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BIG DATA MANAGEMENT
ADP | March 25, 2021
ADP, an industry leader in data technology, was named a winner in the 2021 Data Breakthrough Awards for its innovative workforce analytics solution. The solution was named the Data Analytics Innovation of the Year by the independent market intelligence organization for its ability to harness data to address some of the most challenging problems businesses face today.
The Data Breakthrough Awards objective is to honor data technology innovators, pioneers, and visionaries from aroun...
healthrecoverysolutions.com | March 11, 2020
There are innumerable ways in which machine learning and big data are starting to impact the healthcare industry. Artificial Intelligence (AI) can ease clinician workload by helping aid decision-making. This can include predicting which patients are most at-risk of a readmission, detecting anomalies like tumors in imaging data, and/or predicting heart conditions from smart watch data.Machine learning algorithms are any algorithms that are not explicitly programmed and instead use a large trainin...
ericsson.com | March 04, 2020
Ericsson has been selected by Japanese communications service provider NTT DOCOMO as its AI-based optimization solution vendor for its nationwide radio access network (RAN).The companies have been collaborating on introducing new solutions for decades, recently focusing on 5G proof of concept activities. The AI-based Performance Diagnostic solution for RAN optimization is one such effort and result of this collaboration. Leveraging on Ericsson’s global knowledge and experience, and collabo...
enterpriseai.news | February 27, 2020
Deep learning accelerators based on chip architectures coupled with high-bandwidth memory are emerging to enable near real-time processing of machine learning algorithms. Memory chip specialist Micron Technology argues that hardware accelerators linked to higher memory densities are the best way to accelerate memory bound AI applications. Micron’s deep learning accelerator also has machine learning applications for other edge deployments where memory bandwidth used for local data processin...
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