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AI, the 'Intelligent Enterprise', and voice leads the charge

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Emerging APIs are perfectly positioned to capitalize on the next-gen business revolution

It's great when you have an assistant who can anticipate what support you need and give it to you without you giving directions. Especially when they get it right, and then learn how to do the job even better. It frees you up to work on core tasks, which in turn allows everyone to accomplish more.

That's what companies are doing with AI and natural language processing capabilities. APIs are constantly being improved to take advantage of these cutting-edge technologies, because we anticipate integration of artificial intelligence within our APIs.

During calls, AI will be able to transcribe, set up meeting reminders, annotate calendars, and more — without being instructed to do so. It will discern when an actionable request has been made, perform the required action, and remain on standby as needed, without getting in the way.

Part of a bigger trend

According to VentureBeat.com, about 90% of data on the Internet is unstructured text, and companies wishing to compete will need to develop ways to analyze it for intelligence. They continue:

In 2017, senior-level executives are increasingly looking to Artificial Intelligence (AI) innovations to help create information assets to fuel competitive advantage and transform enterprise strategy. According to the IDC Worldwide Semiannual Cognitive/Artificial Intelligence Systems Spending Guide, “identifying, understanding, and acting on the use cases, technologies, and growth opportunities for cognitive/AI systems will be a differentiating factor for most enterprises and the digital disruption caused by these technologies will be significant."

AI is going to enable what Venturebeat calls the “intelligent enterprise" by taking large amounts of data, both structured and unstructured, and automating its analysis using linguistic principles.

Reasoning, traceability (the ability to follow the AI's “train of thought"), and natural language understanding - including context and relevance - are the three most important capabilities that companies want from an AI solution before they invest.

Natural language processing is particularly challenging. As anyone who observed a Google Translate trainwreck in the olden-days will confirm, AIs don't process languages like people do. Basically, most current AI approaches use pattern recognition, breaking down language into data and attempting to learn from the patterns contained in that data.

This approach is called natural language processing. Problem is, it's hard to take context and relevance into account when breaking natural language down into data.

Where the "intelligence" comes in

Enter natural language understanding. This approach is “applying computational linguistics principles to reverse engineer the text back to its fundamental ideas, and realizing how the ideas were connected together to form sentences, paragraphs, and the full document," according to Venturebeat.

This is tough because many words can have more than one meaning, many words also have synonyms, and register changes depending on a text's audience. Language has many, many other features that aren't always explicitly signaled but are perceived and understood intuitively by actual people.

We humans know how to parse and interpret language without having to deliberate over every step, but computers have to create and refer to repositories of knowledge, the more thorough the better.

But the market is growing very quickly, and therefore the research and the available product offerings are following suit. At Clique, we get this - and we are committed to taking full advantage of these emergent technologies and passing them on to our clients. The work's already begun.

How we fit in

APIs already provide flexible, scalable functionality to meet customers' needs, whether they are straightforward or highly specific. Simple, high-definition, multi-party calling, additional text notifications, calendar integration, web-based real-time communication (WebRTC), screen sharing and more-- CPaaS APIs can be tailored to order.

As it becomes more and more sophisticated, artificial intelligence tools will make using CPaaS more seamless, and may enable efficiencies and open doors that you haven't realized were possible yet.

With AI and natural language processing becoming ever more sophisticated, Clique's APIs are perfectly positioned to capitalize on the next-generation business revolution.

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