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Alasdair Anderson, Data Access, Quality and Sovereignty still major hurdles for true AI adoption

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Treść dostarczona przez Praxi Data Inc. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Praxi Data Inc lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

In this episode, Andrew Turner interviews Alasdair Anderson about the current state of the data space and the challenges and opportunities it presents. They discuss the explosive growth of data, the importance of data integrity and foundation, and the impact of data on different industries. They also delve into the challenges of access and quality in data, the role of artificial intelligence, and the need for real-time and high-quality information. They explore organizational changes and the skills gap, as well as the future of data workers and the challenges of data sovereignty. The episode concludes with a discussion on balancing innovation and practicality in AI adoption.

Takeaways

  • The data space has experienced explosive growth in recent years, with advancements in technologies like artificial intelligence revolutionizing industries and society.
  • Access and quality of data are major challenges in the data space, with issues of data sovereignty and legal ramifications adding complexity to the adoption of AI.
  • Organizations need to embed data workers with hybrid skills into their teams and focus on the practicality and purpose of AI adoption, considering cost and bottom-line impact.
  • The future of data workers lies in conversational data, where AI technologies enable more productive and efficient interactions with data.

Chapters

00:00 Introduction and Setting the Stage

01:00 The Explosive Growth of the Data Space

03:10 Challenges and Opportunities in the Data Space

05:02 The Importance of Data Integrity and Foundation

06:20 The Impact of Data on Different Industries

08:16 The Challenges of Access and Quality in Data

10:09 The Role of Artificial Intelligence in Data

11:35 The Importance of Real-Time and High-Quality Information

12:20 Organisational Changes and Skills Gap

17:34 Embedding Data Workers and Hybrid Skills

21:23 The Future of Data Workers and Conversational Data

22:01 The Challenges of Data Sovereignty and Legal Ramifications

29:43 Balancing Innovation and Practicality in AI Adoption

31:16 Considerations for AI Adoption: Cost and Purpose

32:17 Closing Remarks and Future Possibilities

Alasdair Anderson, with over 20 years in data technology, has worked in major financial firms and now leads the EMEA region for Protegrity. A recognised expert in data management and anti-financial crime, he's won multiple industry awards and is part of the Global Scot Network, mentoring organisations expanding globally.

  continue reading

8 odcinków

Artwork
iconUdostępnij
 
Manage episode 406759469 series 3557343
Treść dostarczona przez Praxi Data Inc. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Praxi Data Inc lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

In this episode, Andrew Turner interviews Alasdair Anderson about the current state of the data space and the challenges and opportunities it presents. They discuss the explosive growth of data, the importance of data integrity and foundation, and the impact of data on different industries. They also delve into the challenges of access and quality in data, the role of artificial intelligence, and the need for real-time and high-quality information. They explore organizational changes and the skills gap, as well as the future of data workers and the challenges of data sovereignty. The episode concludes with a discussion on balancing innovation and practicality in AI adoption.

Takeaways

  • The data space has experienced explosive growth in recent years, with advancements in technologies like artificial intelligence revolutionizing industries and society.
  • Access and quality of data are major challenges in the data space, with issues of data sovereignty and legal ramifications adding complexity to the adoption of AI.
  • Organizations need to embed data workers with hybrid skills into their teams and focus on the practicality and purpose of AI adoption, considering cost and bottom-line impact.
  • The future of data workers lies in conversational data, where AI technologies enable more productive and efficient interactions with data.

Chapters

00:00 Introduction and Setting the Stage

01:00 The Explosive Growth of the Data Space

03:10 Challenges and Opportunities in the Data Space

05:02 The Importance of Data Integrity and Foundation

06:20 The Impact of Data on Different Industries

08:16 The Challenges of Access and Quality in Data

10:09 The Role of Artificial Intelligence in Data

11:35 The Importance of Real-Time and High-Quality Information

12:20 Organisational Changes and Skills Gap

17:34 Embedding Data Workers and Hybrid Skills

21:23 The Future of Data Workers and Conversational Data

22:01 The Challenges of Data Sovereignty and Legal Ramifications

29:43 Balancing Innovation and Practicality in AI Adoption

31:16 Considerations for AI Adoption: Cost and Purpose

32:17 Closing Remarks and Future Possibilities

Alasdair Anderson, with over 20 years in data technology, has worked in major financial firms and now leads the EMEA region for Protegrity. A recognised expert in data management and anti-financial crime, he's won multiple industry awards and is part of the Global Scot Network, mentoring organisations expanding globally.

  continue reading

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