{"podcast":{"title":"Super Data Science: ML & AI Podcast with Jon Krohn","slug":"super-data-science","podcast_index_feed_id":220402,"rss_url":"https://feeds.megaphone.fm/SUPERDATASCIENCEPTYLTD9836501887","website_url":"https://www.superdatascience.com/podcast","image_url":"https://megaphone.imgix.net/podcasts/efa92454-1c31-11ef-9e30-03596b470c27/image/c3e0edc239c962f8bcd144000fafa5aa.jpeg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Jon Krohn","episode_count":991,"summary":"The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/super-data-science"},"episode":{"title":"981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman","slug":"981-how-data-engineers-are-10x-ing-themselves-with-agents-feat-matt-glickman","published_at":"2026-04-07T11:00:00+00:00","page_url":"https://stenobird.com/podcast/super-data-science/981-how-data-engineers-are-10x-ing-themselves-with-agents-feat-matt-glickman","show_page_url":"https://stenobird.com/podcast/super-data-science","url":"https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7109622026.mp3?updated=1775550082","audio_url":"https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD7109622026.mp3?updated=1775550082","summary":"Data engineering is shifting from manual pipeline construction to autonomous agent orchestration. Matt Glickman explains how Genesis Computing uses agentic workflows to automate complex data tasks with built-in guardrails.","meta_description":"Explore the future of data engineering with Matt Glickman. Learn how AI agents are automating complex workflows and transforming enterprise data operation…","key_points":["Main idea: AI agents are moving beyond simple copilots to execute entire multi-step data engineering workflows autonomously","Practical takeaway: Deploying agents like an 'onboarding' process ensures company knowledge remains a permanent internal asset","Failure mode: Relying on human-only verification leads to 'human laziness' and unproven artifacts in complex data pipelines","Main idea: The transition to agentic AI requires a shift from step-by-step instruction to managing high-level blueprints and guardrails","Practical takeaway: The most valuable future hires will be 'agent orchestrators' who can manage and scale AI-driven operations"],"chapters":[{"start_ms":60000,"title":"Introduction","summary":"Jon Krohn introduces Matt Glickman and the context of the current AI revolution."},{"start_ms":375000,"title":"From Goldman Sachs to Genesis","summary":"Matt discusses his transition from managing data platforms at Goldman Sachs to founding a startup."},{"start_ms":705000,"title":"Cloud and AI Adoption in Finance","summary":"A look at why highly regulated industries like finance and healthcare are becoming early adopters of AI."},{"start_ms":1050000,"title":"The Genesis Onboarding Process","summary":"How Genesis Computing maps enterprise data environments and memorializes institutional knowledge."},{"start_ms":1395000,"title":"The Shift to Private Cloud Concepts","summary":"Comparing modern AI infrastructure to the evolution of massive private cloud environments."},{"start_ms":1740000,"title":"Ensuring Agent Accountability","summary":"Using artifacts and proofs to prevent errors and overcome the human laziness factor in data testing."},{"start_ms":2075000,"title":"The Rise of the Agent Orchestrator","summary":"Why the next generation of data professionals will focus on managing AI agents rather than manual coding."}],"topics":["Data Engineering","AI Agents","Autonomous Workflows","Genesis Computing","Enterprise AI","Machine Learning Operations","Agentic AI","Automation"],"duration_seconds":4475,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/super-data-science/episodes/981-how-data-engineers-are-10x-ing-themselves-with-agents-feat-matt-glickman/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/super-data-science/981-how-data-engineers-are-10x-ing-themselves-with-agents-feat-matt-glickman.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}