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Machine Learning

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.

Machine Learning Inference Model at Scale with Graviton

Sharpen your machine learning knowledge with our upcoming virtual event, "Machine Learning Model Inference at Scale with Graviton." In collaboration between 2bcloud and Amazon Web Services (AWS), this event will provide you with a comprehensive, step-by-step tutorial on setting up a high-performance and cost-optimized machine learning inference environment, using Graviton processors.

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.

Running ML/LLM models on Kubernetes Across Major Cloud Providers with Abhishek Choudhary

Abhishek, co-founder and CTO of @truefoundry, explores the complexities of building a machine learning platform on Kubernetes. Discover solutions to challenges like handling diverse hardware, managing large Docker images, and optimizing costs. Learn how True Foundry uses tools like Argo CD, Keda, and Istio to create efficient abstractions for data scientists and streamline ML operations.

JFrog & Qwak: Accelerating Models Into Production - The DevOps Way

We are collectively thrilled to share some exciting news: Qwak will be joining the JFrog family! Nearly four years ago, Qwak was founded with the vision to empower Machine Learning (ML) engineers to drive real impact with their ML-based products and achieve meaningful business results. Our mission has always been to accelerate, scale, and secure the delivery of ML applications.
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How AI and ML Are Revolutionizing Incident Management in IT Ops

In today’s digital landscape, IT operations face unique challenges and pressures unlike those of the past. Currently, the cost of a service failure for medium and large enterprises is estimated to exceed $100,000 per hour. At present high incident management costs, coupled with the impact on customer satisfaction, present significant challenges for enterprises. To resolve this challenge AI and ML assists in enhancing the overall management of incidents and reducing response times.