AI's Impact on HR Transformation and Innovation with Pete Tiliakos
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Bob Pulver and Pete Tiliakos discuss the impact of AI on HR transformation. They explore the scale and complexity of AI compared to previous transformations and emphasize the importance of continuous improvement. They also discuss the opportunities and risks of using AI, including the need for responsible AI practices and governance. They highlight the importance of trust, ethics, and critical thinking skills in using AI effectively. Additionally, they touch on the role of AI in HR functions such as payroll and the need for upskilling and education in AI. The conversation explores the application of AI in organizations and the importance of data and analytics maturity. Bob and Pete discuss how companies are using AI to improve their front-end customer experiences and how these lessons can be applied to the back office. The conversation also touches on the potential impact of AI on productivity and the need for individuals and organizations to invest in upskilling. Pete shares his favorite AI tools and cautions against relying solely on publicly available information. The conversation concludes with advice to stay agile, keep learning, and embrace AI as a wave of innovation. Keywords AI, HR transformation, continuous improvement, opportunities, risks, responsible AI, governance, trust, ethics, critical thinking, upskilling, education, AI application, data and analytics maturity, customer experience, back office, productivity, upskilling, AI tools, publicly available information, agility, learning, innovation Takeaways AI should be seen as a continuous process improvement rather than a one-time transformation. Transformation in the age of AI is more complex and requires agility and staying ahead of the changing landscape. The core HR functions, such as payroll and benefits, are essential for setting up more advanced talent capabilities. Responsible AI practices, including governance, ethics, and trust, are crucial for successful AI implementation. Cognitive diversity and oversight are necessary to ensure fair and transparent AI decision-making. AI will impact all industries and roles, and organizations need to adapt and use AI to stay competitive. Education and upskilling in AI, including responsible AI practices, are essential for individuals and organizations. Creativity and human skills will always have an edge over AI in certain areas, such as deep storytelling. AI can be used to improve front-end customer experiences and can provide valuable lessons for back-office operations. Data and analytics maturity is crucial for successful AI implementation. AI has the potential to increase productivity, but it is important to allocate the saved time to higher-value activities. Individuals and organizations should invest in upskilling to fully leverage the benefits of AI. Caution should be exercised when using AI tools that rely on publicly available information. Stay agile, keep learning, and embrace AI as a wave of innovation. Sound Bites "Transformation is not a destination." "There's more ways than ever to solve your problems." "The problems haven't changed, just the scale and complexity." "What do we do with our extra time?" "Reinvesting time saved in upskilling" "Excited for the potential of AI" Chapters 00:00 Introduction and Background 02:23 Comparing AI Transformation to Previous Transformations 06:12 The Continuous Process of AI Improvement 09:31 The Impact of AI on Core HR Functions 13:38 Navigating the Opportunities and Risks of AI 16:05 Building Trust and Responsible AI Practices 20:30 Upskilling and Education in AI 24:51 Applying AI to Improve Customer Experiences 26:32 The Importance of Data and Analytics Maturity in AI Implementation 27:02 The Potential Impact of AI on Productivity 28:29 Investing in Upskilling for AI Success 29:49 Caution When Using AI Tools with Publicly Available Information 31:58 Embracing AI as a Wave of Innovation Pete Tiliakos: https://www.linkedin.com/in/petetiliakos
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