For the last few years, AWS – Amazon Web Services – has been crucial for how large businesses manage their digital operations. Providing scalable cloud computing infrastructure, storage solutions, and a wide range of tools that allow companies to run their applications, it’s been a certified revolution in what is a rapidly growing technological landscape.
This is especially true considering the introduction of so many new technologies in recent years. With industries like iGaming now venturing into the world of virtual reality, and sectors like fintech exploring the possibilities of blockchain, AWS offers the flexibility and reliability needed to support new demands and ensure compliance is met at every corner. No company wants to be left behind, after all, and AWS has given businesses the power to avoid that.
It might have also offered the key to another technology – one that is affecting every industry, no matter the size of the sector.
Artificial Intelligence, of course, has been on everyone’s minds for the last few years, but its development and usage remain relatively sparse across the world. Many enterprises have found that building and deploying AI models in-house is simply not practical, but through AWS’s suite of AI and machine learning services, that might be about to change.
Does AWS Hold the Key for Enterprise’s AI Development and Usage?
With Europe’s largest cloud and AI data centre approved this year, AWS seems poised to play a pivotal role in unlocking AI’s potential in Europe and beyond. Let’s look at Amazon SageMaker as an example. This is undoubtedly AWS’s flagship machine learning platform, working to simplify the entire ML workflow by streamlining everything from data preparation to model deployment.
Offering an integrated environment where enterprises can build, train, and tune machine learning models efficiently, features like SageMaker Studio and AutoML have been instrumental in lowering the barriers for companies without extensive AI expertise to take advantage.
As well as this, Amazon Comprehend – a natural language processing service that uses ML to extract insights from text – Rekognition – a service that offers image and video analysis through deep learning models – and Lex – a virtual assistant to assist with customer service – have all been crucial in helping businesses integrate the new tech quickly and effectively.
Why is AI Important for Companies?
In terms of fastness and effectiveness, this is particularly important because no company wants to get left behind. According to a recent study, AI could shape around 86% of businesses by 2030, yet 54% are still struggling to use it. As a result of this, the companies that manage to successfully implement AI tech have a far better chance of gaining a competitive advantage – potentially outperforming their rivals, to the point where they go out of business entirely.
This doesn’t seem fair, especially considering that many of the businesses struggling to adopt AI aren’t doing so out of reluctance – they’re doing so because they have limited resources, a lack of technical expertise, and a general uncertainty around how to properly integrate it. Yes, there are companies out there that are refraining from even trying – the manufacturing industry, in particular, seems to be slow to realise just how integral AI might be for the future of construction – but they’ll soon learn that standing still in a fast-moving technological environment comes at a cost.
And this is where AWS can become so transformative. By offering a wide range of pre-built AI services and a scalable cloud infrastructure, AWS takes a lot of the complexity and cost out of the equation, allowing every business to take advantage, no matter their size, industry, or technical background.
Whether it’s a small e-commerce business wanting to improve customer recommendations, or a healthcare provider looking to analyse patient data more efficiently, AWS provides the necessary solutions that can be scaled up or down depending on the company’s needs, essentially democratising AI to make it accessible for all.
