Data & AI · Buyer guide
How to evaluate an AI observability platform
AI observability tools should help teams trace prompts, retrieval, tool calls, cost, quality and policy without creating a second opaque system.
Data & AI · Buyer Guides
Buyer Guides for Data & AI
Requirements, demo tests and trade-offs for software evaluation and shortlisting. This focused collection applies the format to data & ai technology decisions.
Editorially prioritisedSource-awareBuilt for decisions
Browse by horizontal
Browse by format
Data & AI · Buyer guide
Modern data platforms buyer guide: requirements, demos and trade-offs
Decisions about modern data platforms improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
A practical selection process 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 · Buyer guide
Analytics engineering RFP guide: what deserves weight
Decisions about analytics engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
Data catalogues shortlist guide for cross-functional teams
Decisions about data catalogues improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
Data governance evaluation guide for Data & AI teams
Decisions about data governance improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
Data quality management buying guide: integration, ownership and cost
Decisions about data quality management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
Generative AI adoption vendor scorecard: evidence beyond the demo
Decisions about generative AI adoption improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
How to compare lakehouse architecture platforms on operating effort
Decisions about lakehouse architecture improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
How to run a useful proof of concept for 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 · Buyer guide
How to shortlist master data management software without a feature contest
Decisions about master data management improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
MLOps procurement guide: decisions before pricing
Decisions about MLOps improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
Privacy engineering renewal guide: reassess value before extending
Decisions about privacy engineering improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
The buying questions that expose real business intelligence fit
Decisions about business intelligence improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
The reference checks that matter for semantic layers
Decisions about semantic layers improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Data & AI · Buyer guide
What to test before signing a model monitoring contract
Decisions about model monitoring improve when data & ai leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Resource request
Request a buyer guide for Data & AI.
Complete the form and we will send a relevant resource to your email.
Editorially reviewedRelevant to your functionEmail follow-up