of knowledge sharing by promoting transparent communication, recognizing and rewarding knowledge sharing, and implementing technology solutions that facilitate information exchange. By breaking these barriers, organizations can create a more collaborative and innovative environment while maximizing the value of their collective knowledge..
kminstitute: Strategies to Enhance Knowledge Flow within an Organization
- This article discusses strategies to improve knowledge flow within organizations. It emphasizes the importance of effective knowledge sharing for enhanced productivity and innovation. The strategies include creating a knowledge-sharing culture, utilizing technology for collaboration, promoting social learning, and implementing knowledge management systems. By fostering a culture of openness and providing the right tools, organizations can facilitate the smooth flow of knowledge among employees, leading to better decision-making, improved problem-solving, and increased competitiveness.
Monte Carlo: Data Stewards Have The Worst Seat At The Table
- The article discusses the challenges faced by data stewards in organizations and how they often find themselves in a challenging position, referred to as the "worst seat in the house." Data stewards are responsible for data quality and governance but often lack the necessary authority and resources to effectively fulfill their role. The article highlights the importance of supporting data stewards and involving them in decision-making processes to improve data management and organizational success.
Alation: The Alation Data Culture Maturity Model: The Path to Data Excellence
- The whitepaper discusses the Alation Data Maturity Model, which provides a framework for assessing an organization's data maturity. It outlines different stages of data maturity, from basic to advanced, and offers insights into how organizations can advance along this spectrum. The model focuses on areas like data governance, data quality, and data culture. It aims to help organizations understand their current data capabilities and develop strategies for improving their data management practices to become more data-driven and competitive.
Unit8: Data & Analytics Governance Trilogy
- The article is the first part of a data analytics governance trilogy. It introduces the concept of data governance and its significance in effective data management. The article discusses the role of data governance in maintaining data quality, ensuring data compliance, and optimizing data usage. It highlights the need for clear policies, data ownership, and data lineage to establish a robust data governance framework. By understanding and implementing data governance principles, organizations can enhance data reliability and make informed decisions while ensuring compliance with regulations.
Forbes: The 10 Biggest Business Trends For 2024 Everyone Must Be Ready For Now
- The article outlines the ten major business trends expected in 2024. It discusses the importance of being prepared for these developments, which include continued digital transformation, AI-driven decision-making, sustainability initiatives, remote and hybrid work models, supply chain resilience, and data privacy regulations. The article emphasizes the need for businesses to adapt and innovate to remain competitive in the evolving landscape.
Forbes: How Generative AI Is Revolutionizing Knowledge Management
- The article discusses the transformative impact of generative AI on knowledge management. It explains how AI technologies, like natural language processing and machine learning, are revolutionizing how businesses handle and utilize knowledge. Generative AI helps automate content creation, search, and retrieval, making knowledge management more efficient and accessible. The article highlights the potential for AI-driven solutions to enhance decision-making, facilitate knowledge sharing, and improve organizational productivity in the field of knowledge management.
- The article explores the application of knowledge management (KM) principles to informal conversations. It emphasizes the significance of capturing and utilizing knowledge from everyday, non-formal discussions within organizations. By using KM lenses, organizations can harness insights from these informal talks, promoting a culture of continuous learning and improvement. The article discusses methods to facilitate knowledge sharing in such settings, enhancing KM practices and fostering innovation.
medium: Revolutionizing data maturity assessments
- The article discusses a new approach to assessing data maturity in organizations. It highlights the limitations of traditional methods and introduces a more dynamic and comprehensive approach. The approach combines quantitative and qualitative measures, allowing businesses to better understand their data capabilities, identify areas for improvement, and make informed decisions. It emphasizes the importance of this data maturity assessment in the context of data-driven decision-making and provides insights into how organizations can revolutionize their data management processes for improved performance.
neuml hashnode: Introducing the Semantic Graph
- The article introduces the concept of the "Semantic Graph," which is a knowledge representation framework designed to enhance data understanding and knowledge management. It discusses how the Semantic Graph can connect and structure data using contextual relationships, enabling more meaningful insights and better decision-making. The article highlights its potential applications in fields like natural language processing, AI, and data analytics, emphasizing the value of this approach for organizing and extracting knowledge from complex datasets.
Kurt Cagle: Data for Nothing and Concepts For Free
- The article explores the idea that data without a clear conceptual framework is of limited value. It suggests that collecting vast amounts of data can be akin to having "data for nothing" if there's no meaningful context or understanding of what the data represents. The article emphasizes the importance of defining and using concepts to give data significance and offers insights into how conceptual thinking can enhance the value of data in decision-making and problem-solving processes.
