In the constantly changing automotive manufacturing industry, Tesla has again raised the bar with its innovative, unboxed manufacturing process. On March 1, 2023, Tesla introduced its “unboxed” manufacturing method at its Investor Day event. This innovative approach is designed to lower production costs, reduce factory sizes, and improve efficiency in vehicle manufacturing. Unlike traditional assembly … Read more
It’s easy to get swept up by the excitement surrounding emerging technologies like generative AI, especially when the buzz from media, industry reports, and high-profile success stories is everywhere. Companies are rushing to adopt tools and AI-driven solutions to gain a competitive edge and transform their operations. While these innovations are undeniably powerful and have … Read more
AI has evolved from a “want” to a “necessity” for staying competitive in today’s fast-paced business environment. This necessity is evident with AI spending (software, hardware, and services) expected to reach $200 billion in 2024. From automating routine tasks to providing deep data insights, AI is revolutionising business operations. However, as organisations start pouring significant … Read more
At its core, AI governance is not a single entity but rather a comprehensive framework designed to manage the ethical, legal, and technical aspects of AI systems. This includes ensuring AI is developed and utilized with a sense of responsibility—balancing innovation with societal values and regulatory requirements. This blog post delves into the key components … Read more
In the rapidly evolving landscape of artificial intelligence (AI), understanding the intricacies of various approaches is crucial for businesses aiming to leverage these technologies effectively. Today, we embark on a brief exploration of Generative AI, foundation models, and traditional AI, dissecting their applications, strengths, and when to deploy them in industrial settings. Traditional AI: Precision … Read more
Artificial intelligence (AI) has come a long way since its inception, evolving from rule-based systems to sophisticated machine learning and deep learning models. Today, AI, especially in computer vision, wouldn’t exist without the foundational work that started in the 1950s with rule-based computer vision. In this blog post, we’ll take you on a brief journey … Read more
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