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Machine Learning

Machine Learning and AI Explained

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.

How Machine Learning and AI are Transforming Telecom's Future

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.

Optimise your ML workloads on Kubernetes

Kubernetes has proven to be a vital tool for developing and running ML models. It enhances experimentation, workflow management, and ensures high availability while handling the resource-intensive nature of AI workloads. With optimizations, Kubernetes can further improve resource utilization, making AI/ML projects more efficient.

The Future is Now: How AI is Revolutionizing App Development

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.

The Role of Machine Learning in Cybersecurity

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.

How Technology Advances Indoor Location Tracking Capabilities

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.

Expanding Artifactory's Hugging Face Support with Datasets

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.

Beyond the Horizon: Navigating the Future of AI and ML Innovation Panel

In this panel Navigate Local discussion, industry experts Josh Mesout, James Gress, Brandon Dey, and Cate Gutowski explore the future of AI and machine learning. They discuss the shift from augmentation to automation in software development, the impact of open-source vs. proprietary models, and AI's role in democratizing access to technology. The panel also addresses concerns about AI's influence on human cognition and the importance of human oversight.

How Smart Facilities Are Enhancing Operational Efficiency in Defence Organisations

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.