Standards – always a step ahead
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Projects and standards
To find easily the necessary information, use the different options for advanced search below, e.g. search by technical committee; by keyword in Bulgarian/English; by reference and others.
Information technology — IT Enabled Services-Business Process Outsourcing (ITES-BPO) lifecycle processes — Part 2: Process assessment model (PAM)
40.60 Close of voting
Information technology — IT Enabled Services-Business Process Outsourcing (ITES-BPO) lifecycle processes — Part 3: Measurement framework (MF) and organization maturity model (OMM)
40.60 Close of voting
Information technology — IT Enabled Services-Business Process Outsourcing (ITES-BPO) lifecycle processes — Part 5: Guidance
40.60 Close of voting
Information technology — Database languages — GQL
40.99 Full report circulated: DIS approved for registration as FDIS
Information technology — Artificial intelligence — AI system impact assessment
40.00 DIS registered
Information technology — Artificial intelligence — Requirements for bodies providing audit and certification of artificial intelligence management systems
40.20 DIS ballot initiated
Information technology — Quantum computing — Terminology and vocabulary
40.60 Close of voting
Information technology — Learning, education and training — Access For All Metadata: Accessibility Core Terms (AfA-core-terms)
40.60 Close of voting
Information technology — User interfaces — Framework for evaluating the usability of a natural user interface
40.99 Full report circulated: DIS approved for registration as FDIS
Information technology — City data model — Part 2: City level concepts
40.60 Close of voting
Information Technology — Biometric performance estimation methodologies using statistical models
40.60 Close of voting
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
40.60 Close of voting
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
40.60 Close of voting
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
40.60 Close of voting
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
40.60 Close of voting
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework
40.00 DIS registered
Information technology — Automatic identification and data capture technology — AIDC application in industrial construction
40.60 Close of voting