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Feature market insights and perspectives from top C-Level executives, elite technology influencers and thought leaders from your company here. This signature initiative has garnered immense support...
BIG DATA MANAGEMENT
Infoworks | November 06, 2020
Infoworks.io, the pioneer in Enterprise Data Operations and Orchestration (EDO2) frameworks, today declared accessibility of Infoworks DataFoundry for Databricks in AWS Marketplace, an advanced index with a huge number of programming postings from autonomous programming sellers that make it simple to discover, test, purchase, and convey programming that sudden spikes in demand for Amazon Web Services (AWS). Infoworks DataFoundry for Databricks runs locally on AWS and is accessible as a free prel...
dqindia.com | April 01, 2020
Data analytics is helping analyze volumes of data selected from multiple sources, which includes the data collected for various phases of the Coronavirus, the disease, and its spread. Big data analytics is facilitating the detection of the virus through computerized scans and contact tracing. This is proving to be helpful in containing the transmission of the virus.Techniques such as structural, mathematical and statistical techniques as well as path and graph analysis are helping identify super...
Caris Life Sciences | October 13, 2020
Caris Life Sciences®, a leading innovator in molecular science focused on fulfilling the promise of precision medicine, announced today the launch of CODEai™ (Comprehensive Oncology Data Explorer), using an advanced Artificial Intelligence (AI) backbone. CODEai is a real-world clinico-genomic data platform that integrates Caris' extensive catalog of molecular data with cancer treatment information and clinical outcomes data for over 215,000 patients covering over 1,000,000 data poi...
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...
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