Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 141

Big Data Internet of Things Data-driven IoT 141

O'Reilly on Data

MARCH 18, 2020

Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI. Supervised learning is dominant, deep learning continues to rise. This is consistent with the results of our data quality survey.

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

bridgei2i

MARCH 9, 2021

The use of AI for technology industry solutions in 2021 is similar to using the internet for commercial or economic purposes in the early 90s. Machine Learning: Since intelligence without learning isn’t intelligence, this subset of AI focuses on parsing data and modifying itself without human effort.

Technology 52

Technology Deep Learning Data-driven Optimization 52

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

MARCH 30, 2022

The company next plans to explore new technologies, such as deep learning, Baumhof says. So, in addition to incorporating new data into your decision intelligence strategy, rethinking the underlying algorithms can also help increase the quality of your results. Augment complex processes — especially for data collection.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144