Leveraging AWS AI Capabilities

Though it is early, AI has the potential to disrupt industries. Finding the ways you can harness the current state-of-art and, even more importantly, gathering the understanding to foresee possible major disruptions in your business model is vital.

Almost all artificial intelligence systems (AI) today are created using machine learning (ML). ML uses large amounts of data to create and validate decision logic which, in turn, forms the basis of the AI “model”. 

ChatGPT has made generative AI popular and shown the underlying potential to the public. Generative AI is based on large models that are pre trained on big sets of data (the bigger the better). These models are called foundation models (FM) and at this point in time, it is quite unrealistic for most companies to create their own FMs. But luckily, AWS provides services that enable companies to leverage FMs, even though they don’t have the resources and capabilities to create those themselves. 

Image: AWS

AWS provides a set of services that enable any company to take advantage of AI and machine learning in their business. For example:

• Amazon Bedrock (which provides a way for you to build and scale generative AI-based applications using FMs) and,

• Amazon CodeWhisperer (an AI coding companion that generates code suggestions in real-time based on your comments in natural language and any prior code in your integrated development environment).

It is always helpful to start from defining the business problem to find the correct resource to leverage. As always, experimentation and iteration is the recommended route to success as an organization must validate the nature of the problem and devise the correct solution. With AWS, you can start your journey from their comprehensive guides https://aws.amazon.com/getting-started/decision-guides/machine-learning-on-aws-how-to-choose/ or contacting us.