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DataScience Show Podcast

DataScience Show Podcast

De : Mirko Peters
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À propos de ce contenu audio

 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.

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Become a supporter of this podcast: https://www.spreaker.com/podcast/datascience-show-podcast--6817783/support.Mirko Peters Economie
Épisodes
  • AI Investment Portfolio: A C-Level Playbook to Prioritize and Fund AI Initiatives

    AI Investment Portfolio: A C-Level Playbook to Prioritize and Fund AI Initiatives
    May 4 2026
    Executives face a steady stream of AI proposals but rarely a disciplined method to prioritize, fund, and scale the ones that produce measurable business value. This episode introduces a pragmatic AI investment portfolio framework for C-level leaders: define expected value and risk profiles, adopt stage-gated funding, balance short-term operational wins with strategic bets, and align capacity across data, engineering, and governance. I unpack concrete metrics—expected value, time-to-impact, cost-to-production—and a simple scoring model plus an executive review cadence that converts pilots into a diversified portfolio. Through concise, real-world examples I show common trade-offs (double down, pivot, or sunset), resource reallocation strategies, and how to avoid “pilot trap” churn. The monologue closes with governance templates, scoring pitfalls to avoid, and a repeatable 90-day playbook for prioritization and funding decisions that help leaders maximize ROI and institutionalize sustained AI value.

    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.
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    9 min
  • Building the AI Runway: Executive Capacity Planning to Sustain AI at Scale

    Building the AI Runway: Executive Capacity Planning to Sustain AI at Scale
    May 3 2026
    Many AI initiatives stall not because the models are weak but because organizations run out of runway: data availability, compute, talent, or governance capacity. This episode gives C-level leaders a concise, operational framework to build a multi-year AI runway that aligns strategy, budget, and operational reality. Mirko walks through how to quantify dataset velocity, forecast feature engineering throughput, size compute and storage for production workloads, plan hiring and skill shifts, and bake governance and compliance into capacity decisions. The approach focuses on decision-driven metrics, cross-functional slos, and sanity checks that separate optimistic experiments from fundable, repeatable programs. Listeners will get an executive checklist, three realistic forecasting templates, and example trade-offs—so you can present a defensible three-year AI capacity plan to your board or executive committee.

    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.
    Afficher plus Afficher moins
    10 min
  • Data Contracts and SLO-Driven Data Products: An Executive Playbook to Treat Data as a Measurable Service

    Data Contracts and SLO-Driven Data Products: An Executive Playbook to Treat Data as a Measurable Service
    May 2 2026
    Many organizations struggle not for lack of models but for a lack of predictable, trustworthy data. This episode gives C-level leaders a practical playbook for treating data as a product governed by lightweight contracts, service-level objectives (SLOs), and measurable SLAs. Mirko walks listeners through translating business KPIs into enforceable data SLOs, defining producer-consumer contracts, and building the observability and governance needed to reduce downstream surprises. The monologue covers decision frameworks for strict versus flexible contracts, trade-offs between agility and reliability, incentive models to align teams, and a step-by-step roadmap to roll out SLO-driven data products. Expect concrete examples, a sample minimal contract template, and metrics that tie data reliability improvements to business ROI—onboarding time, incident reduction, and model trust. Designed for CEOs, CTOs, Chief Data Officers and senior data leaders, this episode focuses on executable leadership moves that close the loop from strategic outcomes to engineering delivery.

    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.
    Afficher plus Afficher moins
    10 min
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