article thumbnail

Protecting your digital transformation from value erosion

CIO Business Intelligence

Digital transformation programs promise a wealth of advantages, but unforeseen challenges can cancel out measurable value. Missing necessary subject matter expertise or protections for key resources can significantly impact the output value of your workshops and design quality, and lead to over customization of your system.

article thumbnail

9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Matt Lerner in conjunction with Business of Software delivers online workshops that help you determine your “North Star Metric” and the set of key drivers that are bottlenecks to achieving that overall success.

Metrics 132
Insiders

Sign Up for our Newsletter

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

article thumbnail

Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

From the second example above, Neural Network modeling, there are also many different preliminary tasks and parameterizations of the network that need to be decided and acted on before the cold start iterations on the edge weights can begin: How will we measure the supervised learning model’s accuracy?

article thumbnail

Swiss Federal Railways CIO relies more on AI than concrete

CIO Business Intelligence

The third part of the program, asset management, is intended to reduce material wear and tear, and make better use of the workshops. They are filmed with the help of a measuring vehicle that drives over them at 120 km/h and their condition is evaluated. “If In this example, its use accounted for less than €300,000.

article thumbnail

Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos. Integrating data from third-party sources.

article thumbnail

Why you should care about debugging machine learning models

O'Reilly on Data

Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. 8] , [12] Again, traditional model assessment measures don’t tell us much about whether a model is secure. Currency amounts reported in Taiwan dollars. Residual analysis.

article thumbnail

Amazon OpenSearch Serverless expands support for larger workloads and collections

AWS Big Data

The compute capacity in OpenSearch Serverless used for data ingestion and search and query is measured in OpenSearch Compute Units (OCUs). Ingesting the data You can use the load generation scripts shared in the following workshop or you can use your own application or data generator to create load.