Edge Computing plays a pivotal role in revolutionizing the marine business, particularly in the domain of energy optimization. By bringing computing resources closer to the data source, edge computing enables real-time data processing and analysis onboard ships and marine installations. This paradigm shift allows for more efficient energy management and optimization, leading to significant cost reductions and a reduced environmental impact.

Whether you're an AI developer, an industrial solutions provider, or a forward-thinking company seeking to optimize operations, the Barbara Marketplace connects you to a world of possibilities. Take your business to the next level by joining the Barbara Marketplace, a hub for cutting-edge solutions designed to transform industries with Edge AI.

Deploying computer vision models in production is a complex endeavour that requires a holistic approach that encompasses data, models, infrastructure, and processes. By addressing the challenges of data acquisition, model selection, infrastructure, CI/CD, monitoring, and ethical considerations, organizations can successfully deploy computer vision models at scale. Thibaut Lucas, CEO and Co-founder at Picsellia shares his view on both, the business and technical aspects surrounding the challenges of deploying Computer Vision at scale.

As thousands of millions of assets are connected to the Internet the industrial world faces new challenges when it comes to connectivity and cybersecurity for real-time automation and decision making . In this talk we address the key role of an Edge Platform as a solution to overcome the Data Gravity issue of the Cloud.

TinyML has proven to be a powerful tool for implementing machine learning models in devices and environments with limited resources. In this article, we explore its potential in the refinery and chemical sector.

By 2025, a staggering 75% of enterprise data will be created at the edge. Moreover, by 2027, deep learning will be in over 65% of edge use cases. As the volume of data continues to increase, computing is shifting towards the edge. This presents a unique opportunity for AI /ML Teams to learn and adopt best practices in implementing Machine Learning in the Edge. Learn more and replay our webinar on The Cutting Edge of MLOps.

The use of AI in Edge Computing opens up exciting opportunities across industries, offering benefits like real-time decision-making, low latency inferencing, and enhanced data security. However, quantifying these benefits and demonstrating tangible returns on investment remains a challenge for many companies.‍

This release, version 2.4.0, of the Barbara platform introduces significant enhancements that will expedite your proof of concepts and production deployments. Additionally, we have revamped various views and cards to improve the platform's usability, making interactions smoother and faster.

Companies are increasingly interested in virtualizing electrical equipment because it offers a range of benefits for their operations. Virtualization reduces the need for physical infrastructure, which can result in cost savings, reduced maintenance requirements, and increased safety. We will be at CIRED 2023, showcasing how to virtualize substations from Transmission to Middle and Low Voltage networks through Edge Computing Technology.