Weaving Intelligence
Roadmap
What's coming next across the threads — the threads we're actively weaving and the ones still filling the bench.
What’s coming across the threads. Weaving Intelligence is publishing — the first articles are live and the schedule below is the plan behind them: the rhythm, the threads, and the Deep Dive investigations lined up for the first quarter.
What’s locked is the rhythm below. The week-by-week schedule at the foot of this page is generated from the publication ledger every time the site is built, so it is the real plan — sequenced by week and anchored to launch, which means every date moves together if launch does.
The weekly rhythm
A steady cadence — five or six articles a week
- Monday — General MDM (Elias). The foundational piece each week.
- Tuesday — Profisee MDM (Isabel). Extends Monday’s MDM article onto the Profisee platform.
- Wednesday — MDM + AI (Maya). Core thread.
- Thursday — AI + BI (Jordan). Core thread.
- Friday — Enterprise Data Strategy (Marcus) / Enterprise Data Governance (Catherine), which share the Friday slot — one or the other each week, so every Friday carries an article.
- Every third Friday — a Deep Dive as well (Terry). The Deep Dive is published alongside that Friday’s article, not in place of it — so those weeks run to six.
Performance and cadence get reviewed after the first three months.
Deep Dives
Investigations every third Friday
A complete Deep Dive package — four investigation articles plus a wrapper — publishes every third Friday (roughly seventeen a year), authored by Terry Hale and sent to anyone who requests a package. It is an addition to that week, not a substitution: the Friday article still runs. The first quarter’s four:
- The Business Case That Survives the Committee — 18 September. What the argument for this work actually looks like from inside the room: how you size it, how you shape it to the people who approve it, and what to put in front of a CFO instead of the headline industry number.
- The Profisee MDM Implementation Journey, End to End — 9 October. The flagship investigation: what it actually takes to stand the platform up, hand it over, and have it still be running a year later — written from implementations rather than from the datasheet.
- Trustworthy Data Foundations for Enterprise AI — 30 October. The publication’s core thesis, worked through in depth: what has to be true of your master data before a model is worth pointing at it, and how much of the return credited to AI was really earned by the foundation underneath it.
- Pointing a Model at Master Data — 20 November. Governed AI enrichment on a master-data foundation: the order of operations, what has to be true of the data before a model is worth aiming at it, and where it fails on real records rather than in the papers.
Threads
Six on the weekly rhythm
Scheduled and running weekly: General MDM, Profisee MDM, MDM + AI, AI + BI, Enterprise Data Strategy, and Enterprise Data Governance — plus the Deep Dive every third Friday. The publication’s bench reaches further — data quality, privacy and ethics, observability and reliability, integration, semantics and knowledge graphs, storytelling, and cloud data architecture — and those threads join the schedule as their content is planned. Browse the threads.
Every article on the calendar is listed below, week by week, straight from the publication ledger.
The schedule
The first quarter, week by week
Every article on the calendar, straight from the publication ledger — sixty-nine pieces across thirteen weeks, opening 17 August 2026 and running to 27 November 2026. This list is generated from the ledger each time the site is built, so it is what is actually planned, not a summary of it.
Dates are the plan, not a promise. The whole schedule is anchored to launch week; if launch moves, every date below moves with it. Deep Dive themes are still being finalized — see above.
