article thumbnail

The state of data quality in 2020

O'Reilly on Data

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. They don’t have the resources they need to clean up data quality problems.

article thumbnail

It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

This challenge has been recognised by the Australian Federal Government, with Industry and Science Minister Ed Husic announcing in September the creation of a set of voluntary AI guidelines, with consultation on whether these should be mandated in high-risk areas.

Risk 111
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Powerbimap – Announcement and call to register for vendors and consultancies

BI-Survey

The ecosystem around Microsoft Power BI is growing fast – consultancies and software vendors are adopting the platform to offer added value in visuals, apps, connectors and data management tools. The website will consist of three innovative browser objects: Solutions, Consultants and Success Stories. What will the website offer?

article thumbnail

Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data fabric Metadata-rich integration layer across distributed systems. Implementation complexity, relies on robust metadata management.

article thumbnail

7 enterprise data strategy trends

CIO Business Intelligence

Real-time data gets real — as does the complexity of dealing with it CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

article thumbnail

Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

article thumbnail

Proposals for model vulnerability and security

O'Reilly on Data

And at many companies, many different employees, consultants, and contractors have just that—and with little oversight. Residual analysis: Look for strange, prominent patterns in the residuals of your model predictions, especially for employees, consultants, or contractors.

Modeling 275