Tag Archives: IoT

Federated Learning: Machine Learning with Privacy on the Edge

Categories: IoT / Connected Products Machine Learning

Federated Learning is a technology that allows you to build machine learning systems when your datacenter can’t get direct access to model training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs. Privacy and reduced communication make federated learning a great fit for smartphones and edge hardware,…

Read More

Cloudera spotlights partner success at Strata Data with Partner Impact Awards

Categories: Partners

At Strata Data, it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. Cloudera aimed to demystify the “how” in the AI and big data equation at Strata Data through helpful sessions, anticipated keynotes, and new product announcements to alleviate the mystery…

Read More

Building an Open Data Processing Pipeline for IoT

Categories: Enterprise Data Hub IoT / Connected Products

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application…

Read More

An End-to-End Open & Modular Architecture for IoT

Categories: IoT / Connected Products

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. First of all, in order to effectively pull together an end-to-end architecture for IoT, organizations must manage multiple vendor solutions, validate that they work together, integrate them to…

Read More