The complete editorial archive — series, research, and field perspectives on governance, trusted data, and AI.
Cameron Price argues that AI requires organizations to rethink where data-product design begins: start with the business decision, work backwards to the context and evidence it requires, and bring trusted data closer to the point of decision.
Cameron Price on why the reusable unit of enterprise intelligence is not the AI agent, it is trusted business understanding, and why that becomes the enduring enterprise asset.
Customers rarely start with governance. They start with a decision they need to make. Lili Marsh explores why governance, context and trust now need to travel with data all the way to the point of decision.
Lili Marsh on why trusted, business-led data products — not AI models — determine enterprise AI success, and how business teams, data teams and partners can share one operating model.
Cameron Price on why AI advantage will not come from technology access alone. Purple People bridge business, trusted information, governance, and AI — turning capability into better decisions.
The data industry is moving beyond simply being data-driven. Cameron Price explains why the next era belongs to decision-driven organizations, where governed, trusted, business-ready data products bring data directly to the point of decision.
Discover how Active Data Governance moves governance from static documentation into real-time execution — enabling trusted, governed data products at the exact point decisions are made.
Data products promised accessible, trusted insights for business. So why are most teams still waiting? A look at the gap between promise and practice — and what's holding real value back.
Active governance moves beyond static documentation, embedding control directly into daily operations. The result: data that's not just cataloged, but trusted, usable, and ready for AI.
Active Data Governance turns passive policy into real-time, automated control — building quality, security, and trust into every decision, and unlocking a culture where governance empowers.
Latttice transforms governance from passive documentation to active practice — integrating with Collibra to embed trust into every data product, exactly where decisions get made.
Documentation alone won't get you to AI. This piece makes the case for active governance — dynamic, embedded, and built to deliver real business value, not just compliance.
With Lili Marsh: when data sits close to the customer it stops being infrastructure and becomes intimacy — turning raw information into actionable insight that powers a better experience.
The rebirth of data: from technical burden to strategic asset. Self-serve, governed data products — powered by AI and Zero-Code — finally hand ownership back to the business.
Analytics is shifting from presenting facts to crafting experiences. The future is intuitive, human, and felt — not just functional — making data resonate with everyone who uses it.
Cameron Price on the shift from data as a static product to data as an experience — designed with empathy, built for clarity, and active in every business decision.
From static dashboards to conversational AI: why the next era of analytics begins long before the chart, and how moving from chart to chat finally lets the business simply ask.
AI isn't just another wave — it's redefining work. From AI-driven layoffs to vibe coding, why data engineers must evolve into Data Catalysts, or risk being left behind.
When and why data stopped belonging to the business — and how the rise of the "data priesthood" hollowed out ownership, context, and trust. The next era of data and AI will be defined by empowerment, not centralization.
Latttice completes the data journey — bridging powerful platforms and the business outcomes they were meant to deliver. Shifting focus from the plumbing of data to the people who need the water.
Cameron Price on how the obsession with pipelines and platforms left organizations drowning in complexity rather than insight — and why the industry must rebalance from plumbing to outcomes.
Discover how decentralized data architecture is transforming the way organizations manage and use their data — returning ownership to the business, breaking silos, and turning access into agility, scalability, and innovation.
History is repeating itself. The same all-in-one promises that defined the Hadoop era now surround Databricks and Snowflake — and so do the risks: lost flexibility, vendor lock-in, and costly migrations. A call to architect for freedom, not just speed.
Data teams are stuck in firefighting mode while trust erodes and business waits. A philosophy problem, not a tech one — and the case for a different path built around the human at the center.
Cameron Price on the foundational shift that pushed business value to the periphery — when data became an engineering problem instead of a business opportunity, and what it will take to bring the soul back.
Solving data access inside dashboards leads to fragile, bespoke work that breaks trust. Latttice flips the story — empowering business teams to build governed, reusable data products and converse with their data. Zero-code needed.
Most enterprises are stuck waiting on their own data before they can even start with AI. Break the cycle: access data in-place, build governed data products in minutes, and launch AI initiatives today — not three years from now.
80% of enterprise data is unstructured and unused. Cameron Price on how GenAI and Latttice turn PDFs, video, audio and web content into governed, queryable data products — no code required.
Forget rewards and penalties. Lili Marsh on why performance outcomes — powered by trusted data and AI-enabled data mesh — are the real engine of results and a thriving workplace culture.
Jessie Moelzer cuts through the noise: wrong leaders, wrong builders, wrong assumptions about source-level quality. A call to reset Data Mesh and re-center the people who actually need data.
Contracts promise control, not quality. Why domain-owned, AI-assisted governance finally delivers real business outcomes.
