{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6628c36e178a94001275d44e/667d946b482fca9c1b100509?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Ep4: AI, GDPR, and the Future of Data Management","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6628c36e178a94001275d44e/1719505771631-bd2627a2ccdfd00f6be6470708ca29ab.jpeg?height=200","description":"<p>🔅&nbsp;Get a free 15 minute career advice session-&nbsp;<a href=\"https://bit.ly/4e6YPJy\" rel=\"noopener noreferrer\" target=\"_blank\">https://bit.ly/4e6YPJy</a></p><p>👥 Join the AIWeb3 Community and receive weekly career insights -&nbsp;<a href=\"https://bit.ly/4bHQ2fc\" rel=\"noopener noreferrer\" target=\"_blank\">https://bit.ly/4bHQ2fc</a></p><p><br></p><p>In this episode of AI &amp; Web3 Careers, we delve into the evolution of the data industry over the last decade with data expert Nnamdi. From his early days as a business intelligence developer to his current ventures in AI and GDPR compliance, Nnamdi shares invaluable insights on data creation, consumption, and commercialisation. We explore the current challenges companies face in leveraging data effectively, touch on the ethical considerations of handling sensitive information, and look towards future trends in data and AI. Nnamdi emphasises the importance of data quality and strategy in extracting meaningful value from data and how automation through AI could revolutionise operations. Don't miss this enlightening discussion packed with expert advice for anyone in the industry or looking to break into the world of data.</p><p><br></p><p>00:00 Introduction and Guest Welcome </p><p>01:44 Evolution of Data Over the Last Decade </p><p>06:56 Challenges in Harnessing Data </p><p>10:06 Ethical Considerations in Data Analytics </p><p>16:20 AI and Machine Learning Opportunities </p><p>24:28 Future Trends in Data </p><p>27:39 Advice for Aspiring Data Professionals </p><p>29:19 Conclusion and Contact Information</p><p><br></p><p>Title ideas (for the algo)</p><p><br></p><ol><li>\"Harnessing Data: Challenges and Innovations with Nnamdi\"</li><li>\"Data Evolution: A Decade of Change with Nnamdi\"</li><li>\"From Big Data to AI: Insights from Nnamdi\"</li><li>\"Quality Over Quantity: Data Insights with Nnamdi\"</li><li>\"Navigating Data Strategies: Lessons from an Expert\"</li><li>\"Ethics and Efficiency in Data Utilization with Nnamdi\"</li><li>\"The Future of Data: Trends and Predictions\"</li><li>\"Data Literacy and Self-Service: Bridging the Gap\"</li><li>\"The Importance of Data Quality with Nnamdi\"</li><li>\"AI, GDPR, and the Future of Data Management\"</li></ol><p><br></p>","author_name":"Adé Molajo"}