CIO Business Intelligence

APRIL 12, 2024

Computer vision skills are important for helping AI systems with image classification, object detection and recognition, 3D reconstructions, biometric data collection, and motion tracking and analysis.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 68

Enterprise Data Lake Data Collection Data-driven 68

CIO Business Intelligence

MAY 17, 2022

This incident, which provides insight into what can go wrong for any enterprise that has deployed AI without adequate data governance , is just the latest in a series of high-profile companies that have seen their AI-related PR disasters all over the front pages. In 2015, Google’s Photos app labeled pictures of black people as “gorillas.”

Risk 145

Risk Consulting Machine Learning Data Science 145

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 59

Data Science Machine Learning Cost-Benefit Deep Learning 59

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In our case, every table, every slide that comes from a piece of data, has to pass the so what test. simplification and 2.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. One way to overcome this issue is to use media-mix modeling to run tests and measure incrementality in results and attribute it to the optimal channel. It will save you hours and hours of time, effort and focus.

Metrics 141

Metrics Reporting Analytics Marketing 141