Week 1 — 17–21 August 2026
- Mon 17 AugGeneral MDM — We've Made This Case Before: How the Enterprise MDM Business Case Grew Up published
- Tue 18 AugProfisee MDM — The Business Case We Built From the Demo published
- Wed 19 AugMDM + AI — Costing the Promise: The Parts of an AI-MDM Business Case You Can Actually Check published
- Thu 20 AugAI + BI — The Number Was Never Doing the Work: AI, BI, and the Limits of Better Evidence published
- Fri 21 AugEnterprise Data Strategy — The Strategy Document Is Newer Than the Argument It Settles published
Week 2 — 24–28 August 2026
- Mon 24 AugGeneral MDM — One Sponsor Is a Single Point of Failure: Sustaining Executive Support for an MDM Program published
- Tue 25 AugProfisee MDM — Nobody Wins a Sponsor in Flight published
- Wed 26 AugMDM + AI — Load-Bearing: The Question to Ask Before AI-Enhanced MDM Becomes Your Differentiator published
- Thu 27 AugAI + BI — Ideally, Nothing: What Agentic AI Actually Changes About Trusted Master Data published
- Fri 28 AugEnterprise Data Governance — Before It Had a Name: How Master Data Ended Up at the Bottom of Every Governance Framework published
Week 3 — 14–18 September 2026
- Mon 14 SepGeneral MDM — Practical playbook for aligning MDM initiatives with digital transformation and customer experience goals — frameworks, templates, and lessons from the field
- Tue 15 SepProfisee MDM — A practical guide to aligning Profisee implementations with digital transformation and customer 360 initiatives using Profisee with examples and configuration steps
- Wed 16 SepMDM + AI — Separating hype from reality in AI applications to aligning AI and MDM roadmaps so they reinforce each other at the enterprise level — what actually works
- Thu 17 SepAI + BI — Myth-busting AI in building decision intelligence capabilities that combine governed master data with AI models — evidence from organizations leading in AI-augmented analytics
- Fri 18 SepDeep Dives — The Business Case That Survives the Committee
- Fri 18 SepEnterprise Data Governance — Challenging assumptions: what aligning governance frameworks with business strategy while maintaining strong master data controls is really like when done well at enterprise scale
Week 4 — 21–25 September 2026
- Mon 21 SepGeneral MDM — The future of measuring and communicating MDM ROI beyond simple cost savings: emerging trends, technologies, and paradigm shifts
- Tue 22 SepProfisee MDM — Estimating a Profisee implementation honestly: what the vendor's published timelines measure, where the cost of being nearly right lands, and the shape of a date worth defending
- Wed 23 SepMDM + AI — Looking back: early attempts to apply AI to master data and lessons for today
- Thu 24 SepAI + BI — Looking back at early AI attempts in BI and lessons for current MDM and analytics programs
- Fri 25 SepEnterprise Data Strategy — Advanced technical considerations for scaling aligning enterprise data strategy with overall business strategy and digital transformation goals across the enterprise
Week 5 — 28 September – 2 October 2026
- Mon 28 SepGeneral MDM — The truth behind popular beliefs about positioning MDM as a strategic enabler rather than a technology project
- Tue 29 SepProfisee MDM — Where measuring and proving ROI with Profisee’s analytics and impact tracking capabilities is heading and how Profisee is positioned to lead
- Wed 30 SepMDM + AI — Advanced technical patterns for applying AI to avoiding the trap of pursuing AI in MDM without a clear strategic foundation at enterprise MDM scale
- Thu 1 OctAI + BI — Under the hood: how AI models, semantic layers, and master data interact in organizational readiness for shifting from human-driven to AI-assisted decision making in BI
- Fri 2 OctEnterprise Data Governance — Technical deep dive: frameworks, models, and operating patterns for federated, centralized, and hybrid governance operating models and their impact on MDM success
Week 6 — 5–9 October 2026
- Mon 5 OctGeneral MDM — How designing effective data stewardship roles and accountability structures evolved over the past two decades and the enduring lessons
- Tue 6 OctProfisee MDM — The truth about positioning Profisee as a strategic, lower-complexity alternative to legacy MDM platforms in real Profisee implementations
- Wed 7 OctMDM + AI — Practical implementation guidance, configuration, and change management for AI in using AI to automate and augment data stewardship workflows in MDM platforms
- Thu 8 OctAI + BI — How to successfully implement and govern AI capabilities for the evolution and current state of natural language querying in BI tools
- Fri 9 OctDeep Dives — The Profisee MDM Implementation Journey, End to End
- Fri 9 OctEnterprise Data Strategy — Looking back: how traditional approaches to designing enterprise data governance frameworks that scale beyond MDM programs shaped enterprise data strategy thinking today
Week 7 — 12–16 October 2026
- Mon 12 OctGeneral MDM — Advanced technical patterns and implementation considerations for federated vs centralized governance models and when each succeeds
- Tue 13 OctProfisee MDM — From legacy MDM approaches to Profisee: the history behind designing data stewardship workflows and accountability using Profisee’s stewardship portal
- Wed 14 OctMDM + AI — Predictions for AI-driven evolution of AI-assisted policy enforcement, exception handling, and workflow routing in MDM and implications for MDM practitioners
- Thu 15 OctAI + BI — Where how master data quality and semantic models directly impact the accuracy of NLQ and AI responses is heading and how AI will reshape business intelligence over the next decade
