9Evaluating AI/ML Platforms and Services
Information is the oil of the 21st Century, and analytics is the combustion engine.
—Peter Sondergaard
Welcome to the exciting world of evaluating AI/ML platforms and services. Whether you are a data scientist, business analyst, developer, or decision-maker for AI/ML implementation, this chapter will help you choose the right platform and services.
Choosing the right platform and services is pivotal to the success of your AI/ML as well as Gen AI implementation. This chapter covers the various AI and ML services that the cloud service providers such as AWS, Microsoft, and Google provide. The idea is to leverage what's available to get your project kick-started. Now is an excellent time to look at the different portfolios of AI/ML services and map them to the business problems you are trying to solve. This includes evaluating specialized services for healthcare and industry solutions so that you can embark on a path that resonates with your business goals and regulatory landscape.
It isn't just about choosing the right tool; it is about aligning with the fastest time to market, handling high-intensity workloads, maintaining cost-effectiveness, and staying at the cutting edge of technology. Once you have identified the right use cases, you need the right set of tools, setting the stage to launch your pilot, the focus of the next chapter (see Figure 9.1).
Given the plethora of AI/ML platforms and services, each with its own features and ...
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