AI-driven legacy service migration: a pragmatic, spec-driven approach to modernizing Ruby on Rails monoliths into Java with Spring Boot using LLMs to accelerate analysis, design, testing, and deployment while keeping humans in control of architecture and business logic.
When manufacturers talk about AI, the conversation usually starts with use cases and ends with integration complexity.When manufacturers talk about AI, the conversation usually starts with use cases and ends with integration complexity. In this interview, Adam Gąsiorek, CTO of TT PSC, and Ayush Tiwari from Velotic cut through the noise, sharing how a semiconductor manufacturer turned ignored process signals into a quality breakthrough, and why a manufacturing co-pilot can be built faster than most teams expect.
Industrial organizations are no longer asking whether AI belongs in asset-intensive operations; they are asking how to execute. How do we move from fragmented asset data and isolated pilots to repeatable enterprise-wide value? How do we ensure AI is trusted, adopted, and embedded into day-to-day decision-making? PTCs Orbit was built to answer those questions. As PTC’s latest […]
How AWS’s AI-Driven Development Lifecycle (AI-DLC) defines an AI-Native methodology for fully integrated AI capabilities
Industrial AI is moving beyond chatbots and dashboards toward systems that understand the physical world of factories. From spatial computing and reality capture to cloud HPC and wearable devices, Physical AI is redefining how industrial environments are designed, operated and optimized. This article explores why the next generation of industrial competitiveness will depend on combining AI with spatial and operational intelligence.
A typical plant runs controllers, SCADA, a historian and an MES from different vendors, and every connection is a custom integration. OPC UA replaces that patchwork with one secure, self-describing interface between OT and IT. This guide explains what OPC UA is, how it works, how its security model holds up to audit, and how Kepware implements it in production.
Building Future-Ready Organizations: How R&D, Partnerships and Advanced Technologies Drive Competitive Advantage
In the following article, you will learn the reasons behind such circumstances, and we will propose a solution that directly contributes to noticeable savings for companies in any vertical sector.
Advanced AI technologies and algorithms, big data integration and computational technologies will change the way drugs are designed, clinical trials are run, supply chains are optimized, and therapies are personalised.
Customer service, though often underestimated, is an important department of modern companies, responsible for maintaining and strengthening customer relationships. In recent years, a revolution in customer service is taking place due to the implementation of numerous AI solutions. The support of AI enables organizations to realize efficient, personalized, and responsive customer service, enabling them to […]
The automotive sector is undergoing a revolution driven by the rapid development of AI technology. AI, including the development of self driving vehicles, computer vision algorithms, natural language processing, and machine learning algorithms, is transforming transforming the automotive industry from car making process to how customers interact with them. In this article, you will learn […]
Real-time analytics can revolutionize decision-making providing immediate valuable insights to drive strategic actions. From optimizing timing for analytics to fostering seamless data sharing across organizational boundaries, uncover the key strategies for success in leveraging real-time insights. Don’t miss out on unlocking the potential of real-time analytics to streamline operations and gain a competitive advantage. Introduction […]