DataScience Show Podcast

Too many organizations create advisory ethics groups that are polite but powerless. This episode opens with a short anonymized mini‑case: a product team ignored advisory recommendations, an algorithmic harm surfaced publicly, and remediation cost the company time, trust, and budget. Mirko then delivers a compact, pragmatic 30–90 day C‑Suite playbook: drafting a charter that grants pause and escala...

Strategic partnerships—joint ventures, channel integrations, data co-ops, and platform alliances—are where AI scale often happens, but they also create ambiguous ownership, data-usage friction, and misaligned incentives. In this 20-minute executive monologue Mirko opens with a concise vignette where an ungoverned marketplace integration created a revenue dispute and compliance exposure. He then de...

Internal reviews are necessary but not sufficient: independent third‑party audits translate technical findings into credible, fundable actions for boards, auditors, and insurers. This 20‑minute decision-first monologue opens with a concise vignette where an internal check missed a vendor dependency that external auditors later flagged, producing weeks of costly remediation. Mirko then presents a n...

Many C-level leaders treat AI risk as internal control; few know how to transfer residual risk to insurance or structure warranties. This 20-minute executive monologue opens with a concise vignette where an algorithmic pricing error triggered a multimillion-dollar claim and insurer rejection. Mirko then presents a non-technical, decision-first playbook for AI Risk Transfer: inventory transferable...

Models degrade for predictable reasons—seasonality, shifting customer behavior, pipeline changes, and calendar-driven promotions—but executives rarely fund sustained freshness practices until revenue drifts. In this 20‑minute monologue Mirko opens with a concise vignette where a forecasting model missed a seasonal peak and cost inventory millions, then lays out a non-technical, decision-first play...

Enterprises waste time, money, and trust when every team rebuilds similar models or reuses uncertified artifacts. This 20‑minute executive monologue opens with a concise vignette where duplicated churn-detection models produced inconsistent customer outcomes and ballooning costs. Mirko then delivers a non-technical playbook for building an internal Model Marketplace: how to inventory candidate mod...

High-quality labels are the unsung input that determines whether models deliver predictable business outcomes—or unpredictable risk. This 20‑minute executive monologue opens with a concise vignette where poor labeling inflated a fraud model’s false positives and cost the business millions in churn. Mirko then delivers a non-technical, decision-first playbook: how to treat labeling as a product (ow...

Large technical proofs-of-concept fail not for lack of accuracy but because they collide with organizational friction: unclear decision owners, brittle data flows, regulatory constraints, and operational bottlenecks. This 20-minute executive monologue opens with a concise vignette where a successful pilot stalled because three business units couldn’t agree on ownership. Mirko then delivers a pract...

High-stakes AI still needs human judgment: content moderation, high-risk approvals, exception review, and safety triage all require reliable human oversight. Yet most organizations treat human review as ad hoc, underfunded, and invisible to risk reporting. This 20‑minute executive monologue gives leaders a compact, non-technical playbook to make HITL a measurable service: define service tiers and...

A vivid 20-minute executive primer that turns the abstract promise of a regulatory sandbox into executable actions and ready-to-use artifacts. It opens with a short, specific vignette where a fintech pilot surfaced biased pricing for a customer cohort, drew regulator inquiry, and threatened a major account—setting clear stakes for leaders. Mirko then walks a decision-first blueprint: choosing sand...

Enterprises routinely trade velocity for data exposure without an executive-level ledger to decide what to protect, monitor, or accept. In this 20-minute monologue Mirko introduces the 'Privacy Budget'—a simple, durable governance construct that treats data exposure like a spendable resource. He opens with a concise vignette where untracked customer data access created regulatory callbacks and bra...

AI systems accrue 'fairness debt'—undetected disparate impacts, buried trade-offs, and shadow remediation costs that compound as models scale. In this 20‑minute executive monologue Mirko opens with a concise vignette where a lending model’s hidden bias produced regulatory scrutiny and a costly remediation program, then lays out a pragmatic, non-technical playbook: rapid detection signals (complain...

Organizations accumulate metric debt: dozens of overlapping KPIs, shifting definitions, and undocumented downstream consumers that cause model drift, perverse incentives, and repeated incidents. In this 20-minute monologue Mirko opens with a concise vignette where competing definitions of “active customer” led models to optimize for the wrong cohort and triggered costly product moves. He then pres...

Models that emit scores rarely include the binding rules leaders need: who acts, when, at what threshold, and who pays for mistakes. In this 20‑minute executive monologue Mirko introduces ‘Decision Contracts’—compact, board‑readable agreements that translate predictions into executable, funded business decisions. The episode defines the contract’s essential fields (decision trigger and action matr...

