March 10, 2016
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Swift IQ belives Machine Learning as a Service (MLaaS) will become a key market in the near future as more providers look to integrate predictive APIs with their customer transaction data. After presenting at the recent API Strategy and Practice Conference, Swift IQ CEO Jason Lobel spoke with ProgrammableWeb about how businesses can use an API-driven approach to improve their "adaptive intelligence", and shares four techniques that can be tested immediately.
Do you know what's relevant to your customer? Having 100 customers means you know there are 100 different answers. Futurelytics, whose mission is, "Let's make Data Science available to everyone," has released an API that aims at making sure each of your offerings is of maximum relevance to each customer. The RESTful Futurelytics API brings these predictive analytic features to your applications through JSON responses.
The ŷhat Cloud Toolbox is a suite of development tools for integrating predictive analytics into existing Web and mobile applications. ŷhat deploys your models as RESTful APIs, so there’s no need to port, translate, or adapt models for integration with existing systems. We have earlier covered YhatHQ API here.