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Enabling privacy and choice for customers in data system design

Lacework

You may have heard the expression “data is the new oil” or remember the Economist 1 cover stating, “The world’s most valuable resource is no longer oil, but data.” While these may be true in the general macro sense, for many organizations, their data is more akin to their lifeblood.

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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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Announcing Prisma Cloud AI-SPM: Protect Your Complete AI Stack

Prisma Clud

AI security posture management (AI-SPM) is a new set of capabilities that addresses those challenges — model risk, data exposure and potential misuse within AI environments, for example. AI-SPM tools provide visibility into the AI model lifecycle, from data ingestion and training to deployment.

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How Cloud Security Influences IoT Security

Xebia

These cloud services are used to control the devices and collect all data, so securing this is very valuable. 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. The default security of our IoT devices are improving. A typical IoT device network.

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In AI we Trust? Why we Need to Talk about Ethics and Governance (part 1 of 2)

Cloudera

As the systems we develop become increasingly sophisticated, and in some cases autonomous, we remain ethically responsible for those systems. This includes systems based on AI and ML. Ethical AI is a multi-disciplinary effort to design and build AI systems that are fair and improve our lives.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. ML practitioners can perform all ML development steps—from preparing your data to building, training, and deploying ML models.

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Boosting Node.js Performance and Efficiency with Redis

Perficient

Redis in a Nutshell Redis, short for Remote Dictionary Server, is an open-source, in-memory data structure store. By keeping data in memory, Redis allows lightning-quick read and write operations, making it ideal for scenarios where speed is crucial. In this article, we’ll look at how to use Redis with Node.js