The Next ‘Disruption’: Artificial Intelligence Set to Explode

Generally speaking, if you’re an information technologies trend that’s given an acronym then you’re a part of the mainstream understanding, or are soon to be a part of it. The latter part of that definitely applies to artificial intelligence. If you’re not explicitly aware of what ‘AI’ stands for, it’s only a matter of time until you do.

Further, if you think that digital assistants like Siri are encompassing the cutting edge of artificial intelligence technology, you’re very much mistaken. They are in fact examples of artificial intelligence, but voice-recognition based software that access the information on the web based on those recognized prompts is but the tip of the iceberg of what’s coming. Nonetheless, they serve as good and fairly commonly recognized examples of the basic premise of AI; you have a source of deductive reasoning integrated into your devices(s) and it goes through those deductions ‘intelligently’, despite being an ‘artificial’ being.

Here at 4GoodHosting, we’re firmly established as a good Canadian web hosting provider, but we’re also keenly interested in staying on top of trends in the digital world that – and particularly ones that are set to make big waves. AI is definitely one of them, so this week we’re going to discuss specific AI applications that are going to be coming to the forefront in a big way over the coming years.

A significant part of the digital revolution circles around the consumerization and digitization of everyday lives. No revelation there. Whether it’s healthcare, education, government, or the corporate world, it’s going digital in a big way and being tailored towards a more consumer-centric acquisition model. Front and centre are cloud computing, virtualization, user mobility, and a good many more of them.

Data is already everything in regards to these trends, and it’s going to be even more so. Driven by the Internet of Things, the average total amount of data created (and optionally stored) by the majority of devices is predicted to reach 600ZB per year by 2020, and that’s even higher than what industry predictions were for this trend just 2 years ago in 2015. Data of course needs to be created first, and it’s in the creation stage that the volume and magnitude of data’s presence is most notable.

What’s notable as well is this data isn’t benign. Instead it’s a conduit to accomplishing something more based on the prerogatives of the user. It carries very valuable pieces of information that is related to users, products, services, and even the entirety of specific business operations as a whole.

So the question becomes – how do you mine this data in the most timely and effective manner, and get the entirety of your defined value out of it?

In advance of our diving further into the topic, it’s important to understand that many organizations and partners are already looking at ways to bring AI further into the market.

Intelligent applications based on cognitive computing, artificial intelligence, and deep learning look to be the next wave of technology that will radically transform how consumers and enterprises work, learn, and play.

These applications are being developed and implemented on cognitive / AI software platforms that offer the tools and capabilities to provide users with recommendations, predictions, and intelligent assistance made possible by cognitive systems, machine learning, and artificial intelligence. Not surprisingly, cognitive / AI systems are quickly becoming a key part of IT infrastructure and the proverbial early-bird enterprises are working to understand and then plan for the adoption and use of these technologies in their organizations.

Get ready for a new working reality where cognitive systems and artificial intelligence across a broad range of industries will be one of (if not the) primary forces driving worldwide revenues from nearly 8 billion dollars in 2016 to more than 47 billion dollars by the time we reach 2020.

Here’s the big point to understand – deploying and implementing intelligent systems that learn, adapt and potentially act autonomously will become the primary battleground for technology vendors and services partners through at least 2020. These technologies will aim to specifically replace legacy IT and business processes where functions were simply executed as predefined instructions. These machines will contextually adapt and help make powerful business as well as IT decisions

And so, here are the most prominent large-scale AI disruptions that will be arriving very soon:

  • Applied Artificial Intelligence and Machine Learning – These technologies can be more explicitly understood to be AI platforms that process data and help make decisions in a more contextually / other-sensitive manner that goes well beyond simple, rule-based, data processing algorithms. Instead, they are able to learn, adapt, predict, and – in some cases – even operate without any human interaction of any sort. Applied AI is going to be found in everything from self-driving cars to consumer electronics.

For example, IPSoft has an engine named Amelia which has every capability of being your very own digital employee. It acts as a learning engine and takes the initiative to monitor data, movements, processes etc. to learn your business, leverages key data points, and overall learn the entirety of the ‘ins and outs’ of what you do. From there, you can deploy Amelia as a cognitive agent capable of taking on the role of a service desk assistant, customer service associate, and even patient entry assistant.

  • Smart Apps Interacting with Data – How impressed would you be if your apps could help prioritize specific functions for you, based on conditions of the market, the customer, or any defined prerogative? Imagine if you could have a very informal conversation and then have your app go back and define important tasks based on that conversation? Smarter applications will leverage data to help transform the way we conduct day-to-day business. In the very near future almost every application dealing with data will come with a machine learning aspect to it.
  • Intelligence and User Augmentation – AI and smart systems will allow users to “double” up on what they’re trying to accomplish. Most of all, we’ll be able to integrate with wearable technologies, various business functions, and even create and orchestrated flow of information based on very specific use-cases. Leveraging AI and machine learning will allow users to function at a much higher level, bringing even more value to their business. This is NOT user replacement… rather it’s augmenting their capabilities and improving all of the processes surrounding their digital work (and home) life.
  • AI-Driven Security – Security is of increasing importance in the digital world, and particular in how it relates to e-commerce operations. AI-driven security architectures will mesh together with IT infrastructures, virtual technologies, user behaviour, cloud analytics, and a whole lot more. There will be a major need for smarter security systems as we merge into a much more complex – and inevitably interconnected – world. Look for these systems to be able to monitor contextual points around users, devices, flow of information, and much more to create intelligent security architectures. It’s going to be very impressive.
  • General Data-Driven IT solutions – These solutions will continue to deliver considerable value to users, as well as enhancing the services they consume and improving how businesses perform various functions within the digital realm. Some will be concerned that these systems are here to replace them, but that’s a shortsighted and off-base concern. The reasonable perspective is to understand that if you embrace AI technology and incorporate it judiciously it has the potential to bring so much more value to your operations and involvement in the digital business world.

There is always a degree of uncertainty and trepidation that’s attached to incoming new technologies that look as if they will thoroughly reinvent many aspects of the working world. Machine learning and AI systems should be welcomed, as they will help augment functions and aid us in making better, well-informed decisions and focus on growing our businesses, making them more streamlined in their operations, and creating better services.

The explosion of AI is definitely on its way, and we for one couldn’t be any more enthusiastic about it!

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