How have AI initiatives impacted your data monetization strategy?

ArchitectureStrategy
235 viewscircle icon2 Comments
Sort by:
Partner / Principal in Services (non-Government)2 years ago

I would say it's a mixed bag. Some companies are relooking at their data monetization strategy through a new lens of AI products and services. Data companies are using AI to improve the way they deliver their offerings with differentiated insights. In manufacturing enterprises, it is impacting in two key areas: 
1. AI readiness of your data to drive business value creation
2. AI to improve your data maturity. 
Both play a critical role in accelerating your path to data commercialization. 

Chief Data Officer in Software2 years ago

Most companies, including mine, are not focused on monetization.  So for most, the answer here will be 'not at all'.  The last Gartner data I saw on monetization suggested that only around 10% of companies are actually doing any form of data monetization - which I suspect is a significantly inflated number.  

Content you might like

How are you feeling about the progress you made on data and analytics initiatives this year?

Exceeded expectations10%

Met expectations56%

Barely met expectations24%

Failed expectations6%

Not sure yet2%

View Results

How do you handle performance reviews for roles where impact is hard to measure quantitatively?

We are looking into Purview for Data Catalog, Data Map capabilities. There were multiple threads ~1 year ago with less positive feedback.  Has things changed since then? Has anyone implemented in recent months and how was your experience. We are looking at data sources such as ADLS, Synapse, Power BI and number of SaaS softwares.

Read More Comments

Do data professionals at your org have time to troubleshoot data operations?

Yes, on a regular basis23%

Yes, sometimes37%

No38%

Not sure

View Results

Which pitfalls—model bias, false positives/negatives, data quality, regulatory constraints—often impede AI-based security tools, and how can they be mitigated in a financial-services context?

Read More Comments