AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

Artificial Inteligence 117

Artificial Inteligence Generative AI Security Applications 117

Cloudera

MARCH 22, 2022

That technical debt includes silo-ed data warehousing appliances, homegrown tools for data processing, or point solutions used for dedicated workloads such as machine learning. data engineering, data warehousing etc.); data warehousing) or are based on a single processing framework (e.g.,

Technical Review 80

Technical Review Strategy Data Analytics 80

O'Reilly Media - Ideas

APRIL 13, 2023

Upgrading the current status quo usage of bearer tokens to include signatures from client device keys enables more than security, it also opens the path to enterprise cost savings and radically new business models. Applications that use verifiable data can benefit from improved security, lower computing costs, and better performance.

Technical Review 138

Technical Review Authentication Storage Serverless 138

Datica

JUNE 17, 2019

While the benefits are clear, obstacles such as ensuring the security of personal health information (PHI) and integration challenges mean it’s not possible to simply share data freely across the industry. It’s essential for healthcare organizations to embrace an easy-to-use security solution that works for everyone.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40