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. The foundational piece each week.
- Tuesday — Profisee MDM. Extends Monday’s MDM article onto the Profisee platform.
- Wednesday — MDM + AI. Core thread.
- Thursday — AI + BI. Core thread.
- Friday — Enterprise Data Strategy / Enterprise Data Governance, 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. 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), 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 — 25 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 — 16 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 — 6 November. 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 — 27 November. Governed AI enrichment on a master-data foundation: the order of operations, what a model may change without a person signing it off, 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 schedule, week by week
Everything published so far and everything scheduled for the next 90 days, straight from the publication ledger — 110 pieces across twenty-one weeks, opening 17 August 2026 and running to 28 January 2027. 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; the window moves forward with every build.
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 — The Case Was Already Assembled published
- Tue 18 AugProfisee MDM — The Business Case, Priced in Days 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 — Does Being Named the Foundation Get a Master Data Programme Funded? 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: Differentiator, Cost Centre, and the Question Neither Label Asks 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 — 21–25 September 2026
- Mon 21 SepGeneral MDM — On the Funding List, Off the Post-Mortem: What a Master Data Program Can Be Held To published
- Tue 22 SepProfisee MDM — Sixteen Name Fields and One Mailing Address published
- Wed 23 SepMDM + AI — Reinforce Is the Wrong Word: What an AI Roadmap Actually Does to an MDM Roadmap published
- Thu 24 SepAI + BI — More Coherent Either Way: Decision Intelligence, Governed Master Data, and the Question the Grid Doesn't Ask published
- Fri 25 SepDeep Dives — Approval Is Not the Decision published
- Fri 25 SepEnterprise Data Governance — A Distance From Perfect, Owned by Domain published
Week 4 — 28 September – 2 October 2026
- Mon 28 SepGeneral MDM — An Asset Is Not a Return: Where Measuring Master Data's Value Is Actually Heading published
- Tue 29 SepProfisee MDM — Time-to-Value Is Not Your Date published
- Wed 30 SepMDM + AI — Every Generation Moved the Work: Sixty-Seven Years of Machines on Master Data published
- Thu 1 OctAI + BI — The Vocabulary Outlived the Interface: Fifty Years of Asking the Data a Question published
- Fri 2 OctEnterprise Data Strategy — Alignment Is Not Distributed With the Document published
Week 5 — 5–9 October 2026
- Mon 5 OctGeneral MDM — Both and Neither: What the Master Data Project Builds, and When It Reopens published
- Tue 6 OctProfisee MDM — Proving the Platform Is Delivering: Read It as a Flow, Not a Finish Line published
- Wed 7 OctMDM + AI — Putty, Not Body Panels: Building AI into Master Data Without a Strategy Behind It published
- Thu 8 OctAI + BI — What the Model Cannot Infer: Semantic Layers, Master Data and Readiness for AI-Assisted Decisions published
- Fri 9 OctEnterprise Data Governance — Rules of Decreasing Strictness: What Each Tier of a Governance Operating Model Owes the Others, and Master Data published
Week 6 — 12–16 October 2026
- Mon 12 OctGeneral MDM — Who Owns the Data, Really? Whoever the Error Hurt published
- Tue 13 OctProfisee MDM — Simple Is a Trade: What Profisee's Lower Complexity Buys, and Who Pays for It published
- Wed 14 OctMDM + AI — Another Set of Eyes: How a Data Steward Should Work With What the AI Proposes published
- Thu 15 OctAI + BI — The Demo and the System: Implementing and Governing Natural-Language Query published
- Fri 16 OctDeep Dives — Where the Calendar Goes published
- Fri 16 OctEnterprise Data Strategy — Keep the Policy, Keep the Score, Move the Council published
Week 7 — 19–23 October 2026
- Mon 19 OctGeneral MDM — Mastered by the Domain, Republished by the Hub published
- Tue 20 OctProfisee MDM — The Queue Nobody Worked: Stewardship Accountability, From a Spreadsheet Estate to Profisee published
- Wed 21 OctMDM + AI — The Primrose Path: Where AI Is Taking Policy Enforcement, Exceptions and Routing in Master Data published
- Thu 22 OctAI + BI — Precise and Wrong: Master Data, Semantic Layers and the Next Decade of Natural-Language Answers published
- Fri 23 OctEnterprise Data Strategy — The Problem Picks the Sponsor, and the Budget Sets the Road published
Week 8 — 26–30 October 2026
- Mon 26 OctGeneral MDM — Give the Council Something to Decide published
- Tue 27 OctProfisee MDM — Two Features and a Rulebook: Federated Governance in Profisee published
- Wed 28 OctMDM + AI — Heads Up: The Data Steward's Job After the Routine Work Goes published
- Thu 29 OctAI + BI — Just a Tool: The One AI Myth Worth Naming, and What Is True Instead published
- Fri 30 OctEnterprise Data Governance — Two Models and a Seam: Governing Master Data and Analytical Data at Enterprise Scale published
Week 9 — 2–6 November 2026
