Cprime

JANUARY 30, 2024

What is the significance of AI in healthcare data security? – AI is crucial in identifying and inventorying electronic PHI (ePHI), using deep learning to mimic trained humans’ abilities without cumbersome programming, and is necessary as traditional defenses are no longer sufficient against evolving cybersecurity threats.

Healthcare 52

Healthcare Innovation Artificial Intelligence Cybersecurity 52

Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Cprime

JANUARY 23, 2024

How does generative AI influence data management in enterprises? – Generative AI enables enterprises to process unstructured data, unlocking new business value and sparking advances across organizational functions. Functional risks like model drift and data poisoning require continuous monitoring and model retraining.

Healthcare 52

Healthcare Cybersecurity Government Data Security 52

Whizlabs

APRIL 19, 2021

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. He is a globally recognized thought leader in IoT, Cloud Data Security, Health Tech, Digital Health and many more.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145