{"podcast":{"title":"Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science","slug":"data-futurology-leadership-and-strategy","podcast_index_feed_id":68063,"rss_url":"https://anchor.fm/s/3fab060/podcast/rss","website_url":"https://www.datafuturology.com/","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/production/podcast_uploaded/567608/567608-1593736387795-5897b4f790597.jpg","author":"Felipe Flores","episode_count":266,"summary":"Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world","last_synced_at":null,"page_url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy"},"episode":{"title":"#242: Tell me about the future of AI… Here Be Dragons?","slug":"242-tell-me-about-the-future-of-ai-here-be-dragons","published_at":"2023-08-02T02:40:47+00:00","page_url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy/242-tell-me-about-the-future-of-ai-here-be-dragons","show_page_url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy","url":"https://podcasters.spotify.com/pod/show/datafuturology/episodes/242-Tell-me-about-the-future-of-AI-Here-Be-Dragons-e27l4hc","audio_url":"https://anchor.fm/s/3fab060/podcast/play/74141676/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-7-2%2F341568232-44100-2-9cc2b21c0712f.mp3","summary":"Orla Glynn of Telstra explores the strategic necessity of building a 'divergent workforce' where humans and machines coexist through shared governance. The discussion focuses on moving beyond simple automation to managing the complex risk ontology of AI-driven decision-making.","meta_description":"Telstra executive Orla Glynn discusses managing AI risk, building workforce maturity, and the shift from hardware-centric to software-driven automation.","key_points":["Main idea: AI implementation requires a new risk ontology to ensure machine decisions align with organizational policies and ethics","Practical takeaway: Organizations must develop a 'data and AI quotient' roadmap to uplift workforce maturity alongside technological deployment","Failure mode: Treating AI solely as a technical solution without considering the downstream impact on customer experience and network integrity","Strategic tension: Balancing urgent cybersecurity and data security investments with the long-term pursuit of generative AI at scale","Core philosophy: Viewing AI as a tool for increasing human productivity and 'giving back time' rather than simply replacing roles"],"chapters":[{"start_ms":230000,"title":"Non-linear Career Paths","summary":"Orla discusses her transition from humanities studies to leadership in AI and automation."},{"start_ms":570000,"title":"Workforce Maturity and Upskilling","summary":"The need to develop a roadmap for increasing the technology and AI quotient across the entire organization."},{"start_ms":740000,"title":"C-Suite Engagement and Risk","summary":"Ensuring leadership is educated on both the value opportunities and the critical trade-offs of AI implementation."},{"start_ms":1070000,"title":"Aligning AI with Organizational Policy","summary":"Applying the same training and governance frameworks to AI models that are applied to human employees."},{"start_ms":1560000,"title":"AI vs. Data Analytics Capability","summary":"Distinguishing the specific skill sets and investment requirements needed for AI compared to traditional analytics."},{"start_ms":1890000,"title":"The Tech-First Fallacy","summary":"Avoiding the trap of assuming every business problem can or should be solved with new software or sensors."},{"start_ms":2060000,"title":"The Divergent Workforce","summary":"Designing a future where human-machine collaboration drives efficiency and ethical responsibility."}],"topics":["Artificial Intelligence","AI Governance","Digital Transformation","Risk Management","Workforce Automation","Data Strategy","Machine Learning","Enterprise Leadership"],"duration_seconds":2226,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-futurology-leadership-and-strategy/episodes/242-tell-me-about-the-future-of-ai-here-be-dragons/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/data-futurology-leadership-and-strategy/242-tell-me-about-the-future-of-ai-here-be-dragons.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}