- Mon 2 NovGeneral 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 3 NovProfisee MDM — Practical Profisee configuration and best practices for building high-impact data governance councils supported by Profisee dashboards and workflows
- Wed 4 NovMDM + AI — Looking back: early attempts to apply AI to data governance and stewardship work (rules engines, automatic classification, auto-approve thresholds, task routing) and what today's AI pitch repeats
- Thu 5 NovAI + BI — Looking back at the earlier waves of “smart” BI that came before natural-language analytics (data mining, exception alerts, the first semantic layers) and what current AI + BI programs inherit
- Fri 6 NovDeep Dives — Trustworthy Data Foundations for Enterprise AI
- Fri 6 NovEnterprise 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 — 9–13 November 2026
- Mon 9 NovGeneral MDM — Challenging assumptions: what measuring governance maturity and effectiveness over time is really like in successful programs
- Tue 10 NovProfisee MDM — Where creating enforceable governance policies and automated workflows inside Profisee is heading and how Profisee is positioned to lead
- Wed 11 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 12 NovAI + BI — Advanced technical considerations for building reliable AI capabilities in the future of conversational analytics and its implications for master data governance
- Fri 13 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 — 16–20 November 2026
- Mon 16 NovGeneral MDM — From early data silos to enterprise platforms: the history of systematic data profiling and root cause analysis in complex environments
- Tue 17 NovProfisee MDM — The truth about measuring governance maturity and adoption using Profisee’s built-in metrics and reporting in real Profisee implementations
- Wed 18 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 19 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 20 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 — 23–27 November 2026
- Mon 23 NovGeneral MDM — Advanced technical patterns and implementation considerations for building sustainable data quality monitoring and alerting frameworks
- Tue 24 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 25 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 26 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 27 NovDeep Dives — Pointing a Model at Master Data
- Fri 27 NovEnterprise Data Strategy — Under the hood: how enterprise data platforms and MDM systems work together for federated, centralized, and hybrid governance models
Week 13 — 30 November – 4 December 2026
- Mon 30 NovGeneral MDM — How to successfully implement and operationalize the relationship between data quality rules and business process rules
- Tue 1 DecProfisee MDM — Technical deep dive: how Profisee implements and optimizes building continuous data quality monitoring and alerting using Profisee
- Wed 2 DecMDM + 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 3 DecAI + 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 4 DecEnterprise Data Strategy — Myths vs reality: common misconceptions about measuring the maturity and effectiveness of an enterprise data strategy over time at the enterprise level
Week 14 — 7–11 December 2026
- Mon 7 DecGeneral MDM — Looking ahead: the next generation of data quality scorecards that drive real behavioral change and strategic implications
- Tue 8 DecProfisee MDM — Predictions for creating actionable data quality scorecards and dashboards in Profisee in the age of AI and modern data platforms — Profisee’s outlook
- Wed 9 DecMDM + AI — Technical deep dive: how AI and machine learning are transforming the limits and risks of relying on AI for master data quality decisions in MDM
- Thu 10 DecAI + BI — Engineering patterns for explainable, governed AI in business intelligence environments
- Fri 11 DecEnterprise Data Governance — Engineering and organizational patterns for implementing how master data stewardship differs from and integrates with stewardship of other data domains that includes strong MDM
Week 15 — 14–18 December 2026
- Mon 14 DecGeneral MDM — Myths vs reality: common misconceptions about integrating data quality into the broader MDM and analytics ecosystem debunked
- Tue 15 DecProfisee MDM — Challenging assumptions: what integrating Profisee data quality processes with downstream analytics and AI initiatives is really like when implemented in Profisee
- Wed 16 DecMDM + AI — Practical implementation guidance, configuration, and change management for AI in using AI and ML to improve customer matching, identity resolution, and golden record creation
- Thu 17 DecAI + BI — A practical guide to using AI to improve data discovery, recommendation, and semantic understanding in BI tools with frameworks, examples, and governance considerations
- Fri 18 DecDeep Dives — theme to be announced
- Fri 18 DecEnterprise Data Governance — Practical implementation guidance for building stewardship networks and communities of practice that support enterprise MDM initiatives with change management and operating model considerations
Week 16 — 21–25 December 2026