- Fri 16 OctEnterprise Data Strategy — From vision to execution: a hands-on playbook for creating a compelling vision and roadmap for enterprise-wide data capabilities including MDM across the organization
Week 8 — 19–23 October 2026
- Mon 19 OctGeneral MDM — Step-by-step: building effective capabilities around building and running high-impact data governance councils
- Tue 20 OctProfisee MDM — Technical deep dive: how Profisee implements and optimizes implementing federated vs centralized governance models effectively in Profisee
- Wed 21 OctMDM + AI — The truth about AI's impact on the evolving role of human stewards when AI handles routine MDM governance tasks based on real MDM implementations
- Thu 22 OctAI + BI — Myths vs reality: common misconceptions about AI in practical approaches to implementing governed natural language interfaces on top of MDM
- Fri 23 OctEnterprise Data Governance — How to design, implement, and sustain building scalable governance operating models that support both master data and analytical data domains at enterprise scale
Week 9 — 26–30 October 2026
- Mon 26 OctGeneral MDM — Where creating governance policies that actually get adopted and enforced is heading in the next 5–10 years and what it means for practitioners
- Tue 27 OctProfisee MDM — Practical Profisee configuration and best practices for building high-impact data governance councils supported by Profisee dashboards and workflows
- Wed 28 OctMDM + AI — Looking back: early attempts to apply AI to master data and lessons for today
- Thu 29 OctAI + BI — Looking back at early AI attempts in BI and lessons for current MDM and analytics programs
- Fri 30 OctDeep Dives — Trustworthy Data Foundations for Enterprise AI
- Fri 30 OctEnterprise Data Governance — Looking back: early approaches to designing effective data stewardship roles, responsibilities, and accountability across the enterprise and their lasting impact on MDM practices today
Week 10 — 2–6 November 2026
- Mon 2 NovGeneral MDM — Challenging assumptions: what measuring governance maturity and effectiveness over time is really like in successful programs
- Tue 3 NovProfisee MDM — Where creating enforceable governance policies and automated workflows inside Profisee is heading and how Profisee is positioned to lead
- Wed 4 NovMDM + AI — Advanced technical patterns for applying AI to measuring the effectiveness and risks of AI-augmented governance in MDM at enterprise MDM scale
- Thu 5 NovAI + BI — Advanced technical considerations for building reliable AI capabilities in the future of conversational analytics and its implications for master data governance
- Fri 6 NovEnterprise Data Strategy — Predictions for balancing short-term data projects with long-term enterprise data strategy investments in an AI-driven, autonomous data future
Week 11 — 9–13 November 2026
- Mon 9 NovGeneral MDM — From early data silos to enterprise platforms: the history of systematic data profiling and root cause analysis in complex environments
- Tue 10 NovProfisee MDM — The truth about measuring governance maturity and adoption using Profisee’s built-in metrics and reporting in real Profisee implementations
- Wed 11 NovMDM + AI — How to successfully implement and operationalize AI for applying machine learning to detect, diagnose, and remediate data quality issues at scale in MDM in MDM programs
- Thu 12 NovAI + BI — How to successfully implement and govern AI capabilities for how AI is automating the discovery and communication of insights in BI environments
- Fri 13 NovEnterprise Data Governance — Where the evolution of enterprise data governance models and implications for modern MDM programs is heading and how it will impact MDM strategies over the next decade
Week 12 — 16–20 November 2026
- Mon 16 NovGeneral MDM — Advanced technical patterns and implementation considerations for building sustainable data quality monitoring and alerting frameworks
- Tue 17 NovProfisee MDM — Tracing the evolution of leveraging Profisee’s integrated data quality capabilities for profiling and remediation and Profisee’s role in current best practices
- Wed 18 NovMDM + AI — Predictions for AI-driven evolution of AI-driven data profiling, anomaly detection, and root cause analysis for master data and implications for MDM practitioners
- Thu 19 NovAI + BI — Predictions for AI-driven evolution of the critical dependency between high-quality master data and trustworthy automated insights and implications for MDM and data strategy
- Fri 20 NovDeep Dives — Pointing a Model at Master Data
- Fri 20 NovEnterprise Data Strategy — Under the hood: how enterprise data platforms and MDM systems work together for federated, centralized, and hybrid governance models
Week 13 — 23–27 November 2026
- Mon 23 NovGeneral MDM — How to successfully implement and operationalize the relationship between data quality rules and business process rules
- Tue 24 NovProfisee MDM — Technical deep dive: how Profisee implements and optimizes building continuous data quality monitoring and alerting using Profisee
- Wed 25 NovMDM + AI — Myths vs reality: common misconceptions about using AI for how AI changes traditional data quality rules and monitoring approaches in MDM in MDM
- Thu 26 NovAI + BI — The truth about AI's impact on governing AI-generated narratives, explanations, and stories in business intelligence based on real BI and analytics implementations
- Fri 27 NovEnterprise Data Strategy — Myths vs reality: common misconceptions about measuring the maturity and effectiveness of an enterprise data strategy over time at the enterprise level