To effectively compete in today’s dynamic landscape, every organization has to synergize and thrive on the cumulative effect of people, processes, and technology within its operating DNA. The three elements of growth are not just confined within the boundaries of an organization, but also see a multiplier growth effect by virtually expanding those boundaries to let all the stakeholders including partners, end users, and suppliers unite seamlessly.
The onus on digital transformation has dominated the need for more cohesive business models, allowing various business applications, partner systems, and 3rd-party systems to connect and integrate at the speed of users’ growing needs. This effect has given rise to the phenomenon of API-led connectivity. Exchanging information across systems using standard means of communication has become a foundation stone for any digital transformation initiative. Standards-driven integration has given more longevity to aging legacy systems, enabling faster communication and hence faster services to end users.
Artificial intelligence on the other hand, has reincarnated itself in meaningful ways based on neural networks using machine learning, prediction and deep learning to become an important pillar of digital transformation. Based on proven mathematical models, it is most likely that AI can assist or replace human decision making to provide a more personalized experience to the end users.
Many other components of digital transformation converge to create a compelling impact on businesses. For instance, process transformation and optimization cannot deliver their maximum promise without API-led connectivity. Similarly, an operational decision support system cannot function without an all-encompassing process optimization layer. Similarly, AI can be fused into API to deliver some key insights and tangible benefits.
Typically, AI is a reactive response to data that is stored in business applications, accumulated once business transactions and events have occurred. To speed up decision making, applying AI over APIs would be one step ahead and provide us an intelligent mechanism to act and respond on the fly as data flows in and out of the organization. This will accelerate the shift from after-the-fact to real-time decision making and help organizations deepen their personalized experience for end users.
Here are some of the use cases where AI can be fused with API:
- API security predicting denial of service attacks
- Prediction of peak workloads
- API consumption leading to dynamic scaling supported via containerized environments
- Deep personalization
- API subscription scaling
- Log monitoring
- Smart orchestration and mediation of flows into various systems
The impact of AI is undeniable in all aspects of digital transformation. With the massive digital footprint left by end users, connected enterprises, and standards-driven communication, organizations are favorably placed to look at the marriage of AI with APIs.