AWS Compliance DevOps Healthcare 
CIO
OCTOBER 13, 2022
As part of their partnership, IBM and Amazon Web Services (AWS) are pursuing a variety of industry-specific blueprints and solutions designed to help customers modernize apps for a hybrid IT environment, which includes AWS Cloud. AWS/IBM’s Industry Edge. Consider the critical area of security controls, for example.
Perficient
DECEMBER 13, 2023
Perficient is at the forefront of managing and developing applications for numerous clients in the Healthcare sector. Regulatory Compliance Obligations Healthcare must comply with various laws and regulations, for example, HIPPA, which makes it essential that the systems, vendors, and processes managing the sensitive data are also compliant.
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CIO
MARCH 8, 2023
The shift toward hybrid IT has clear upsides, enabling organizations to choose the right solution for each task and workload, depending on criteria such as performance, security, compliance, and cost, among other factors.
Datica
MARCH 11, 2019
Our goal in building the Datica Portfolio of products was to reduce the barriers of compliance in the cloud for makers of digital health products. We believe it should be as simple to deploy a healthcare application that handles and shares PHI in the cloud as it is a less-regulated consumer application. The TCO of Cloud Compliance.
CIO
AUGUST 5, 2022
The shift toward hybrid IT has clear upsides, enabling organizations to choose the right solution for each task and workload, depending on criteria such as performance, security, compliance, and cost, among other factors.
Lacework
JANUARY 17, 2024
Ami Dave Bansal Fanatics Ami Dave Bansal is renowned for her innovative cybersecurity approaches and unique expertise that spans from healthcare to sports betting. He excels in security, risk, compliance, and privacy, having established cybersecurity practices in four companies. Meet the 50 CISOs to Watch in 2024.
AWS Machine Learning - AI
DECEMBER 5, 2023
AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making. Enterprises need a responsible and safer way to send sensitive information to the models without needing to take on the often prohibitively high overheads of on-premises DevOps.
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