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Tiankai Feng, The Impact of AI on Creativity and the Challenges of Ownership

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Manage episode 438045957 series 3557343
Content provided by Praxi Data Inc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Praxi Data Inc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this new episode of The Praxi Pod, Andrew Turner spends a very enjoyable time with Tiankai Feng talking about data governance and AI governance. Tiankai shares his approach to making data more approachable and fun, using his musical talents to create songs and parodies about data. They discuss the resurgence of data governance, driven by innovation and regulations. They also explore the challenges of governing AI and machine learning models, including data quality, bias, and ethical considerations. Tiankai emphasizes the importance of human oversight in AI governance. They touch on the adoption of AI in different industries and the role of small innovation hubs in driving progress. Tiankai also explains the concept of data mesh and its principles. Finally, Tiankai shares his role at ThoughtWorks in helping clients with data strategy and governance, including implementing data mesh projects. In this conversation, Andrew and Tiankai discuss the concept of data mesh and its relevance in today's data landscape. They explore the role of data governance and metadata management in ensuring data quality and usability. They also touch on the impact of AI on creativity and the challenges of ownership and responsibility in the AI era. The conversation concludes with a discussion on the future of AI and the need for organizations to embrace new technologies while considering legal and ethical implications.

Chapters

00:00 Introduction and Background

02:15 The Resurgence of Data Governance

06:04 Challenges in Governing AI and Machine Learning Models

09:31 Adoption of AI Across Industries

13:29 Driving Progress in AI through Small Innovation Hubs

19:45 Understanding Data Mesh and its Principles

20:55 The Role of Human Oversight in AI Governance

21:10 The Concept of Data Mesh

23:24 The Evolution of Data Management

25:43 The Importance of Data Classification and Curation

28:36 The Role of Data Quality in Outcomes

29:26 The Challenges of Unstructured Data

30:30 The Impact of AI on Tedious Tasks

32:56 Motivating Data Owners and Providing Tools

36:57 The Boundaries of Human Creativity and AI

39:38 The Future of AI and Ethical Considerations

Our guest Tiankai Feng, is a Data & Analytics leader and author of "Humanizing Data Strategy". He is currently the Data Strategy & Governance Lead in Thoughtworks Europe and the Head of Marketing of DAMA Germany. With 11+ years experiences in Data Analytics, Data Governance and Data Strategy, he found a passion for the human aspect of data: how to collaborate, communicate and be creative around data. He is passionate about making data more understood, approachable and fun through unconventional methods like music and memes.

Links:

Book: https://technicspub.com/humanizing-data-strategy/

LinkedIn: https://www.linkedin.com/in/tiankaifeng/

Youtube: https://www.youtube.com/kaifeng

  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 438045957 series 3557343
Content provided by Praxi Data Inc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Praxi Data Inc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this new episode of The Praxi Pod, Andrew Turner spends a very enjoyable time with Tiankai Feng talking about data governance and AI governance. Tiankai shares his approach to making data more approachable and fun, using his musical talents to create songs and parodies about data. They discuss the resurgence of data governance, driven by innovation and regulations. They also explore the challenges of governing AI and machine learning models, including data quality, bias, and ethical considerations. Tiankai emphasizes the importance of human oversight in AI governance. They touch on the adoption of AI in different industries and the role of small innovation hubs in driving progress. Tiankai also explains the concept of data mesh and its principles. Finally, Tiankai shares his role at ThoughtWorks in helping clients with data strategy and governance, including implementing data mesh projects. In this conversation, Andrew and Tiankai discuss the concept of data mesh and its relevance in today's data landscape. They explore the role of data governance and metadata management in ensuring data quality and usability. They also touch on the impact of AI on creativity and the challenges of ownership and responsibility in the AI era. The conversation concludes with a discussion on the future of AI and the need for organizations to embrace new technologies while considering legal and ethical implications.

Chapters

00:00 Introduction and Background

02:15 The Resurgence of Data Governance

06:04 Challenges in Governing AI and Machine Learning Models

09:31 Adoption of AI Across Industries

13:29 Driving Progress in AI through Small Innovation Hubs

19:45 Understanding Data Mesh and its Principles

20:55 The Role of Human Oversight in AI Governance

21:10 The Concept of Data Mesh

23:24 The Evolution of Data Management

25:43 The Importance of Data Classification and Curation

28:36 The Role of Data Quality in Outcomes

29:26 The Challenges of Unstructured Data

30:30 The Impact of AI on Tedious Tasks

32:56 Motivating Data Owners and Providing Tools

36:57 The Boundaries of Human Creativity and AI

39:38 The Future of AI and Ethical Considerations

Our guest Tiankai Feng, is a Data & Analytics leader and author of "Humanizing Data Strategy". He is currently the Data Strategy & Governance Lead in Thoughtworks Europe and the Head of Marketing of DAMA Germany. With 11+ years experiences in Data Analytics, Data Governance and Data Strategy, he found a passion for the human aspect of data: how to collaborate, communicate and be creative around data. He is passionate about making data more understood, approachable and fun through unconventional methods like music and memes.

Links:

Book: https://technicspub.com/humanizing-data-strategy/

LinkedIn: https://www.linkedin.com/in/tiankaifeng/

Youtube: https://www.youtube.com/kaifeng

  continue reading

17 episodes

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