Data & AI · Whitepaper
The data product model for enterprise agents
Agents expose weaknesses in ownership, semantics and access faster than traditional analytics because they act on context rather than only display it.
Data & AI · Whitepapers
Whitepapers for Data & AI
Structured editorial frameworks for planning technology programmes and aligning stakeholders. This focused collection applies the format to data & ai technology decisions.
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Data & AI · Whitepaper
Whitepaper: an operating model for modern data platforms
Decisions about modern data platforms improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: a cross-functional plan for vector databases
Decisions about vector databases improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: a leadership framework for privacy engineering
Decisions about privacy engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: a phased approach to lakehouse architecture
Decisions about lakehouse architecture improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: a practical governance framework for data governance
Decisions about data governance improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: aligning people, process and master data management
Decisions about master data management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: building a durable case for data quality management
Decisions about data quality management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: connecting semantic layers to business work
Decisions about semantic layers improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: designing business intelligence around accountable outcomes
Decisions about business intelligence improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: making model monitoring measurable and manageable
Decisions about model monitoring improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: moving analytics engineering from project to capability
Decisions about analytics engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: operating MLOps without unnecessary complexity
Decisions about MLOps improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: reducing implementation risk in generative AI adoption
Decisions about generative AI adoption improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: the decision rights behind AI governance
Decisions about AI governance improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Whitepaper
Whitepaper: the foundation required for data catalogues
Decisions about data catalogues improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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