DataScience Show Podcast

Mirko Peters
  • 5.0 (2)
  • Business
  • Updated Daily

Welcome to The DataScience Show, hosted by Mirko Peters — your daily source for everything data! Every weekday, Mirko delivers fresh insights into the exciting world of data science, artificial intelligence (AI), machine learning (ML), big data, and advanced analytics. Whether you’re new to the field or an experienced data professional, you’ll get expert interviews, real-world case studies, AI breakthroughs, tech trends, and practical career tips to keep you ahead of the curve. Mirko explores how data is reshaping industries like finance, healthcare, marketing, and technology, providing actionable knowledge you can use right away. Stay updated on the latest tools, methods, and career opportunities in the rapidly growing world of data science. If you’re passionate about data-driven innovation, AI-powered solutions, and unlocking the future of technology, The DataScience Show is your essential daily listen. Subscribe now and join Mirko Peters every weekday as he navigates the data revolution! Keywords: Daily Data Science Podcast, Machine Learning, Artificial Intelligence, Big Data, AI Trends, Data Analytics, Data Careers, Business Intelligence, Tech Podcast, Data Insights. datascience.show Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.

  1. Decision Quality: A C-Level Playbook for Measuring and Governing AI-Driven Decisions

    11h ago

    Decision Quality: A C-Level Playbook for Measuring and Governing AI-Driven Decisions

    Executives often judge AI by model metrics—accuracy, AUC, latency—while the true question is whether AI improves decisions that matter to the business. In this 23-minute monologue Mirko presents a pragmatic C-level playbook for decision quality: defining decision-level KPIs, instrumenting systems to record decisions and outcomes, building counterfactual and attribution approaches to measure value, and aligning governance and incentives to decision impact. Through compact, real-world examples and templates, listeners will learn how to convert model outputs into auditable business signals, close feedback loops that improve future decisions, and create reporting that resonates with boards and P&L owners. The episode emphasizes feasible steps—data requirements, MLOps hooks, ownership models, and success criteria—that leaders can implement within quarters to stop measuring proxies and start measuring what actually moves the business. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    9 min
  2. Operational Resilience for Enterprise ML: Ensuring Continuity When Models Fail

    1d ago

    Operational Resilience for Enterprise ML: Ensuring Continuity When Models Fail

    Enterprises treat models as value generators—but value stops the moment a model degrades, data pipelines break, or an unexpected event triggers poor decisions. This episode gives C-level leaders and senior practitioners a practical, operational playbook to make ML systems resilient: building observability and alerting that tie to business SLOs, designing runbooks and incident routines for model incidents, stress-testing pipelines with chaos experiments, and structuring cross-functional escalation and ownership so outages are contained and learned from. I ground the monologue in concrete decision points: what to automate versus humanize, how to budget for resilience, how to measure the cost of downtime versus the cost of redundancy, and how to institutionalize post-incident learning. Listeners walk away with a checklist of governance controls, measurable KPIs, and change levers to keep AI delivering predictable business continuity. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    10 min
  3. Feature Stores as Strategic Infrastructure: A C-Level Playbook for Governance, Scale, and ROI

    2d ago

    Feature Stores as Strategic Infrastructure: A C-Level Playbook for Governance, Scale, and ROI

    Feature stores are often described as a technical layer for consistency and reuse—but for leaders they must become a strategic control point that unlocks reliable, auditable ML at scale. In this focused monologue Mirko translates the engineering details of feature stores into executive decisions: ownership and operating models, trade-offs between centralization and productized domains, metadata and lineage as audit-ready controls, latency and freshness versus cost, and metrics that tie feature investments back to business value. Using pragmatic examples and common failure patterns, the episode gives C-level leaders and senior data practitioners a concrete playbook to prioritize features as products, set SLAs and incentives, govern access and provenance, and measure ROI. The goal: actionable governance and investment guidance so feature infrastructure stops being a source of fragility and becomes a sustainable engine for predictable AI impact. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    9 min
  4. AI FinOps for Leaders: A C-Level Playbook to Manage Cost, Incentives, and Value

    3d ago

    AI FinOps for Leaders: A C-Level Playbook to Manage Cost, Incentives, and Value

    AI projects often fail to show repeatable returns because leaders treat compute, data, and model lifecycle costs as invisible overhead. This episode gives C-level leaders a compact, actionable playbook to bring financial rigor to AI: how to measure unit economics for models, build chargeback and incentive structures that reward value not usage, create cost-aware model lifecycle policies, and embed FinOps as a cross-functional control point. Listeners will get concrete metrics to track (cost per inference, training cost amortization, data cost per pipeline), governance patterns that preserve innovation, and a decision framework for trade-offs between accuracy, latency, and spend. The monologue blends executive strategy with hands-on controls so leaders can start changing governance, budgeting, and team incentives within weeks rather than quarters. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    9 min
  5. Causalization: An Executive Playbook to Turn Causal Inference into Reliable Business Decisions

    4d ago

    Causalization: An Executive Playbook to Turn Causal Inference into Reliable Business Decisions