Gartner: Discover the Future of Data Management 2023 Gartner® Hype Cycle™ for Data Management
- The provided link leads to a page related to the Gartner Hype Cycle for 2023 in the EMEA region. While the content on the page is not available directly, it likely offers insights into emerging technologies and their positions on the hype cycle, helping businesses and individuals understand the current trends and potential future developments in the technology landscape for the EMEA region. It may include analysis and recommendations for organizations looking to adopt innovative technologies effectively.
kminstitute: Efficient Project Management for Knowledge Managers: Simplifying Complex Projects
- This is an article about efficient project management for knowledge managers. It discusses the importance of knowledge management in project management. It also details steps to take to improve project management efficiency. Some of the important points from this article are that it is important to identify accessibility challenges early on and to break down the project into smaller tasks. Additionally, using technology to improve efficiency can be helpful.
realkm: How to look at ‘Informal Talks’ through a knowledge management (KM) lens
- The article explores the application of knowledge management (KM) principles to informal conversations. It emphasizes the significance of capturing and utilizing knowledge from everyday, non-formal discussions within organizations. By using KM lenses, organizations can harness insights from these informal talks, promoting a culture of continuous learning and improvement. The article discusses methods to facilitate knowledge sharing in such settings, enhancing KM practices and fostering innovation.
Date added : 2023-09-03
Medium: A framework to assess and enhance the maturity of data products
- Framework for assessing and improving the maturity of data products
Business Insider: CEOs and Understanding Data
- Emphasizing the importance of CEOs' understanding of data and AI.
Enterprise Knowledge: From Data to Knowledge… Strategy
- Trends in data management and maximizing knowledge extraction.
Tech Republic: Data Governance vs. Data Management
-Differences between data governance and data management for developing business insights.
Ontotext: Your Knowledge Graph Journey In Three Simple Steps
- Building knowledge graph solutions for data-driven business excellence.
Cornell University: Knowledgeable LLMs and Knowledge Graphs
-Examining the knowledge and roles of Large Language Models (LLMs) and Knowledge Graphs.
Cambridge Semantics: Data Semantics Approach
- Advancing business value through data semantics and knowledge graph technology.
Bigspark: Knowledge Graphs and AI
- Using knowledge graphs to enhance interpretability and explainability of AI models.
Deloitte: Knowledge as Capital
- Leveraging knowledge as a strategic asset for business advancement.
kminstitute: Breaking up the Barriers of Knowledge Hoarding
- Eliminating knowledge hoarding culture to promote collaboration and innovation.
Gartner: AI and Technology Trends
- Updates and trends in artificial intelligence according to Gartner.
- Identifying technology trends and the economic value of generative AI.
Medium: Announcing GraphXR 2.16
- Announcement of GraphXR 2.16, a graph visualization library with new features and improvements.
Towards Datascience: Building a Knowledge Graph
- Creating a knowledge graph from articles on mathematics and data science.
Cassie Kozyrkov: Data Perspectives
- Challenging misconceptions about data as a scientific relic.
Industry Knowledge Graph: Industry Knowledge Database
- Offering insights into a comprehensive model of the global economy with a focus on industry competitors and brands.
Date added : 2023-08-18
TowardsDatascience: Graphs with Python: Overview and Best Libraries
-The article discusses the basics of graphs and how they can be used in Python. It also provides an overview of the most popular Python libraries for working with graphs, such as NetworkX, DGL, and PyG.
Accenture: Accenture Invests in Stardog to Help Companies Optimize their Data Insights and Value
- The articles are about Accenture's investment in Stardog, a leading enterprise knowledge graph platform. Stardog's platform helps organizations make better use of their data by making it more accessible and understandable. Accenture's investment will help Stardog accelerate its growth and development, and make its platform available to more organizations.
Towards Datascience: Analyze Your Website with NLP and Knowledge Graphs
- The article discusses how natural language processing (NLP) and knowledge graphs can be used to analyze a website. NLP can be used to
extract information from the text on the website, such as the keywords, entities, and relationships between them. Knowledge graphs
can be used to represent this information in a structured way, which makes it easier to analyze.
The Cagle Report : Modeling Corner: Events, Meetings and RDF-Star
- The article discusses the challenges of modeling events and meetings in RDF-Star. RDF-Star is a semantic web language that is used to represent data in a way that is machine-readable.
- The new features of GraphDB 10.3, a graph database from Ontotext.
intellobics: Challenging 7 Knowledge Management Assumptions for Enhanced Organizational Success
- The article "Challenging 7 Knowledge Management Assumptions for Enhanced Organizational Success" is about the seven common knowledge management assumptions that can hinder organizational success. The article argues that these assumptions are flawed and that a more holistic approach to knowledge management is needed.
