• Focus: Showcasing real-world examples of how organizations are leveraging data and advanced technologies to make better decisions.
• • Discussion Points:Case studies from different industries: finance, healthcare, retail, manufacturing.
  • How companies are using AI, RPA, and low-code/no-code to drive innovation and efficiency.
  • Key takeaways and lessons learned from successful implementations.

  
  

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

• Discussion Points:
• • Debunking common myths and misconceptions about AI.
  • Ethical considerations and the potential risks of AI.
  • The future of work and the role of AI in job displacement and creation.

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

• Focus: A realistic assessment of AI's current capabilities and its potential impact on various industries.
• • Discussion Points:Different types of AI: Narrow AI, General AI, Superintelligence.

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

• Focus: The emergence of low-code/no-code platforms and their impact on application development.
• • Discussion Points:The evolution from traditional programming to low-code/no-code.
  • Benefits of low-code/no-code for businesses and citizen developers.
  • Key features and components of low-code/no-code platforms.
  • Use cases and examples across different business functions.

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

• Focus: The emergence of low-code/no-code platforms and their impact on application development.
• • Discussion Points:The evolution from traditional programming to low-code/no-code.
  • Benefits of low-code/no-code for businesses and citizen developers.
  • Key features and components of low-code/no-code platforms.
  • Use cases and examples across different business functions.

  
  

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

• Focus: Exploring intelligent automation (IA) and its role in augmenting RPA with AI capabilities.
• • Discussion Points:The convergence of RPA and AI.
  • Cognitive technologies like natural language processing and machine learning.
  • How IA enables smarter and more adaptable automation.Real-world examples of IA in action.

  
  

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

• Focus: Introduction to RPA, its capabilities, benefits, and challenges.
• • Discussion Points:Definition and evolution of RPA.
  • The difference between RPA and traditional automation.
  • Use cases and benefits of RPA across various industries.
  • Challenges and limitations of RPA implementation.

  
  

  the book can be ordered on AMAZON :

  Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

  https://a.co/d/cHw5WPb

Focus: The evolution of business process management (BPM) and its relationship to data-driven decision-making.

• Discussion Points:The origins of continuous improvement methodologies like the Shewhart Cycle and the Deming Wheel.
• The principles of scientific management and their relevance to modern BPM.
• The role of decision support systems (DSS) in aiding decision-making.
• The different types of DSS and their applications.

the book can be ordered on AMAZON :

Data evolution and its impact on organizational decision-making: How does modern data evolution influence business capabilities and decision-making using innovative data technologies? link below ( for direct purchase)

https://a.co/d/cHw5WPb