Cameron Price on how AI is exposing the flaws in the consulting model — and why selling time is becoming obsolete.
Lili Marsh on the moment data engineering meets its Model T — and the new data leaders rising in its place.
Cameron Price on the outdated model that has engineers building dashboards, reports, and products for the business. Free the engineers, empower the domain owners — and let the people closest to the question build the answer.
Jessie Moelzer on the end of data theater. Cut the script — Latttice delivers answers, not delays.
Jessie Moelzer on the AI shift from querying to conversing — and why finding business data should feel as effortless as asking Chat.
Cameron Price on the cycle of empty AI mandates — boardroom directives, consultant theater, and how Fortune 500 boards can finally break free.
Lili Marsh on turning data complexity into strategic advantage — solving cost, time and complexity with AI-driven, zero-code data products.
Cameron Price on why generals fail without battle experience — and the leaders, with scars, who actually deliver real data outcomes.
Lili Marsh on ending silos and bottlenecks — decentralized, AI-driven data ownership that lets business teams act swiftly, confidently and on their own terms.
Cameron Price on the false dichotomy between framework creators and software vendors — and why collaboration, not competition, finally delivers customer outcomes.
Cameron Price on the next evolution of data management — autonomous AI agents that govern, scale and optimize a decentralized mesh, freeing domain teams to focus on strategy.
Jessie Moelzer on why Agile derails in data projects — and how Latttice fixes the access, alignment and quality issues that turn sprints into theater.
Lili Marsh on why most 'data mesh' programs are rebranded centralization — and what real, decentralized data products look like in practice.
Lili Marsh on solving the complexity, time and cost of data products — and turning reactive teams into proactive decision-makers in real time.
Cameron Price on breaking free from the bimodal IT trap — how decentralized, business-owned data products and Latttice deliver high accuracy and high speed without compromise.
Lili Marsh on Latttice as more than a tool — democratized access, data mesh principles, AI governance and plain-language insights that scale with the business.
Jessie Moelzer on how Latttice and ChattterBox turn fragmented HR, engagement and wellbeing data into accessible, actionable EX insights — without centralizing it all.
Cameron Price on Latttice's layered defenses — input validation, SQL guardrails, RBAC/ABAC/FGA, a control plane and continuous monitoring — that keep AI-driven data access safe from prompt injection and misuse.
Lili Marsh on how Latttice helps businesses act on live signals — sensing market shifts, customer behavior and operations as they happen, and turning data into the moment of decision itself.
Jessie Moelzer on why data products — owned by marketing, fused across CRMs, ads and analytics, and governed in place — are the secret weapon behind agile, high-impact campaigns.
Lili Marsh on why turning raw data into domain-owned data products — built without code, governed by design — is mission-critical for marketing, sales, finance and every team in between.
Cameron Price on the Data Catalyst — a new strategic role merging data discipline with domain expertise to lead AI-powered, decentralized transformation and turn data from cost center to growth driver.
Lili Marsh on the six barriers stalling enterprise Data Mesh — culture, literacy, interoperability, governance, resistance and replacement thinking — and the test-and-learn path through them with Latttice.
Jessie Moelzer on how AI and zero-code platforms dismantle the global data access bottleneck — empowering business domains without IT queues, vendor lock-in or technical debt.
Lili Marsh on the eight tenets behind every successful data product — and how Foundational, Fused and Analytical products turn fragmented data into a complete, actionable view.
Cameron Price on AI and zero-code as the catalysts that break the barriers of complexity, time and cost — turning data engineers into Data Catalysts and domain owners into real-time decision-makers.
Jessie Moelzer on ending the time-vs-money trade-off — how Latttice's AI-powered, zero-code data mesh kills restructuring, automates governance and hands data products to domain owners, saving both at once.
Cameron Price on what's next when access stops being the bottleneck — how data professionals shift from gatekeepers to strategic enablers, and how enterprises and SMEs cash in the freed-up time.
Cameron Price on Price-Performant Compute (PPC) — matching workloads to the right repositories, ending one-warehouse-fits-all spend, and using Latttice as a control plane to dispatch every task to the cheapest fit-for-purpose engine.
Cameron Price on why Bronze/Silver/Gold risks repeating 30 years of layered-data mistakes — and the four shifts (streamlined ETL, automation & AI, real-time processing, and a true data mesh) that turn the Medallion from pipeline sprawl into business outcomes.
A practical model for moving from data sets to trusted, reusable, business-owned data products without replatforming.
Data products built for humans are not automatically fit for AI. This guide explains the additional structure, signals and governance AI consumption requires.
Latttice industrializes trusted data products with active governance signals. Lenz brings those signals to the point of decision for humans and AI. Together they form the Data Tiles operating model.
