Tuesday, October 12, 2021
HomeTECHNOLOGYThings To Consider While Picking An AI Platform

Things To Consider While Picking An AI Platform

So, what is an AI platform?. Artificial intelligence involves the use of machines to mimic human intelligence and combine this with the computation abilities of a computer. This results in a system that lets you automate tasks to gather and analyze data or even to present them in a more understandable form. In the end, the processed data can then be used for predictive analysis for solving problems and also to make decisions. AI platforms are tangible solutions or a set of tools that are used to provide very specific task implementations in businesses. In some cases, the entire infrastructure is automated and streamlined based on an enterprise AI platform.

Do you need an AI Platform?

From automation to ease of analysis, AI platforms offer numerous benefits to businesses small and big. These are all designed to ensure that all those mundane aspects of your workflow would be automated so that your resources would be free to take up value-adding tasks. From effective utilization of labor to the time saving aspects, there are many reasons why you might find it beneficial to switch to AI platforms. The task at hand could be something simple like building a customer service chatbot or even an employee helpdesk automation tool. But then you should always be ready to scale the solution to expand the automation to other activities as the need arises. There are AI platforms that help you develop applications that achieve this automation. But then there are plenty of options out there. So, how do you know which one to choose? Here are a few aspects to consider in order to compare and find the perfect AI platform-

Choosing AI Platform – Factors to Consider

  • Understand the application

Every AI application out there is built for a specific set of tasks. While they all mostly come with machine learning features, some are designed for deep learning abilities as well. This is based on the concept of narrow AI/strong AI demarcation. Is your requirement merely the capability to handle a large volume of data and decisions based on history or would you also need a system that can work smoothly in unpredicted scenarios? Strong AI is the slightly more intelligent strategy where predictive analysis is possible even if the task at hand is different from the dataset for learning. Based on your use case you can compare the scope of the AI application and thus pick the right one. Sometimes, as early use of AI solutions, you might find it difficult to analyze the use cases. This is where talking with the right vendor would be useful.

  • Cloud platform considerations

Not all AI platforms support all the popular Cloud platforms. One of the major steps in checking the ease of integration of the chosen AI application with the existing system would be to compare the cloud platform compatibility. This is at a more technical level where you analyze the APIs, machine learning libraries and other aspects based on the cloud infrastructure. This lets you decide on the strategic use of AI APIs in the cloud platform. Sometimes a hybrid model with dependence on multiple cloud platforms might be suitable. With the right vendor you would also be able to work on an overall hybrid system so that partial cloud integrations can be accommodated.

  • Preparation of datasets

At the crux of any AI solution lies the dataset on the basis of which the intelligent system performs its analysis and decisions. What kind of effort would be required to prepare the data for the AI platform you plan to adopt? Some part of the data collection might already be automated and there would still be manual data entry in most cases. Remember that the format in which data is often entered or collected automatically might not always be the same format in which the AI system requires. So, there is a level of processing involved before preparing the dataset for the AI system.

  • Pricing

One of the most crucial aspects of decision-making when it comes to choosing an enterprise AI platform or even an AI application for a sub-task would be the pricing. Based on the services offered you might also have different plans to choose from. You can make a decision here based on your use case analysis. Some of them come with scalability and therefore you should also consider the long-term pricing aspect. Working with the same platform, in the long run, would mean fewer transitions and thus save a lot of time.

Wrapping up

For image processing, speech processing, and other applications you might need a different type of AI solution. If it is for applications like chatbots, natural language processing would be a requirement. For cases where the input data involves images, superior image processing capabilities are required. Based on all these considerations, also look into the data ownership factors and life cycle costs to know that you are choosing the best artificial intelligence platform for your business.

RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Most Popular

Recent Comments