CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Data Architecture, IT Leadership

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

IBM Big Data Hub

DECEMBER 16, 2022

A comprehensive AI governance strategy encompasses people, process and technology. This includes data collection, instrumenting processes and transparent reporting to make needed information available for stakeholders. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.

Uncertainty 116

Uncertainty Metadata Modeling Data Collection 116

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 102

Manufacturing Business Objectives Cost-Benefit Optimization 102

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 98

IT Manufacturing Business Objectives Cost-Benefit 98

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Jet Global

DECEMBER 10, 2020

To implement AI, you need four main resources: an algorithm, at least 15 years of data, massive amounts of data over that time period, and a way to test the algorithm and get feedback on its accuracy. It’s part of a mixed bag of tools that we use for data collection, tracking, reporting, and analysis.

Uncertainty 52

Uncertainty Technology Finance Business Intelligence 52

Cloudera

DECEMBER 21, 2020

As customers shift online, the data trails they leave behind, through email opens, click-throughs, preferred member programs, can help retailers provide personalized insights on a level like never before. As data becomes a high-value asset, we’re seeing an increasing number and scale of cyberattacks too.

Data-driven 88

Data-driven Data Strategy Strategy Cost-Benefit 88