Artificial Intelligence has been one of the main talking points when it comes to technology in the past decade, and it shows no signs of stopping anytime soon.
The 2010’s will be remembered as a leaping point, when machines could be finally thought of as “intelligent” aka able to think, learn and adapt the same way we humans do and it became more of a reality rather than fiction.
Artificial intelligence, machine learning, neural networks or whatever other fancy terms industry is coming out with for what is defined as the sophisticated computer technology that is becoming widely utilized to understand and improve business and customer experiences. I assume, you have heard of it before, but they way it is defined today is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.
What is Artificial Intelligence?
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include:
Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task.
Machine learning is also a core part of AI. Learning without any kind of supervision requires an ability to identify patterns in streams of inputs, whereas learning with adequate supervision involves classification and numerical regressions.
The Need for Digital Intelligence
Digital IQ, as the measurement of how well an organization can understand its business processes from a variety of critical perspectives, will play an increasingly important role in every digital transformation strategy as more enterprises come to the realization that they must have visibility into their operations.
Digital intelligence solutions will help organizations increase this business-critical ability by optimizing automation initiatives and complementing platforms like RPA and BPM. In 2020, more organizations will adopt digital intelligence technologies into their overarching digital transformation initiatives, as enterprises realize that these solutions illuminate paths to improved customer experience, reduce operating costs and sharpen competitive advantage.
Here are some predictions of what we are likely to see continue or emerge in 2020.
1. AI will increasingly be monitoring and refining business processes.
While the first robots in the workplace were mainly involved with automating manual tasks such as manufacturing and production lines, today’s software-based robots will take on the repetitive but necessary work that we carry out on computers. Filling in forms, generating reports and diagrams and producing documentation and instructions are all tasks that can be automated by machines that watch what we do and learn to do it for us in a quicker and more streamlined manner. This automation – known as robotic process automation – will free us from the drudgery of time-consuming but essential administrative work, leaving us to spend more time on complex, strategic, creative and interpersonal tasks.
2. More and more personalization will take place in real-time
This trend is driven by the success of internet giants like Amazon, Alibaba, and Google, and their ability to deliver personalized experiences and recommendations. AI allows providers of goods and services to quickly and accurately project a 360-degree view of customers in real-time as they interact through online portals and mobile apps, quickly learning how their predictions can fit our wants and needs with ever-increasing accuracy. Just as pizza delivery companies like Dominos will learn when we are most likely to want pizza, and make sure the “Order Now” button is in front of us at the right time, every other industry will roll out solutions aimed at offering personalized customer experiences at scale.
3. AI becomes increasingly useful as data becomes more accurate and available
The quality of information available is often a barrier to businesses and organizations wanting to move towards AI-driven automated decision-making. But as technology and methods of simulating real-world processes and mechanisms in the digital domain have improved over recent years, accurate data has become increasingly available. Simulations have advanced to the stage where car manufacturers and others working on the development of autonomous vehicles can gain thousands of hours of driving data without vehicles even leaving the lab, leading to huge reductions in cost as well as increases in the quality of data that can be gathered. Why risk the expense and danger of testing AI systems in the real world when computers are now powerful enough, and trained on accurate-enough data, to simulate it all in the digital world? 2020 will see an increase in the accuracy and availability of real-world simulations, which in turn will lead to more powerful and accurate AI.
4. More devices will run AI-powered technology
As the hardware and expertise needed to deploy AI become cheaper and more available, we will start to see it used in an increasing number of tools, gadgets, and devices. In 2019 we’re already used to running apps that give us AI-powered predictions on our computers, phones, and watches. As the next decade approaches and the cost of hardware and software continues to fall, AI tools will increasingly be embedded into our vehicles, household appliances, and workplace tools. Augmented by technology such as virtual and augmented reality displays, and paradigms like the cloud and Internet of Things, the next year will see more and more devices of every shape and size starting to think and learn for themselves.
5. Human and AI cooperation increases
More and more of us will get used to the idea of working alongside AI-powered tools and bots in our day-to-day working lives. Increasingly, tools will be built that allow us to make the most of our human skills – those which AI can’t quite manage yet – such as imaginative, design, strategy, and communication skills. While augmenting them with super-fast analytics abilities fed by vast datasets that are updated in real-time.
For many of us, this will mean learning new skills, or at least new ways to use our skills alongside these new robotic and software-based tools. The IDC predicts that by 2025, 75% of organizations will be investing in employee retraining in order to fill skill gaps caused by the need to adopt AI. This trend will become increasingly apparent throughout 2020, to the point where if your employer isn’t investing in AI tools and training, it might be worth considering how well placed they are to grow over the coming years.
Overall, artificial intelligence has the ability to reshape and redefine the way we live and work. The growing trend we should all expect is to see more and more AI enabled solutions in the workplace. These tools will help create new user experiences, better outcomes, and ensure we are achieving our goals in a timely and efficient fashion. When thinking about the needs of the hybrid workforce, leaders need to decide if simple task based automation tools are the answer to their problems, or if they will require a mix of AI and other trans-formative technologies to achieve real intelligent and cognitive automation.