Week 5 - Marinka Voorhout Flashcards
Good data provides answers to the questions from clients (4) (just some examples). With good data we can…
- see which data is used for management information
- build new products with data
- see who keeps “personal data” to keep clients data safe
- get insights in how to make data reduction - which data can be deleted
AI Management consists of(4)(AI is used as a collective term for…)
- DS - data mining
- AI - simulates human thinking (simple and complex)
- ML analyzes vast amounts of data searching for patterns. ML improves its decisions based on experience
- DL is based on deep neural networks similar to the human brain. It works with multi-layer models
With Good AI we can … (4)
- be sure that the analysis is unbiased and ethical
- build products based on AI, that AI must be in accordance with sales contracts
- have repeatable to AI to integrate it in management information
- know which data is used for AI
Relevant development in data & AI management (4)
- rise of data strategies > value out. of new data & AI products
- regulations are catching up
- platforms sharing and integrating data with third parties
- AI replaces software, because it is to slow to process large data sets
Companies should be proven in control of data integrations (6)
- know the real source of data > source contains unaltered quality & definitions
- know who is accountable for data quality > only the owner can improve bad data quality
- know how to use the data > to avoid comaring apples & pears
- know if the data is changed at every handover > if data is changed unknowingly, you odn’t know what you’re looking at
- know if the supplied data fits into your. system > to enable technical integration
- know if a bias & ethical procedure is followed > create trusted AI
Chief Data Officer
Overall accountable for data & analytics
Data Owner
Accountable for the control of data quality, data classification and consent for usage within a department and/or system
Data Steward
Responsible to maintain good data quality within a department and/or system. Reports on data quality - status & trend analysis.
D&A capabilities manager
Leads a team consisting of e.g. data engineers, data governance coordinators, data architects and data analysis.
Report Owner
Responsible for the design and validation of reports, including which data is used, which analysis is performed and what the report template looks like
Data Engineer
build and control ETL/APIs to process data from a variety of databases/ data formats realizes data controls as input for the way-bill
BI/AI specialist
Responsible for correct data usage request. Responsible for following ethical guidelines. Responsible for correct model validation