Industry at the Edge posts

Edge Computing emerges as a transformative technology in the oil and gas industry, driving efficiency and innovation in digital transformation efforts. By harnessing the power of edge computing, organizations can optimize operations, enhance safety protocols, and extract greater value from their resources.

Deploying machine learning models in various locations is becoming increasingly important for businesses. Whether you're a tech company looking to scale your AI infrastructure or a data scientist deploying models for different clients, understanding the nuances of deploying models in multiple locations is essential. This comprehensive guide will explore the strategies, challenges, and best practices in deploying models across diverse environments.

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.

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.

In today's fast-paced and competitive landscape, optimizing operations is crucial for success. With the advent of cutting-edge technologies like Edge Computer Vision, businesses can gain a significant advantage by leveraging real-time data analysis and decision-making. In this article, we will explore what industries need to know about optimizing operations with Edge Computer Vision and how this transformative technology can propel their growth.