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Cybersecurity Snapshot: Cyber Agencies Offer Secure AI Tips, while Stanford Issues In-Depth AI Trends Analysis, Including of AI Security

Tenable

1 - Multinational cyber agencies issue best practices for secure AI deployment Looking for best practices on how to securely deploy artificial intelligence (AI) systems? Deploying AI systems securely requires careful setup and configuration that depends on the complexity of the AI system, the resources required (e.g.,

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Flexagon 2023: The Roadmap

Flexagon

Before we look ahead, let us appreciate how much we have evolved in delivering on our founders’ vision to simplify the complexity of deploying changes to Enterprise Software Platform Technologies. in September 2022 , we delivered tremendous innovations and improvements to our DevOps platform that were market and customer driven.

UI/UX 78
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4 Megatrends in Big Data in 2019 and Beyond

Agile Engine

This article covers 5 trends that will shape the data technology in the next few years. Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Microsoft Azure. Azure Blob Storage. Microsoft Azure HDInsight. Azure Stream Analytics. Google BigQuery.

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Azure container Apps: The future of Microservices in Azure?

Xebia

Over the years, containerized workloads have become more and more popular, and we see most mature software companies benefit using containers from the cloud to the edge. The DevOps movement is still growing and growing; the mantra “You build it, you run it” really works for building better software.

Azure 130
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Data Gravity in Cloud Networks: Distributed Gravity and Network Observability

Kentik

Tenets of network observability A detailed explanation of network observability itself is out of the scope of this article, but I want to focus on its core tenets before exploring a couple of brief case studies. The more distributed an enterprise’s data, the more heterogeneous its sources. Ask any questions about their network.

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The Good and the Bad of Apache Airflow Pipeline Orchestration

Altexsoft

This article covers Airflow’s pros and gives a clue why, despite all its virtues, it’s not a silver bullet. This article covers Airflow’s pros and gives a clue why, despite all its virtues, it’s not a silver bullet. What is Apache Airflow used for? Airflow is especially useful for orchestrating Big Data workflows.

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Comparing Serverless Architecture Providers: AWS, Azure, Google, IBM, and other FaaS vendors

Altexsoft

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. It entailed renting servers and moving the infrastructure to clouds, but teams still had to deal with server setup. Where does serverless come from?