article thumbnail

The Future of AI in the Enterprise

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

article thumbnail

The Future of AI in the Enterprise

Jet Global

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Insiders

Sign Up for our Newsletter

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

article thumbnail

MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

With these five layers, we can present a highly productive, data-centric software interface that enables iterative development of large-scale data-intensive applications. However, none of these layers help with modeling and optimization. The iteration cycles should be measured in hours or days, not in months.

IT 351
article thumbnail

Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

They don't have an ability to analyze the data, should anything pique their interest, and neither will they ever want access to the contextual data to do a… oh, wait, why did x happen , or I wonder if z is the reason Average Order Value is $356. Hence your CXOs should definitely not get a data puke like the one above.