How to Build AI Solutions that can integrate easily with other systems?
In the previous posts, we talked about building stateful AI apps built with both long and short term memory for extending AI capabilities to your software and business apps. In this post, we will discuss how important a role interoperability plays for extendability of your software apps with AI.
One of the many benefits of integrating Data Machine’s AI functionalities into any software or business application is that they can be easily extended with AI capabilities without the burden of hosting the AI infrastructure in the software’s native environment. Let’s look at a few examples of functionalities for AI that might be beneficial for businesses.
Anomaly Detection – Detect anomalies in activity of any software application or business activity using AI to identify performance bottlenecks or security issues. The anomaly detection models can be integrated into any software app to provide this capability
Recommendations – Provide recommendations to users based on their past activity. This requires an analysis of user activity along with constant learning to provide relevant products or content to them. The recommendation engine model provides this with a simple API integration. Instructions can be found here.
Churn Prediction – Detecting user churn in B2C and B2B apps is a complex task which requires a constant analysis of user activity while forecasting the likelihood of the users losing interest in the product. The churn prediction model provides this insight so businesses can proactively reach out to users to retain their interest and continue to win their business.
There are several other models that are available as part of the Qualetics library and all of which can be integrated into apps through the many options available. Here are the ways in which the AI Solutions built in Qualetics provide interoperability with other solutions.
Data Machines built in the Qualetics platform are automatically provisioned with an API endpoint that can be easily integrated into any application that supports Rest API. Instructions for API integration can be found here.
Webhooks are used when asynchronous information needs to be relayed to a business or software application once an external condition is met due to some activity.
For example, in an ecommerce application, a user might encounter a problem while trying to purchase a product or a user might be having trouble trying to order a pizza using an app. If the problem is not remediated or if an alternative is not provided, the business is very likely to lose that customer and their business.
In such scenarios, having an AI automation to detect the negative experience of the user in real time and provide them with an option to call customer service or providing an alternative option to finish their action will be seen very favorably by the customer.
Such an automation can be easily implemented using Data Machines built using any of the models and integrated with the Webhooks of any application. Instructions for the webhooks can be found here.
Event Based Integration using Subscriptions (Web, Mobile, Server, IoT)
Qualetics provides the capability to capture events from any application or device using the API based streaming data ingestion. This is an event based data collection method where any transaction, device activity or application event can be captured in real time.
Some of these events can benefit from AI powered analysis in real time, for example detecting anomalies, identifying fraud, identifying sentiment etc.
Data Machines can be integrated with such real time events using the Subscription feature and used to trigger activities such as notifying the user through emails, triggering a webhook or simply triggering another Data Machine to perform a follow up AI analysis.
Instructions for using Subscriptions such real time integration can be found here.
Business Apps (CRM, ERP, Ticketing, Social Media)
Qualetics has an existing integration with Zapier which provides the ability to connect your Data Machines to 6000+ applications. Any Data Machine that is built in Qualetics is immediately available in Zapier once it is Published, in order to be used as an action.
To use Data Machines in Zapier, select the Qualetics App and pick the action “Run Data Machine” to see the list of published Data Machines. To learn more, check out the Qualetics app in Zapier.
Data Machines can also be executed on custom events occurring in your databases. If your database cannot be integrated using the existing API & SDK based integration or the No Code integration using Zapier, a custom integration might be required. If you are interested in a custom integration with your database to add advanced AI capabilities, please reach out to us here.
In subsequent posts, we will dive deeper into the Security mechanisms along with the domain agnostic use cases offered by Data Machines.
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