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Entrepreneur, author, professor and people analytics community leader Stela Lupushor discusses the readiness of organizations to navigate the AI-driven transformation. Stela and Bob explore the challenges and opportunities of integrating AI into the workplace and the importance of a human-centric approach. They also touch on the need to redefine work and the value exchange between organizations and individuals. The conversation highlights the role of AI in moving people to higher-value activities and the potential for AI to enhance decision-making and decision support in domains like HR. They discuss the limitations of traditional people analytics and the potential of generative AI. It emphasizes the need to focus on business questions and outcomes rather than just HR-specific measurements when building a business case. The discussion also highlights the importance of redefining work, workforce, workplace, and worth in the context of the evolving workforce ecosystem. Stela emphasizes the need for individuals to take ownership of their careers and upskill themselves in AI to navigate the impending transformation.
In this episode, we look at AI-driven transformation, organizational readiness, human-centric approach, redefining work, value exchange, higher-value activities, decision-making, decision support, HR analytics, people analytics, generative AI, business questions, outcomes, work, workforce, workplace, worth, career development, and upskilling.
Key Takeaways
Chapters
00:00 Introduction and Background
02:57 Organizational Readiness for the AI-Driven Transformation
10:33 Challenges in Deploying AI in Organizations
20:32 Moving Towards Higher-Value Activities with AI
23:56 Human-Centricity in Organizational Change
30:41 Enhancing Decision-Making and Decision Support with AI
32:14 The Limitations of Traditional People Analytics
33:12 The Potential of Generative AI
34:35 Expanding Beyond HR and People Data
37:18 Focusing on Business Problems
48:27 Redefining Work, Workforce, Workplace, and Worth
53:02 Taking Ownership of Career Development
57:36 Exploring the Potential of AI
59:41 Building a Community of Curious Learners
Reframe.Work: https://www.reframe.work/
Humans at Work: https://www.amazon.com/Humans-Work-Practice-Creating-Workplace/dp/1398604232
5
44 ratings
Entrepreneur, author, professor and people analytics community leader Stela Lupushor discusses the readiness of organizations to navigate the AI-driven transformation. Stela and Bob explore the challenges and opportunities of integrating AI into the workplace and the importance of a human-centric approach. They also touch on the need to redefine work and the value exchange between organizations and individuals. The conversation highlights the role of AI in moving people to higher-value activities and the potential for AI to enhance decision-making and decision support in domains like HR. They discuss the limitations of traditional people analytics and the potential of generative AI. It emphasizes the need to focus on business questions and outcomes rather than just HR-specific measurements when building a business case. The discussion also highlights the importance of redefining work, workforce, workplace, and worth in the context of the evolving workforce ecosystem. Stela emphasizes the need for individuals to take ownership of their careers and upskill themselves in AI to navigate the impending transformation.
In this episode, we look at AI-driven transformation, organizational readiness, human-centric approach, redefining work, value exchange, higher-value activities, decision-making, decision support, HR analytics, people analytics, generative AI, business questions, outcomes, work, workforce, workplace, worth, career development, and upskilling.
Key Takeaways
Chapters
00:00 Introduction and Background
02:57 Organizational Readiness for the AI-Driven Transformation
10:33 Challenges in Deploying AI in Organizations
20:32 Moving Towards Higher-Value Activities with AI
23:56 Human-Centricity in Organizational Change
30:41 Enhancing Decision-Making and Decision Support with AI
32:14 The Limitations of Traditional People Analytics
33:12 The Potential of Generative AI
34:35 Expanding Beyond HR and People Data
37:18 Focusing on Business Problems
48:27 Redefining Work, Workforce, Workplace, and Worth
53:02 Taking Ownership of Career Development
57:36 Exploring the Potential of AI
59:41 Building a Community of Curious Learners
Reframe.Work: https://www.reframe.work/
Humans at Work: https://www.amazon.com/Humans-Work-Practice-Creating-Workplace/dp/1398604232
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