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. <br /><br /><a href="https://datascience.show?utm_medium=podcast" target="_blank" rel="noreferrer noopener">datascience.show</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support</a>.
DataScience Show Podcast
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Podcast Overview
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. <br /><br /><a href="https://datascience.show?utm_medium=podcast" target="_blank" rel="noreferrer noopener">datascience.show</a><br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support</a>.
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Publishing Since
4/22/2025
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Recent Episodes
June 22, 2026
Synthetic Data Strategy for Enterprise AI: An Executive Playbook to Unlock Privacy-Safe Training Data
Many enterprises see synthetic data as a promising shortcut to more labeled data and safer sharing, but few have turned it into a repeatable, measurable capability. This episode gives C-level leaders and senior data executives a practical playbook for defining when synthetic data makes sense, how to validate utility and fidelity for business decisions, and how to govern synthetic pipelines without slowing delivery. I walk through real-world use cases where synthetic data reduced time-to-model, preserved customer privacy, and enabled cross-team collaboration; expose common failure modes (bias amplification, leakage, mismatched distribution); and translate those risks into executive controls: product acceptance criteria, validation gates, ROI metrics, and contractual guardrails. Listeners will get an operational checklist they can use immediately to prioritize synthetic-data investments, structure vendor and internal responsibilities, and measure the impact on model performance and time-to-value.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support</a>.<br /><br />I share practical <b>AI leadership notes</b> on LinkedIn — the kind you can forward internally or reuse in executive discussions.<br /><a href="https://www.linkedin.com/in/m365showpodcast/" target="_blank" rel="noreferrer noopener">Follow Mirko on LinkedIn</a> if you want decision-ready frameworks, not hype.
June 21, 2026
M&A for AI: An Executive Playbook for Due Diligence, Value Capture, and Integration
Acquiring AI teams, models, and data is increasingly a strategic shortcut to capability—but M&A for AI requires its own executive playbook. This episode walks senior leaders through a pragmatic sequence: what to evaluate in technology, data, people, IP, and contracts; how to surface hidden technical and operational debt; deal-structure levers that preserve incentives; and the integration moves that actually capture value (product alignment, runbooks, SLAs, governance, and retention plans). The monologue blends C-level decision frameworks with concrete diligence checklists and post-close integration tactics designed for enterprise scale. Listeners will leave with a prioritized, risk-aware checklist they can use in negotiations and a clear set of organizational actions that turn an acquired AI asset into measurable ROI. The focus is operational, legal-aware, and executive-friendly—built for leaders who must translate acquisition intent into sustained impact.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support</a>.<br /><br />I share practical <b>AI leadership notes</b> on LinkedIn — the kind you can forward internally or reuse in executive discussions.<br /><a href="https://www.linkedin.com/in/m365showpodcast/" target="_blank" rel="noreferrer noopener">Follow Mirko on LinkedIn</a> if you want decision-ready frameworks, not hype.
June 20, 2026
Productizing Data: An Executive Playbook to Turn Models into Revenue-Generating Data Products
Many organizations struggle to convert successful ML prototypes into scalable, revenue-producing data products. This episode gives senior leaders a practical playbook for closing that gap: how to define a product mindset for data, choose monetization models, embed operational SLAs and governance, and align GTM, pricing, and legal considerations so AI initiatives become sustainable business lines. Mirko walks listeners through real executive decisions—when to license vs. embed models, how to structure product teams and KPIs, required platform capabilities, and how to measure incremental revenue and margin. The episode focuses on trade-offs, common failure modes, and governance patterns that preserve trust and compliance while enabling commercialization. Actionable for CEOs, CDOs, Heads of Analytics, and product leaders, it translates technical possibilities into board-level investment criteria and a repeatable roadmap to scale data products from experiment to predictable income.<br /><br />Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support</a>.<br /><br />I share practical <b>AI leadership notes</b> on LinkedIn — the kind you can forward internally or reuse in executive discussions.<br /><a href="https://www.linkedin.com/in/m365showpodcast/" target="_blank" rel="noreferrer noopener">Follow Mirko on LinkedIn</a> if you want decision-ready frameworks, not hype.
101 total episodes available
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Frequently asked questions
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- What is DataScience Show Podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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