AI Automation: Everything You Need To Know
A longtime trope of science fiction writers everywhere, artificial intelligence is emerging more as a help to humankind rather than a benevolent tyrant. AI or artificial intelligence, as Emerj states, is a branch of computer science that deals with imparting context to machines in such a way that they can think in a human-like manner.
Conversely, the term intelligent automation (IA) as defined by Deloitte, uses AI combined with automation to develop systems that can operate at a high level of competency in doing routine tasks. Automation cannot exist without AI, and as the technology develops, IA is being put to more sophisticated uses.
How is AI Automation Used?
As EY informs us, a globally competitive industrial and commercial environment usually requires a company to embrace whatever technology that it has to give them the edge. In the case of intelligent automation, AI offers companies a methodology they can use to be more efficient and more productive.
AI machine learning can be adapted to a wide variety of industrial applications and implementing patterns such as “process, predict, and prescribe” AI can guide businesses to better, faster, and more economical methods of production.
How Does AI Automation Benefit Us?
AI automation has the potential to affect every single aspect of our lives. By integrating machine learning with automation technology, the AI can even determine what it needs to automate. Witnessing humans doing a job and being told what the right way to do things establishes a rules framework that the AI can iterate on and get better. Within business, as MIT Technology Review mentions, AI automation can impact every employee’s job, making it easier and less time consuming to get tasks done.
Other applications of AI automation include the development and training of wholly automated cars. The Wharton University of Pennsylvania states that AI is helping to develop self-driving vehicle technology much faster thanks to its ability to learn and improve with each trip. Automation could apply to everything from grocery selection to scheduling for routine medical checkups.
Industries Disrupted by AI
As a transformative technology, AI has managed to make inroads into quite a large number of industries. Among the most noticeable disruptions to sectors are:
- Agriculture: High-tech agriculture is incorporating the use of robotics alongside analytical predictive models and crop and soil monitoring.
- Call Centers: thanks to new advances in voice recognition and synthesis, AIs can learn how calls are performed and even make decisions when ‘talking’ with customers.
- Energy and Power: Smart electric grids have come online in several countries, making for a more efficient switching and distribution system.
- Healthcare: IBM’s Watson has already featured in news reports as a prototype for diagnosis and may replace the general practitioner in time.
- Manufacturing: One of the earliest industries to adopt AI, this field benefits from constant feedback of manufactured goods.
- Transport: Developed nations like Finland and Singapore are looking at automated means of travel and automatic rerouting to deal with increased load through AI.
While these industries form the forefront of AI development technology, many other sectors are only just beginning to feel the impact of Ai automation on their activities. Among the industries that AI is slated to disrupt in the coming decade include the lifestyle market and the finance market. While both of these already have their own rudimentary AI applications, the depth to which AI can impact these industries over the coming decade may be a surprise.
The Future of AI Automation
Self-optimization is how machines will be designed to operate in the future. The prevalence of AI in the workplace raises a lot of questions about the replacement of workers from jobs that can easily be automated.
Despite the fear about job loss due to automation being high on the list of concerns, Information Week advises that the fear is overblown because of how AI automation will change the industries it impacts. The world of work will shift from being one where humans provide the labor into one where humans give the guidance. Instead of replacing jobs, AI is likely to augment existing ones, making them easier to perform.
Many Hills to Climb
Even though AI is such a significant part of each industry’s outlook, it is still in its developmental stages. Deep neural networks teach us that machines can learn to think and communicate, even with each other. With each breakthrough in the development of artificial intelligence, the last advance is being implemented in engineering and industrial applications. No one is sure how long it will take before AI automation becomes a necessity to industry, but it may be sooner than most think.