CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. Still, some IT leaders remain comfortable running all workloads on the public cloud, even with the data privacy concerns generative AI imposes.

IT 140

IT Data Processing Enterprise Modeling 140

O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. Applying data integrity constraints on live, incoming data streams could have the same benefits.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Smarten

JANUARY 24, 2019

Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MARCH 19, 2019

Although Data Democratization and Data Literacy are topics of earnest discussion, the average enterprise may feel that the expense and time required will not provide enough impact to the bottom line. Nothing could be further from the truth!

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40