AI is at the top of every executive’s to do list embarking on a digital transformation, however CIO’s are still trying to figure out how to maximize the full strength of artificial intelligence. Most companies don’t have a full understanding around the complexities of AI and therefore don’t have the right strategy in place to execute relevant and purposeful interactions with customers.
“So, how do businesses go about unlocking these information systems to make AI a reality? The answer is an API strategy. With the ability to securely share data across systems regardless of format or source, APIs become the nervous system of the enterprise. As a result of making appropriate API calls, applications that interact with AI models can now take actionable steps, based on the insights provided by the AI system — or the brain”
The key to building a successful AI-based platform is to invest in delivering consistent APIs that are easily discoverable and consumable by developers across the organization. Fortunately, with the emergence of API marketplaces, software developers don’t have to break a sweat to create everything from scratch. Instead, they can discover and reuse the work done by others internally and externally to accelerate development work.
Additionally, APIs help train the AI system by enabling access to the right information. APIs also provide the ability for AI systems to act across the entire customer journey by enabling a communication channel — the nervous system — with the broader application landscape. By calling appropriate APIs, developers can act on insights provided by the AI system. For example, Alexa or Siri cannot place an order for a customer directly in the back-end ERP system without a bridge. An API can serve as that bridge, as well as be reused for other application interactions to that ERP system down the road.
At their core, APIs are developed to play a specific role — unlocking data from legacy systems, composing data into processes or delivering an experience. By unlocking data that exists in siloed systems, businesses end up democratizing the availability of data across the enterprise. Developers can then choose information sources to train the AI models and connect the AI systems into the enterprise’s broader application network to take action.
Why it’s Hot?
If we can help our clients develop customer strategies in tandem with a strong data and API strategy then we’ll be able to deploy 1:1 interactions with customers like the example below.
“Businesses haven’t truly realized the full potential of AI systems at a strategic level, where they are building adaptive platforms that truly create differentiated value for their customers. Most organizations are leveraging AI to analyze large volumes of data and generate insights on customer engagement, though it’s not strategic enough. Strategic value can be realized when these AI systems are plugged into the enterprise’s wider application network to drive personalized, 1:1 customer journeys. With an API strategy in place, businesses can start to realize the full potential AI has to offer.”