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As the world grapples with daunting challenges like climate change, the role of engineers has never been more crucial. While this presents exciting opportunities for you, there’s still a complex array of challenges ahead. So, how can you navigate this dynamic landscape and build a fulfilling career? We offer essential guidance below. Focus on learning The field is constantly evolving, with new technologies and methodologies emerging at a breakneck pace. You must cultivate a mindset of lifelong learning if you want to stay relevant. This means not only keeping abreast of the latest developments in your specific discipline but also…
This post is co-written with Dean Steel and Simon Gatie from Aviva. With a presence in 16 countries and serving over 33 million customers, Aviva is a leading insurance company headquartered in London, UK. With a history dating back to 1696, Aviva is one of the oldest and most established financial services organizations in the world. Aviva’s mission is to help people protect what matters most to them—be it their health, home, family, or financial future. To achieve this effectively, Aviva harnesses the power of machine learning (ML) across more than 70 use cases. Previously, ML models at Aviva were…
In the generative AI era, agents that simulate human actions and behaviors are emerging as a powerful tool for enterprises to create production-ready applications. Agents can interact with users, perform tasks, and exhibit decision-making abilities, mimicking humanlike intelligence. By combining agents with foundation models (FMs) from the Amazon Titan in Amazon Bedrock family, customers can develop multimodal, complex applications that enable the agent to understand and generate natural language or images. For example, in the fashion retail industry, an assistant powered by agents and multimodal models can provide customers with a personalized and immersive experience. The assistant can engage in…
The German philosopher Fredrich Nietzsche once said that “invisible threads are the strongest ties.” One could think of “invisible threads” as tying together related objects, like the homes on a delivery driver’s route, or more nebulous entities, such as transactions in a financial network or users in a social network.Computer scientist Julian Shun studies these types of multifaceted but often invisible connections using graphs, where objects are represented as points, or vertices, and relationships between them are modeled by line segments, or edges.Shun, a newly tenured associate professor in the Department of Electrical Engineering and Computer Science, designs graph algorithms…