AI on AWS
If you’re on the cloud, chances are some of your infrastructure is hosted on Amazon Web Services (AWS). But did you know this can open up a whole world of AI capabilities as well? In today’s blog, we’re talking about AI on AWS and how working with an expert partner to tweak your setup can mean incredible gains for efficiency and productivity.
Benefits of AI for your business
Amazon sets out some very clear benefits of AI for businesses that would allow you to “improve customer experiences with interactive virtual assistants, conversational analytics and agent assistance. Boost employee productivity with conversational search, code generation and automated report generation. Enhance creativity and content creation for marketing, sales and product development. [And] accelerate process [optimisation] with document processing, data augmentation and supply chain [optimisation].” But you need someone to show you how to weave these tools into your stack in a way that adds efficiency without increasing your footprint. Otherwise, you can end up with a fragmented, slow or cluttered system. Take agentic AI & generative AI, for example:
Pioneering in agentic AI on AWS
Forget the railroading chatbots of the 2000s; today’s AI is smarter and can reason and respond. AWS is at the forefront of innovation in this space with tools like Amazon Quick Suite, Amazon Bedrock AgentCore, Strands Agents 1.0 and the ability to customise Nova understanding models in Amazon SageMaker AI for more intelligent interactions. Deploying agentic AI helped Thomson Reuters cut costs by 30%, speed up Formula 1 issue resolution by 86% and triple loan closure rates at Rocket Companies. You just need a partner like Wirebox to help you scope and deploy modern agentic AI tools to gain similar competitive advantages, since the tool has to be integrated with your current systems, like CMS and logistics, or it won’t have access to the information required to solve customer inquiries.
Leading on generative AI adoption
Amazon is also getting out ahead of generative AI. They state, “[Organisations] of all sizes and types are harnessing large language models (LLMs) and foundation models (FMs) to build generative AI applications that deliver new customer and employee experiences. With enterprise-grade security and privacy, access to industry-leading FMs and generative AI-powered applications, AWS makes it easy to build and scale generative AI [customised] for your data, your use cases and your customers.” It’s got merit with use cases across chatbots and virtual assistants, conversational analytics, employee assistance, code generation, personalisation, productivity and creativity within your business. Working with someone like Wirebox to identify the quick wins and help your team embrace AI on AWS is a great way to get ahead of competitors who are slower to adopt this technology.
Thinking about getting the benefits of AI? Have an ecosystem on the AWS platform? If so, get in touch today. We’ll show you what’s out there and help you understand how best to harness AI for your unique use case. Reach out to our team today for a more advanced infrastructure tomorrow.
