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Business Analysis in the era of Generative Artificial Intelligence: How to upskill ourselves in an Intelligence Led Automation World
Business Analysis in the Era of Generative Artificial Intelligence.
PURPOSE AND ESSENCE
The primary goal of this book is to share my research and experience with fellow Business Analysts and guide them through the dynamic, rapidly evolving landscape of the Post Digital Transformation Era. As IT systems become increasingly intelligence-led (A, GerA & LLM), understanding their impact and navigating these changes effectively is paramount for Business Analysts. This book aims to offer a deep dive into how intelligent-led digital solutions are reshaping business operations and how Business Analysts can leverage these changes for innovation, efficiency and success to upskill themselves from a business analysis role to a business advisory role through the seven pivotal transition steps
1. Enhancing efficiency in operations and processes
2. Driving cost savings through innovative solutions
3. Reducing business and technology risks
4. Adopting and promoting an agile mindset
5. Embracing and advocating for automation
6. Leading with data-driven decision-making
7. Championing sustainability in business practices
Combining practical advice, real-world case studies and valuable insights, this book serves as a comprehensive guide for Business Analysts to stay ahead of the curve and excel in the Post Digital Transformation AI era.
KEY FEATURES
• The Evolution of Digital Transformation
• GenerativeAI's Impact on Business Analysis
• The New Era for Business Analysts
• Sector Wide Implications and Opportunities
• Global Trends and Case Studies
• AI Literacy and Ethical Considerations
• AI Advocacy and Training
• Transitioning from Business Analysis to Business Advisory
WHAT YOU WILL LEARN
• Understand how intelligence-led IT systems are transforming business operations
• How to these changes to drive Innovation, efficiency, and success
• How to embrace the AI tools to deliver high-quality, more sophisticated work more quickly
• Acquire a roadmap to transition from Business Analysis to business advisory
WHO THIS BOOK IS FOR
This book is for Business Analysis Professionals who are looking to adapt to the charges brought about by GenerativeAl and other emerging technologies. Other IT and Technology Professionals who wish to understand the impacts of GenAI on business operations and strategies will find valuable Information In this book. This book will also Inform students who aspire to a career in business analysis/advisory upon completion of their studies and academics who are interested in
the evolving role of business analysis in the context of technological advancements. Corporate and emerging technologies are shaping business analysts and decision-making processes. Policymakers and regulators involved in or regulation of technology and business who are interested in understanding the implications of security. ethics, transparency and bias of AI and emerging technologies In business.
PURPOSE AND ESSENCE
The primary goal of this book is to share my research and experience with fellow Business Analysts and guide them through the dynamic, rapidly evolving landscape of the Post Digital Transformation Era. As IT systems become increasingly intelligence-led (A, GerA & LLM), understanding their impact and navigating these changes effectively is paramount for Business Analysts. This book aims to offer a deep dive into how intelligent-led digital solutions are reshaping business operations and how Business Analysts can leverage these changes for innovation, efficiency and success to upskill themselves from a business analysis role to a business advisory role through the seven pivotal transition steps
1. Enhancing efficiency in operations and processes
2. Driving cost savings through innovative solutions
3. Reducing business and technology risks
4. Adopting and promoting an agile mindset
5. Embracing and advocating for automation
6. Leading with data-driven decision-making
7. Championing sustainability in business practices
Combining practical advice, real-world case studies and valuable insights, this book serves as a comprehensive guide for Business Analysts to stay ahead of the curve and excel in the Post Digital Transformation AI era.
KEY FEATURES
• The Evolution of Digital Transformation
• GenerativeAI's Impact on Business Analysis
• The New Era for Business Analysts
• Sector Wide Implications and Opportunities
• Global Trends and Case Studies
• AI Literacy and Ethical Considerations
• AI Advocacy and Training
• Transitioning from Business Analysis to Business Advisory
WHAT YOU WILL LEARN
• Understand how intelligence-led IT systems are transforming business operations
• How to these changes to drive Innovation, efficiency, and success
• How to embrace the AI tools to deliver high-quality, more sophisticated work more quickly
• Acquire a roadmap to transition from Business Analysis to business advisory
WHO THIS BOOK IS FOR
This book is for Business Analysis Professionals who are looking to adapt to the charges brought about by GenerativeAl and other emerging technologies. Other IT and Technology Professionals who wish to understand the impacts of GenAI on business operations and strategies will find valuable Information In this book. This book will also Inform students who aspire to a career in business analysis/advisory upon completion of their studies and academics who are interested in
the evolving role of business analysis in the context of technological advancements. Corporate and emerging technologies are shaping business analysts and decision-making processes. Policymakers and regulators involved in or regulation of technology and business who are interested in understanding the implications of security. ethics, transparency and bias of AI and emerging technologies In business.
395 pages, Kindle Edition
Published February 1, 2024
8 people are currently reading
5 people want to read
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Displaying 1 of 1 review
January 30, 2025
Business Analyst to Business Advisor in an AI world
An excellent and informative book. The book is easy to read but contains some terms that need to be looked up. This is a good thing as it shows that there is much to learn from the experts.
The book contains plenty of AI platforms and tools available. I agree with the message that AI is here. Whatever you think about it, it is here, and we need to learn to use it to build up our literacy with it. AI is a tool for how it is used it either a blessing or a curse.
The book also has a covers a step by step journey from a Business Analyst to becoming a Business Advisor using the current tool (many of which are AI), and techniques avaliable, but also the change in mindsets as well.
Then, in the Appendix, it is the question and answers from the 2023 AI conference. I do like that answers from the other panellists are given to questions to show different perspectives. Then case studies and examples of AI generated reports.
There is so much great information in this book. Different perspectives and links and further readings on the topics suggested. A great book of knowledge. This is the best time to read this book as a starting point in AI because at the speed of AI moves, it is easy to get left behind.
An excellent and informative book. The book is easy to read but contains some terms that need to be looked up. This is a good thing as it shows that there is much to learn from the experts.
The book contains plenty of AI platforms and tools available. I agree with the message that AI is here. Whatever you think about it, it is here, and we need to learn to use it to build up our literacy with it. AI is a tool for how it is used it either a blessing or a curse.
The book also has a covers a step by step journey from a Business Analyst to becoming a Business Advisor using the current tool (many of which are AI), and techniques avaliable, but also the change in mindsets as well.
Then, in the Appendix, it is the question and answers from the 2023 AI conference. I do like that answers from the other panellists are given to questions to show different perspectives. Then case studies and examples of AI generated reports.
There is so much great information in this book. Different perspectives and links and further readings on the topics suggested. A great book of knowledge. This is the best time to read this book as a starting point in AI because at the speed of AI moves, it is easy to get left behind.
Displaying 1 of 1 review