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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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How Cloud Security Influences IoT Security

Xebia

So, let’s talk more about what are the issues that cloud systems that handle IoT devices face and what are the potential solutions to them. However, the same level of security improvements have not been done on the backend systems monitoring and maintaining these devices. . The cloud services behind the devices are not.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

The use cases can range from medical information extraction and clinical notes summarization to marketing content generation and medical-legal review automation (MLR process). In this post, we explore how LLMs can be used to design marketing content for disease awareness.

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Saviynt’s Journey to FedRAMP ATO

Saviynt

The early analysis and mapping exercise of NIST controls to our AS-IS platform and processes proved to be very effective in defining our boundary (see execution phase below) as well as mark the controls not in scope for us. Boundary refers to the scope of the system/platform which will be considered for FedRAMP evaluation.

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Consider This Defense Science Board Warning In Light of The OPM Hack

CTOvision

The Defense Science Board Report of January 2013 on the resilience of DoD systems to cyber attack. Read on for more about what the DSB reported as the threat to military systems. It is also available at: Resilient Military Systems and the Advanced Cyber Threat. Here are more details: .

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Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

Netflix Tech

Sample system diagram for an Alexa voice command. Where aws ends and the internet begins is an exercise left to the reader. The other main use case was RENO, the Rapid Event Notification System mentioned above. Dynomite had great performance, but it required manual scaling as the system grew.

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New live online training courses

O'Reilly Media - Ideas

Reinforcement Learning: Building Recommender Systems , August 16. Pythonic design patterns , June 27. Advanced Test-Driven Development (TDD) , June 27. Systems engineering and operations. How Routers Really Work: Network Operating Systems and Packet Switching , June 21. Blockchain. AWS Access Management , June 6.

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