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anodot

Azure Machine Learning Pricing - 2024 Guide to ML Costs

Sep 23, 2024 By Perry Tapiero In Anodot
Undoubtedly, AI is our future—which means it’s past time to integrate machine learning models into your FinOps multi-cloud tech stack. AI turns simple tasks into something that can be executed at the click of a button. With well-trained models, FinOps, MSPs, and Enterprises can automate cost detection, forecasting, and anomaly identification, streamlining complex financial operations without increasing their workforce. The good news?
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jfrog

How to Deploy Machine Learning Models into Production

Sep 23, 2024 By Pavel Klushin In JFrog
Machine learning (ML) models are almost always developed in an offline setting, but they must be deployed into a production environment in order to learn from live data and deliver value. A common complaint among ML teams, however, is that deploying ML models in production is a complicated process. It is such a widespread issue that some experts estimate that as many as 90 percent of ML models never make it into production in the first place.
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flowmon

Machine Learning and AI Explained

Sep 6, 2024 By Filip Cerny In Flowmon
There is no escaping the discussion about how machine learning (ML) and AI systems will revolutionize how people and industries work. Most of this discussion needs to be revised, as companies are still evaluating how AI systems (typically Large Language Model (LLM) systems like OpenAI ChatGPT, Google Gemini, Anthropic Claude and others) enhance worker productivity and deliver business benefits. Cybersecurity is one sector where extensive use of AI-enhanced solutions is common.
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ScienceLogic

How Machine Learning and AI are Transforming Telecom's Future

Sep 4, 2024 By ScienceLogic In ScienceLogic
The telecommunications industry is no stranger to rapid technological advancements, but the integration of machine learning (ML) and generative AI is taking it to new heights. AI and ML are not just about technological transformation; they’re also revolutionizing people, processes, and the entire telco landscape. For tech enthusiasts and business leaders, understanding how these AI-driven innovations are shaping the future is crucial.
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opsmatters

The Future is Now: How AI is Revolutionizing App Development

Aug 19, 2024 By OpsMatters In OpsMatters
Apps are become a necessary component of our everyday existence. We use them for everything from communication to entertainment, shopping, banking, health and fitness tracking, and more. As consumer demand grows for more intelligent and personalized apps, developers are turning to artificial intelligence (AI) to build the apps of the future. Here, we explore the current and future impact AI will have on app development.
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NinjaOne

The Role of Machine Learning in Cybersecurity

Aug 9, 2024 By Lauren Ballejos In NinjaOne
Machine learning (ML) in cybersecurity dates back to the early 2000s and has become a key tool today in fighting cyber threats. According to Cybersecurity Ventures, global spending on cybersecurity products and services is expected to exceed $1.75 trillion cumulatively from 2021 to 2025, highlighting the increasing reliance on advanced technologies to combat cyber threats.
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opsmatters

How Technology Advances Indoor Location Tracking Capabilities

Jul 21, 2024 By OpsMatters In OpsMatters
The rapid evolution of technology has transformed numerous aspects of our lives, and indoor location tracking is no exception. Once limited to rudimentary applications, this innovative field has blossomed into a sophisticated system integral to various industries. From retail to healthcare, the advances in indoor location tracking have revolutionized how businesses operate and enhance user experiences. This article explores the latest technological developments in indoor location tracking, highlighting the role of Bluetooth beacons, Wi-Fi positioning, and Ultra-Wideband (UWB) technology.
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jfrog

Expanding Artifactory's Hugging Face Support with Datasets

Jul 16, 2024 By Sean Pratt In JFrog
When working with ML models, it’s fair to say that a model is only as good as the data it was trained on. Training and testing models on quality datasets of an appropriate size is essential for model performance. Because of the intricate link between a model and the data it was trained on, it’s also important to be able to store datasets and versioned models together.
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opsmatters

How Smart Facilities Are Enhancing Operational Efficiency in Defence Organisations

Jul 4, 2024 By OpsMatters In OpsMatters
Whether a defence force is involved in disaster relief, domestic security, or active combat, efficiency is necessary to offset risk and guarantee success in the field. In recent decades, defence organisations have been following the lead of digitally transformed civilian agencies and businesses in managing their resources, leading to remarkable efficiency gains.
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