Too many AI programs fail not for lack of models but because incentives push the wrong behavior: teams optimize vanity metrics, vendors chase one‑time uplift, and business owners avoid ownership of outcomes. In this 20‑minute executive monologue Mirko lays out a compact, pragmatic playbook for designing incentives and performance systems that tie funding, career signals, and product KPIs to measur...

Executives often demand reliability from AI but lack a shared language to measure it. In this 20-minute monologue Mirko opens with a concise vignette where unseen model latency and stale features caused revenue slippage, then delivers a compact, decision-first playbook for Service-Level Objectives (SLOs) tailored to models and data. Listeners learn how to define business-aligned SLOs (accuracy ban...

Dynamic pricing can unlock margin and responsiveness, but when algorithmic prices misalign with customer expectations or regulation, revenue wins can turn into churn, complaints, and legal risk. In this 20‑minute executive monologue Mirko presents a concise playbook for governing algorithmic pricing: translate pricing goals into board-ready SLOs (price stability, realized uplift, churn elasticity)...

Many leaders celebrate accurate models but can’t prove they change outcomes. In this 20‑minute episode Mirko opens with a vivid executive vignette: a personalization pilot that tripled engagement yet didn’t move revenue, and uses that story to frame a compact, non‑technical playbook—what he calls causal decisioning—for proving AI actually drives value. He defines causal decisioning and the term “u...

Enterprises routinely hit practical limits: unavailable or sensitive data, rare-event gaps, and slow procurement that stalls valuable AI projects. In this focused 20‑minute episode Mirko gives senior leaders a pragmatic, decision-first playbook for using synthetic data as a strategic lever—not a silver bullet. Listeners get a short anonymized micro‑case showing measurable business impact, a plain‑...

(00:00:00) Welcome to Datascience Dot Show (00:00:23) The Hidden Risk of Embedded AI in M&A (00:01:52) Pre-Deal AI Due Diligence Checklist (00:03:33) Fast Signals for Model and Data Health (00:05:15) Translating Findings into Deal Mechanics (00:06:46) Legal and IP Red Flags to Watch Out For (00:08:13) 30-90 Day Integration Playbook (00:10:58) Case Study: AI Integration Challenges (00:11:53) Three...

(00:00:00) Welcome to Data Science Dot Show (00:00:24) The Hidden Dangers of AI System Retirement (00:01:52) Identifying Retirement Signals in AI Models (00:03:44) The Decision Rubric for Model Retirement (00:05:48) Practical Blueprints for Model Transition (00:06:48) Governance and Communication in Model Retirement (00:08:30) Budgeting and Funding for Model Transitions (00:09:19) Implementing a M...

(00:00:00) Welcome to Data Science Dot Show (00:00:27) AI on the Balance Sheet: A Boardroom Perspective (00:00:45) The Six Million Dollar Model Error (00:01:18) Translating Model Risk into ERM Language (00:02:15) Unpacking the Mini Case: A Step-by-Step Analysis (00:03:06) Mapping AI Risk to ERM Categories (00:03:51) Key Metrics for AI Risk Assessment (00:05:11) Mitigating AI Risk: Three Levers (00...

(00:00:00) Welcome to Datascience Dot Show (00:00:29) The Hidden Costs of AI Pilots (00:02:30) Mapping Outcomes to Sourcing Strategies (00:03:52) Four Common Approaches to Foundation Models (00:04:37) Legal and Procurement Checklist (00:05:18) Total Cost of Ownership Considerations (00:06:41) Data Rights and Exit Clauses (00:07:29) Operational and Security Considerations (00:08:05) Organizational...

(00:00:00) Welcome to Datascience Dot Show (00:00:26) The Importance of AI Incident Simulations (00:02:22) Four High-Impact AI Scenario Families (00:03:32) Designing Effective Tabletop Exercises (00:04:05) Defining Decision Gates and Roles (00:05:52) Measuring Readiness and Post-Mortems (00:07:28) Implementing a 90-Day Rollout Plan (00:08:13) Actionable Steps and Closing Remarks (00:08:53) Downloa...

(00:00:00) Welcome to Data Science Dot Show (00:00:25) The Problem of Unsustainable AI Models (00:01:56) Four Internal Pricing Patterns for Data Products (00:04:33) Funding Models for Data Platforms (00:06:22) Governance and Incentives for Data Products (00:07:55) Practical Vignettes and Lessons Learned (00:09:13) Board-Ready KPIs for Data Products (00:09:53) 30-Day Rollout Plan for Data Products...