A major part of the “digital revolution” revolves around the consumerization and digitization of our lives. This includes a variety of industries like healthcare, education, government, and corporate. Now, there are numbers and trends that clearly indicate growth around cloud, virtualization, user mobility, and much more.
However, at the core of our digital world is the heart of this discussion: data. Driven by the Internet of Things, the total amount of data created (and not necessarily stored) by any device will reach 600 ZB per year by 2020, up from 145 ZB per year in 2015, according to the Cisco Cloud Index. Data created is two orders of magnitude higher than data stored.
This data that’s being created isn’t benign. It carries vary valuable pieces of information around users, products, services, and even the business. The big question becomes – how do you actually mine this data and get value out of it?
Before we dive further into the topic, it’s very critical to understand that many organizations and partners are already looking at ways to bring artificial intelligence (AI) further into the market.
“Intelligent applications based on cognitive computing, artificial intelligence, and deep learning are the next wave of technology transforming how consumers and enterprises work, learn, and play,” said David Schubmehl, research director, Cognitive Systems and Content Analytics at IDC. “These applications are being developed and implemented on cognitive/AI software platforms that offer the tools and capabilities to provide predictions, recommendations, and intelligent assistance through the use of cognitive systems, machine learning, and artificial intelligence. Cognitive/AI systems are quickly becoming a key part of IT infrastructure and all enterprises need to understand and plan for the adoption and use of these technologies in their organizations.”
IDC said that widespread adoption of cognitive systems and artificial intelligence (AI) across a broad range of industries will drive worldwide revenues from nearly $8.0 billion in 2016 to more than $47 billion in 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
To that extent – here are some big AI disruptions to be aware of:
- Applied Artificial Intelligence and Machine Learning. Think of these technologies as AI platforms which process data and help make decisions way beyond simple, rule-based, data processing algorithms. Rather, they can learn, adapt, predict, and – in some cases – operate without any human interaction at al. Applied AI revolves around everything from self-driving cars to consumer electronics. For example, an AI company called IPSoft has an engine called “Amelia” who can basically be considered your very own digital employee. IPSoft acts as a learning engine which learns your business, leverages key data points, and can understand processes. 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. What if your apps could help prioritize specific functions for you based on conditions of the market, the customer, and even your business? What if, based on a conversation, your app could go back and find the important tasks which need to be accomplished based on that conversation? Smarter applications will leverage data to help transform the way we conduct day-to-day business. Moving forward, almost every application dealing with data will have 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. This part is really cool. AI-driven security architectures will mesh together IoT, virtual technologies, user behavior, cloud analytics, and so much more. There will be a major need for smarter security systems as we merge into a much more complex, and interconnected, world. These types of systems will be able to monitor contextual points around users, devices, flow of information, and much more to create intelligent security architectures.
Data-driven solutions will continue to bring value to users, the services they consume, and how business perform various functions. It’s important to remember that these systems aren’t here to “replace” us. Rather, if you embrace AI technology right it will help you bring so much more value to your job and even your organization.
Machine learning and AI systems will help augment functions, help us make better, well-informed decisions, and allow us to focus on growing the business and creating better services. Working with data will absolutely be in our future. Take the time to understand where your data plays a role with your business, users, and the solutions you bring to market. AI may very well be in your future to help you break out of a legacy shell and transform into a digital entity.