Real KM: Employee 360 Views: What are they?
- TIs about a type of performance appraisal that gathers feedback from multiple sources, such as peers, managers, and direct reports. The feedback is typically gathered through surveys or interviews. The goal of employee 360 views is to provide employees with a comprehensive view of their performance.
Real KM: Clarifying knowledge withholding, hiding, and hoarding
- The article discusses the three different types of knowledge withholding
Enterprise Knowledge: Top Knowledge Management Use Cases (with Real World Examples)
- The article discusses the top 10 knowledge management use cases, with real-world examples from organizations such as IBM, GE, and Spotify.
Real KM: How to write literature reviews for evidence-based knowledge management
- he article "How to Write Literature Reviews for Evidence-Based Knowledge Management" by Bruce Boyes discusses the importance of literature reviews in evidence-based knowledge management (EBKM). EBKM is a process of using research evidence to improve knowledge management practices. Literature reviews are a key part of EBKM, as they help to identify and synthesize the relevant research evidence
Forbes: What To Consider When Building A Data-Driven Company
- The article "What To Consider When Building A Data-Driven Company" is about the key factors that organizations need to consider when building a data-driven culture. The article discusses the importance of data governance, data literacy, data infrastructure, and data culture. It also provides some tips for organizations that are just starting to build a data-driven culture.
Gartner: Gartner highlights four trends shaping enterprise cloud, edge and datacentre investments
- The article discusses four trends that are shaping enterprise cloud, edge and datacentre investments in 2023
HBR: How to Train Generative AI Using Your Company’s Data
- The article discusses how organizations can use their company's data to train generative AI models. Generative AI models are a type of machine learning model that can be used to create new data, such as text, images, or code.
Forbes: How Generative AI Is Affecting Knowledge Management
- The article discusses how generative AI is being used to improve knowledge management in organizations. Generative AI can be used to create new knowledge, such as by generating new ideas or insights. It can also be used to improve the accessibility and organization of existing knowledge, such as by generating summaries of documents or creating knowledge maps
Gartner : Market Guide for Data and Analytics Governance Platforms
- Modern data and analytics initiatives need a balanced set of governance capabilities, but stand-alone products often do not provide what is needed. D&A leaders must therefore explore the emerging market of converging capabilities and exploit them to support their governance needs where they can.
Date added : 2023-08-01
The Cagle Report: What Is A Knowledge Graph, Really?
- This article delves into the concept of a knowledge graph, providing a comprehensive understanding of its definition, components, and applications.
- The article provides an overview of the current trends and advancements in the field of knowledge graphs, including geospatial knowledge graphs and personal knowledge graphs.
Stardog: The Need for a Metadata Knowledge Graph
- This article discusses the importance of a metadata knowledge graph and how it can improve data management and integration.
Enterprise Knowledge: How to Build a Knowledge Graph in Four Steps: The Roadmap From Metadata to AI
- This article provides a step-by-step roadmap for building a knowledge graph, starting from metadata and progressing towards AI integration.
Data Language: Data Graphs Drink Their Own Champagne
- This blog post explores the use of data graphs and their benefits in managing and analyzing complex data relationships.
Datanami: What Does It Mean for a Data Catalog to Be Powered by a Knowledge Graph?
- The article examines the significance of knowledge graph-powered data catalogs in organizing and accessing data effectively.
Bloomberg: Biggest Losers of AI Boom Are Knowledge Workers, McKinsey Says
- The article highlights a report by McKinsey stating that knowledge workers may face challenges due to the rapid advancement of artificial intelligence.
HBR: Why Becoming a Data-Driven Organization Is So Hard
- This Harvard Business Review article explores the difficulties organizations face when trying to become data-driven and provides insights into overcoming these challenges.
Deloitte: The New Knowledge Management - Mining the Collective Intelligence
- Deloitte's article discusses the evolving landscape of knowledge management and the role of collective intelligence in driving organizational success.
Intellobics: Information Management vs. Knowledge Management
- The blog post highlights the differences between information management and knowledge management, emphasizing their respective roles in organizational success.
CB Resourcing: Hiring your first Knowledge Manager
- The webpage provides insights and guidance on hiring the first knowledge manager for organizations, including key responsibilities and skills to consider.
Reworked: How Your Taxonomy Can Support Your Knowledge Management
- This article discusses the role of taxonomies in supporting knowledge management efforts. It explains how well-designed taxonomies can enhance information organization, retrieval, and knowledge sharing within organizations.
TechTarget: What are the Types of Knowledge Management Systems?
- The webpage explores different types of knowledge management systems, including document management systems, expert systems, and collaborative platforms, highlighting their functionalities and use cases.