- Mon 21 DecGeneral MDM — How managing customer identity and the single view of customer across channels evolved over the past two decades and the enduring lessons
- Tue 22 DecProfisee MDM — Tracing the evolution of achieving a trusted single view of customer using Profisee’s customer MDM capabilities and Profisee’s role in current best practices
- Wed 23 DecMDM + AI — The future of AI-enhanced customer data enrichment, segmentation, and relationship discovery in MDM as AI capabilities continue to advance in MDM platforms
- Thu 24 DecAI + BI — How autonomous and agentic AI will transform how MDM and well-governed master data enable more accurate AI-driven data discovery in analytics and decision making
- Fri 25 DecEnterprise Data Strategy — How to develop and execute the relationship between MDM governance and broader enterprise data governance at enterprise scale
Week 17 — 28 December 2026 – 1 January 2027
- Mon 28 DecGeneral MDM — Technical deep dive: architectures, algorithms, and trade-offs in customer data survivorship strategies that balance completeness and accuracy
- Tue 29 DecProfisee MDM — Advanced technical patterns and Profisee-specific implementation details for configuring customer data survivorship and golden record strategies in Profisee
- Wed 30 DecMDM + AI — The truth about AI's impact on how AI changes the economics and accuracy of building trusted single views of customers based on real MDM implementations
- Thu 31 DecAI + BI — Myths vs reality: common misconceptions about AI in building and maintaining semantic layers that support both traditional BI and AI capabilities
- Fri 1 JanEnterprise Data Governance — The future of balancing business ownership of master data with centralized governance and technical teams and implications for master data management programs
Week 18 — 4–8 January 2027
- Mon 4 JanGeneral MDM — Practical playbook for handling customer privacy preferences and consent in MDM — frameworks, templates, and lessons from the field
- Tue 5 JanProfisee MDM — From strategy to execution: a hands-on Profisee playbook for managing customer privacy, consent, and preference data within Profisee
- Wed 6 JanMDM + AI — The historical evolution of privacy, consent, and ethical considerations when applying AI to customer master data and how AI is now reshaping traditional MDM approaches
- Thu 7 JanAI + BI — How the integration of AI into business intelligence has developed and its impact on master data needs
- Fri 8 JanDeep Dives — theme to be announced
- Fri 8 JanEnterprise Data Strategy — Looking ahead: the next generation of building enterprise data governance councils and operating models that support MDM success and its impact on master data management
Week 19 — 11–15 January 2027
- Mon 11 JanGeneral MDM — Looking ahead: the next generation of customer hierarchy and relationship management for B2B and B2C and strategic implications
- Tue 12 JanProfisee MDM — How Profisee will shape the future of modeling complex customer hierarchies and relationships in Profisee and what practitioners should prepare for
- Wed 13 JanMDM + AI — Technical deep dive: how AI and machine learning are transforming the future of AI-driven customer MDM and real-time personalization capabilities in MDM
- Thu 14 JanAI + BI — Under the hood: how AI models, semantic layers, and master data interact in the emergence of AI-augmented semantic models and their governance requirements
- Fri 15 JanEnterprise Data Strategy — Separating fact from fiction in enterprise measuring and improving enterprise data governance maturity beyond individual domains — what actually works in large organizations
Week 20 — 18–22 January 2027
- Mon 18 JanGeneral MDM — The truth behind popular beliefs about real-time customer master data synchronization challenges and patterns
- Tue 19 JanProfisee MDM — Myths vs reality: common misconceptions about enabling real-time customer master data synchronization with Profisee APIs and events when using Profisee
- Wed 20 JanMDM + AI — From strategy to execution: a hands-on playbook for AI-enhanced AI-assisted product classification, attribute extraction, and taxonomy management in MDM in MDM
- Thu 21 JanAI + BI — Practical implementation guidance for AI in how AI is changing dashboard design, personalization, and self-service experiences in BI including change management and MDM alignment
- Fri 22 JanEnterprise Data Governance — Myths vs reality: common misconceptions about measuring and improving the effectiveness of data stewardship in large, complex organizations and its relationship to MDM
Week 21 — 25–28 January 2027
- Mon 25 JanGeneral MDM — The historical development of product master data management across the full product lifecycle and what it teaches modern MDM programs
- Tue 26 JanProfisee MDM — How managing the full product lifecycle and attributes with Profisee Product MDM evolved and why Profisee represents a modern step forward
- Wed 27 JanMDM + AI — How autonomous and agentic AI will reshape using machine learning to improve product data completeness and quality at scale in master data management
- Thu 28 JanAI + BI — Predictions for AI-driven evolution of ensuring AI-personalized views and recommendations are based on trusted master data and implications for MDM and data strategy