Knowledge Management, Information, and Data: Confluence and State of the Art

Topics

• Information management
  • Text analysis for content management
  • Facilitating and controlling information
  • Digital transformation of the content engine
  • Extracting intelligence from information critical content capabilities needed to drive efficiency, insights and roi
• Data
  • Data mining platforms; parallel computing; data integrating; edge computing
  • Overview to traditional, big and alternative data
  • Overview of different providers, their offerings
  • Challenges and opportunities
  • An overview of popular data manipulation tools - some advantages and disadvantages
  • Best practices
  • Overview of data analysis covering
  • Demo of tools
  • Advantages and disadvantages of each tool
  • An overview of popular data analysis tools
  • Recommender systems
  • Tips for choosing the right tool for your data analysis needs
• Knowledge management
  • Evolving knowledge for a changing world
  • The emphasis on people and processes to support km will differentiate successful km strategies
  • Optimising the customer experience
  • Better decision making and innovation, drawing on knowledge management
  • Knowledge mapping
  • Digital cx (customer experience) and ex (employee experience)
  • Breaking down knowledge silos
  • Governance and compliance
  • Making the right decisions in selecting tools and software to support km
  • Designing and re-energising a knowledge programme
  • How to gain internal support and ensure momentum in km
  • Developing effective km professionals and teams
  • Interactions with knowledge management :llm- chatgpt and bard

Who should Attend

• Business Intelligence Analysts
• Data Analysts
• IT Managers
• Data Scientists, Architects, Engineers
• Business Analysts
• Big Data Engineers
• Machine Learning Engineers
• Chief Data Officers
• Operations Research Analysts
• Analytics Managers
• Data Governance Specialists
• Technology Directors
• Librarians
• Strategy advisers
• Knowledge Managers
• IT managers
• Researchers and practitioners
• Information Managers and Professionals
• Content Managers