    Executives know correlation-driven models can mislead decisions. This episode reframes how leaders move beyond predictive analytics to build causal decision systems that create measurable business impact. Mirko delivers a focused 23-minute executive monologue explaining when to invest in causal methods, how to translate business questions into identification strategies, and pragmatic paths from randomized trials and natural experiments to causal models for decision automation. The episode walks through selecting use cases, designing instrumentation, aligning cross-functional stakeholders, and measuring causal lift and ROI. Listeners will learn governance patterns, risk controls, and staged adoption approaches that reduce complexity while preserving speed. Practical examples illustrate trade-offs between experiment-first, observational causal inference, and hybrid approaches. Designed for C-levels and senior data leaders, this episode gives actionable guidance to decide where causalization is worth the investment, how to de-risk pilots, and how to operationalize causal insights into reliable, auditable decisions. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    10 min
  6. Model Portfolio Management: A C-Level Playbook for Balancing Risk, ROI, and Innovation

    5d ago

    Model Portfolio Management: A C-Level Playbook for Balancing Risk, ROI, and Innovation

    Executives increasingly oversee dozens of production models across markets, products, and use cases. This episode gives C-level leaders a pragmatic playbook for managing AI as a portfolio: how to measure marginal value, balance short-term ROI against long-term innovation, allocate scarce engineering and data capital, and retire or hedge underperforming models. Mirko walks through concrete frameworks for portfolio segmentation, risk-adjusted performance metrics, investment gates, and operating rhythms that tie model decisions to business KPIs. You’ll get vivid, cross-industry use cases for when to double down, when to scale, and when to decommission; governance patterns that preserve agility while enforcing accountability; and practical checklists for executive reviews, incentive alignment, and cost control. The episode is for leaders who must move beyond hero projects to repeatable, measurable AI returns across the enterprise. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    9 min
  7. Sustainable AI: A C-Level Playbook for Measuring and Reducing Your AI Carbon Footprint

    6d ago

    Sustainable AI: A C-Level Playbook for Measuring and Reducing Your AI Carbon Footprint

    This episode gives C-level leaders and senior data executives a pragmatic playbook for integrating sustainability into enterprise AI strategy. Rather than high-level rhetoric, it lays out measurable metrics (kWh, CO2e per inference/training, infrastructure amortization), practical instrumentation points across the ML lifecycle, and decision frameworks that balance model performance, cost, and carbon. You’ll hear concrete examples of trade-offs—when to retrain versus prune, move workloads between regions or clouds, or swap model architectures—and how to turn sustainability goals into governance controls, procurement requirements, and executive KPIs. The episode explains how to quantify ROI from efficiency (cost savings, regulatory risk reduction, brand value) and operationalize continuous reporting without slowing innovation. Designed for CEOs, CTOs, Chief Data Officers, and Heads of Analytics, this episode equips leaders to make defensible sustainability decisions that align with risk, cost, and competitive priorities. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    10 min
  8. AI in M&A: A C-Level Playbook for Evaluating, Integrating, and Realizing Value from AI Assets

    Jun 8

    AI in M&A: A C-Level Playbook for Evaluating, Integrating, and Realizing Value from AI Assets

    This episode gives C-level leaders a practical playbook for evaluating AI assets during mergers and acquisitions and for turning acquired machine learning, analytics, and data capabilities into measurable business outcomes. Mirko walks listeners through due diligence frameworks covering model quality, data lineage, IP and licensing, operational resilience, and regulatory compliance. The episode explains valuation approaches for AI-driven revenue and cost benefits, negotiation levers like escrows and earnouts, and integration patterns for data platforms and model operationalization. Leaders will get checklists for prioritizing risks, designing post-close governance and accountability, retaining critical AI talent, and aligning integration KPIs to P&L impact. Real-world pitfalls, practical mitigation steps, and executive decision points make the content immediately actionable for CEOs, CFOs, CTOs, and CDOs involved in transactions that include AI. Subscribe for more executive playbooks and frameworks you can apply the next time a deal touches data or models. Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support. I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.

    8 min
See All (94)

Ratings & Reviews

5
out of 5
2 Ratings

About

Welcome to The DataScience Show, hosted by Mirko Peters — your daily source for everything data! Every weekday, Mirko delivers fresh insights into the exciting world of data science, artificial intelligence (AI), machine learning (ML), big data, and advanced analytics. Whether you’re new to the field or an experienced data professional, you’ll get expert interviews, real-world case studies, AI breakthroughs, tech trends, and practical career tips to keep you ahead of the curve. Mirko explores how data is reshaping industries like finance, healthcare, marketing, and technology, providing actionable knowledge you can use right away. Stay updated on the latest tools, methods, and career opportunities in the rapidly growing world of data science. If you’re passionate about data-driven innovation, AI-powered solutions, and unlocking the future of technology, The DataScience Show is your essential daily listen. Subscribe now and join Mirko Peters every weekday as he navigates the data revolution! Keywords: Daily Data Science Podcast, Machine Learning, Artificial Intelligence, Big Data, AI Trends, Data Analytics, Data Careers, Business Intelligence, Tech Podcast, Data Insights. datascience.show Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.

Information

  • Creator
    Mirko Peters
  • Years Active
    2025 - 2026
  • Episodes
    94
  • Rating
    Clean
  • Copyright
    © Mirko Peters
  • Show Website
    DataScience Show Podcast