AI in SaaS

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SaaS or software-as-a-service platforms specialize in mass data processing in more ways than one. The content alone is stored remotely and streamed — as data packets no less — to a remote machine.

But the technology has also evolved to the point where entire systems are delivered via the cloud. Think a sales facilitation and analytics platform that handles everything from product invoicing to customer experiences.

Rather than install and maintain a comprehensive software solution locally, companies outsource the responsibility to a cloud provider. It is all about cloud delivery at scale, with excellent reliability and connectivity, and enterprise-level security, all for a manageable cost. It’s certainly a revolutionary form of technology that has changed all aspects of modern business. It can be used for customer service, feature personalization and custom content creation, digital security, and even online communications.

And yet, it’s about to become even more revolutionary. Automation — or, more specifically, the AI that powers and drives proper automation — will improve operations for the better.

AI and Automation in the SaaS Industry

At its core, SaaS is remote in every sense of the word. This is beneficial in many ways, yes, but it can also cause some extremely frustrating and tedious experiences as well. But AI can be used to mitigate the remote nature of the technology, delivering a faster and more accurate experience for customers.

How so?

It all relates to automation — but not just conventionally repetitive operations. It’s about modern automation that is smarter and powered by a machine learning tool. Over time, the AI driving the system learns habits, experiences, and preferences, and works to fine-tune the service delivery process.

Consider something as simple as Amazon’s product recommendation toolset, for example. When customers visit the site, they see similar products to what they’ve either been browsing in the past or what they’re currently interested in. The content is gleaned and delivered through browsing history and user data. It becomes more accurate as time passes, presenting much more relevant and relatable products to customers.

This same process could be used to deliver cloud service options and experiences that match exactly what a user is trying to achieve. It’s a form of modern personalization that works to improve and enhance the productivity of users all around.

Believe it or not, it does already exist. Oracle is currently developing an AI and machine learning experience for its SaaS applications that will “trigger unprecedented levels of speed in innovation, in the ability to disrupt competitors or even entire industries, and in the ability to adapt to and get in front of rapidly shifting market dynamics.”

AI will also power innovative solutions for deploying updated code, processing analytics and user metrics and bolstering security. The development of SaaS products is highly involved, for example, and requires staying on top of regular code and security updates. Through tools such as Docker, however, and with the help of AI, the necessary code can be rolled out in seconds, instantly bringing SaaS and online services to the bleeding edge.

And to think: that’s just the tip of the iceberg.

AI to Revolutionize SaaS

One of the biggest benefits of implementing AI and machine learning technologies is that the tools and services instantly gain 24/7 availability. AI can power the systems completely, and on its own, too, when properly developed and defined, which does take time, obviously.

As its use grows and more companies learn to integrate it, AI will power cutting-edge functionality across many aspects of the business. From security to customer service, it will revolutionize digital processes, the world over.

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Nathan P. Sykes

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