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Boosting Network Trust: Unveil AI TRiSM with Network Copilot™

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  Introduction to AI-TRiSM (Trust, Risk & Security Management) As AI reshapes the world, its transformative power drives revolutionary innovations across every sector. The benefits are immense, offering businesses a competitive edge and optimizing operations. However, to harness this potential responsibly, we must prioritize ethical and trustworthy AI development and usage. This is where the concept of  AI-TRiSM , a framework conceptualized by Gartner, emerges as a cornerstone for responsible AI development. It emphasizes three crucial concepts:  Trust, Risk, and Security Management (TRiSM)  in AI systems. By focusing on these key principles, AI TRiSM aims to build user confidence and ensure ethical and responsible use of technology that impacts everyone. The Framework of AI TRISM AI TRISM By embracing AI TRISM, organizations can navigate the exciting world of AI with confidence, maximizing its benefits while ensuring responsible and ethical use. 1. AI Trust: ...
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ONE Data Lake & Splunk: Revolutionizing Network Data Analytics — Part 1

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  ONE Data Lake In February, we introduced the ONE Data Lake as part of our ONES 2.1 release, highlighting its integration capabilities with Splunk and AWS. In this blog post, we’ll delve into how the Data Lake integrates specifically with Splunk. A data lake serves as a centralized storage facility capable of accommodating large quantities of structured, semi-structured, and unstructured data on a significant scale. These are typically built using scalable distributed cloud-based storage systems, such as Amazon S3, Azure Data Lake Storage, or Google Cloud Storage. A pivotal benefit of a data lake lies in its capacity to handle substantial amounts of data from diverse origins, offering a cohesive storage solution conducive to data exploration, analytics, and informed decision-making processes. Aviz ONE-Data Lake functions as a platform facilitating the migration of on-premises network data to cloud storage. It encompasses metrics that capture operational data across the network’s c...
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From Hype to Reality: Navigating the Challenges of AI in Network Telemetry

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  AI is riding the crest of a technological wave, crowned the “Peak of Inflated Expectations” by Gartner’s 2023 Hype Cycle. Platforms like ChatGPT have become more than just buzzwords; they’re blazing a trail into a new era of technological possibilities. This isn’t a fleeting fad; it’s a fuel injection for innovation, poised to transform the landscape across industries including the Networking domain. Think beyond chatbots and clever tweets. AI’s true potential lies in its ability to learn, adapt, and create. It can craft personalized experiences, generate realistic synthetic data, and even write code, all while pushing the boundaries of what we thought possible. This isn’t just about hype; it’s about harnessing the power of creativity to revolutionize the way we live, work, and play. So buckle up, because the AI revolution is just getting started. And this blog, let me give some insights into how AI can transform Network telemetry and enhance the experience. Gartner Hype Cycle — ...
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