Venturebeat: Top 5 Use Cases for Graph Databases
- This article explores the top use cases for graph databases, including fraud detection, recommendation systems, network analysis, and more.
Venturebeat: Top 5 Use Cases for Graph Databases
- This article explores the top use cases for graph databases, including fraud detection, recommendation systems, network analysis, and more.
Towards Data Science: Introduction to Knowledge Graph-Based Recommender Systems
- This article introduces knowledge graph-based recommender systems and explains how they leverage graph structures to provide personalized recommendations.
Towards DataScience: NLP with Python: Knowledge Graph
- This article introduces knowledge graph-based recommender systems and explains how they leverage graph structures to provide personalized recommendations.
Towards Data Science: Analyze Your Website with NLP and Knowledge Graphs
- This article demonstrates how to apply natural language processing and knowledge graphs to analyze website content, extract key information, and uncover valuable insights.
Medium: Just Load It into a Graph Database!
- The article discusses the advantages of using graph databases for storing and analyzing interconnected data, showcasing their suitability for complex relationships and efficient querying.
Towards Data Science: LLMs Could Become Weapons of Mass Disinformation
- This article discusses the potential risks and challenges associated with large language models (LLMs) becoming tools for disseminating disinformation.
Medium: LLM's Closing the KG Gap
- The article discusses how Large Language Models (LLMs) are closing the knowledge graph gap by enabling automated knowledge extraction and graph generation from unstructured text data.
Medium: The best way to explain data governance to beginners
- The article offers a beginner-friendly explanation of data governance, its importance, and key components for effective data management.
Towards Data Science: The Next Big Crisis for Data Teams
- This article discusses the challenges faced by data teams, including data quality, governance, and ethics, and explores potential solutions to address these issues.
The Wall Street Journal: Technology Was Supposed to Transform Insurance Pricing. It Hasn't.
- This article explores the impact of technology on insurance pricing and highlights the challenges faced in achieving transformation in this area.
Forbes: How Generative AI Is Affecting Knowledge Management
- This Forbes article examines the impact of generative AI on knowledge management practices, including content generation, automation, and decision support.
RealKM: Will AI Make Managing Knowledge More or Less Important?
- The article explores the potential impact of AI on knowledge management practices, discussing both the opportunities and challenges it presents.
HiTechNectar: Here are the Top Open Source Knowledge Management Tools
- This article presents a list of top open-source knowledge management tools that can enhance organizational knowledge sharing and collaboration.
- Considerations when choosing a Mapping Editor
for building a Knowledge Graph
- Introduction to knowledge graphs (part 1):
Definitions and applications
- Introduction to knowledge graphs (part 2):
History of knowledge graphs
- Knowledge Graph Industry Survey Report
- What Is Data and Analytics? (Gartner)
- Model: Relational to Graph (Neo4j)
- Ultipa Graph UI (Ultipa - LinkedIn)
- 2022 KM PROGRAM BENCHMARKS AND METRICS (APQC)
- Focus on Knowledge Management: how to automate
the management of information
- Using Knowledge Management To Improve Business
Longevity (KM Institute)
- The Intuitions Behind Knowledge Graphs and
Reasoning
- KM Needs Subject Matter Experts (APQC)
- 10 Signs You Need a Knowledge Management
Consultant (shelf)
- The Failure of Knowledge Management (Mark Burgess)
- What's upcoming from Cambridge Semantics in
2023 (Cambridge Semantics)
- Introduction to Graph Machine Learning
- Information Overload: An abundance that’s
depriving
- A Different Approach to Cloud Data Warehousing (IBM)
- Data Science Succeeds When It Solves These Two
Problems
- What factors affect employees’ motivation to
share their knowledge
- What are the types of knowledge management
systems? (TechTarget)
- Graph ML in 2023: The State of Affairs (Towards Data Science)
- How data, AI and automation can transform the
enterprise (IBM)
- Conversational Artificial Intelligence -
Impact Report (Gartner)
- 4 Emerging Technologies You Need to Know About (Gartner)
- New AI classifier for indicating AI-written text
- AI ChatGPT is helping CEOs think. Will it also
take your job? (CBS News)
- Global Graph Analytics Market
- Knowledge graph adoption - sales pitch for
getting executive support (Medium)
- How To Tell if You Have a Graph-shaped Problem
- Analyze Your Website with NLP and Knowledge Graphs
- How artificial intelligence can support knowledge management in organizations
- Knowledge Management Trends in 2023 (Enterprise Knowledge)
- The 5 Biggest Knowledge Management Trends for
2023
- Top 7 Knowledge Management Trends in 2023 (The ECM Consultant)The ECM Consultant) Consultant)