7 Aug, 2019

How Would AI Shape Future Integrations?

  • WSO2 Team
  • Content Writer - WSO2
On-Demand Webinar

How Would AI Shape Future Integrations?

Wednesday, August 7, 2019

We have critically evaluated how AI will shape integration use cases, their feasibility, and timelines. Emerging Technology Analysis Canvas (ETAC), a framework built to analyze emerging technologies, is the methodology of our study.

We observe that AI can significantly impact integration use cases and identify 13 AI-based use case classes for integration. Points to note include:

  • Enabling AI in an enterprise involves collecting, cleaning up, and creating a single representation of data as well as enforcing decisions and exposing data outside, each of which leads to many integration use cases. Hence, AI indirectly creates demand for integration.
  • AI needs data, which in some cases lead to significant competitive advantages. The need to collect data would drive vendors to offer most AI products in the cloud through APIs.
  • Due to lack of expertise and data, custom AI model building will be limited to large organizations. It is hard for small and medium size organization to build and maintain custom models.

Join our webinar as we discuss how challenges posed by AI, such as lack of expertise, bias, and attacks would affect these use case classes.


Srinath Perera Vice President - Research, CTO Office, WSO2
Srinath Perera

Srinath is a scientist, software architect, and a programmer that works on distributed systems. He is a member of the Apache Software Foundation. He is a key-architect behind several widely used projects such as Apache Axis2 and WSO2 Stream Processor. Srinath has authored two books about MapReduce and frequent author of technical articles. He received his Ph.D. from Indiana University, USA, in 2009. As VP of Research at WSO2, he heads the research team and is also responsible for studying current markets, technologies, and future trends for WSO2.


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  • WSO2 Team
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  • WSO2