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Due diligence is ever more critical as the battle for cloud sovereignty intensifies

CIO

After Google’s cooperation with T-Systems and the “ Delos ” offer from Microsoft, SAP, and Arvato, AWS now follows suit. Across the globe, customers should not wait any longer for a magical one size fits all solution or ever trust that their due diligence of regulatory requirements can be delegated to any vendor. legislation.

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Due diligence is Ever More Critical as the Battle for Cloud Sovereignty Intensifies

CIO

After Google’s cooperation with T-Systems and the “ Delos ” offer from Microsoft, SAP, and Arvato, AWS now follows suit. Across the globe, customers should not wait any longer for a magical one size fits all solution or ever trust that their due diligence of regulatory requirements can be delegated to any vendor.

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

As data volumes continue to grow, the systems and architectures need to evolve. This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. On-premises systems were costly. Learn More.

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DB2 Mainframe Catastrophe Diverted with Open System Migration

Datavail

Database Failure = System and Business Failure. healthcare systems, the lack of and access to credible, reliable data impedes the ability of the almost 3,000 federal, state, and local health departments that struggle to make sense of the demands they face and find the resources they need to respond. at a cost it could afford.

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Digital Transformation in Healthcare

N2Growth Blog

” Digital Healthcare System Integrations Implementing digital solutions in healthcare is challenging due to the lack of integration between various software applications, databases, and devices used by various health providers. Case Study 1 One example is an organization disrupting the sector with a Patient Engagement Platform.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. With NLP, these AI-based systems can understand natural language, including idioms and colloquialisms, and respond appropriately. How and Where AI and ML Used in Application Modernization 1.

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12 months of detecting cloud-based threats 

Lacework

Due to the speed at which attackers move through a cloud environment, this analysis occurs at near real-time speed to enable early threat identification. June: User and entity behavior analytics (UEBA) UEBA involves analyzing user activity patterns to identify abnormal behaviors that could signify account compromise or insider threats.