What Industries Will Be Most Affected by AI in 5 Years?
AI is becoming more sophisticated each year at performing tasks that people do. And this performance is faster, cheaper and more efficient. It affects a lot of industries but we think that healthcare, manufacturing and civil engineering will experience a great technology breakthrough in the nearest five-ten years.
Artificial intelligence in Healthcare
AI is becoming a vital part of the healthcare ecosystem. One of the benefits that we can think of is a reduction of FTE (full-time employment) time in hospitals and no need to have personal meetings with the doctors. How’s that possible? We’re already using artificial intelligence healthcare applications for the Internet of Medical Things (IoMT) by consumers of healthcare services and this truly makes the lives of people better.
Some current uses of artificial intelligence in medicine include running checks to detect serious diseases like cancer at its earliest stage. Unfortunately, we cannot find such software in all the hospitals around the globe. We believe that spreading a word about this technology and proving that its implementation will be beneficial for both hospitals and their patients.
American Cancer Society state that the use of AI for viewing and interpretation of mammograms is 30 times faster and more accurate by 99% than the same work done by the human.
Where do the hospitals get that artificial intelligence technology stack and the software? We can name two corporations that have already delivered some tools for the healthcare industry: IBM Watson for Health and Google’s DeepMind Health. There are also companies that deliver customizable artificial intelligence applications that will solve the specific need of each clinic or hospital.
AI for treatment
Artificial intelligence in hospitals is not limited only to the diagnosing routine. We have AI used in surgery, laboratories and other departments as well. But there’s one issue that is not automated and that strongly needs AI to be implemented. It’s a path from a research lab to producing a new medicine. What we have now is spending about 12 years to have one drug get from the research point to the patient.
A bigger part of drugs doesn’t even reach the stage of testing. This traditional way costs about $359 bln for a company to deliver a new drug from the research stage to the patients. AI can significantly decrease the costs and the delivery time. It can be used for doing the research, testing the quality of a new drug and its compliance with the quality standards, etc.
Artificial intelligence in Manufacturing
What can we consider here besides traditional robotics solutions that can make decisions thanks to adding AI technology stack? Let’s have a close look at two issues: computer vision and generative design.
Computer vision
Human eyesight has limitations. We cannot detect the tiniest drawbacks that are very small — they’re simply hidden from us. We can use specific tools for making something look bigger but using a machine with a camera will be more efficient in any case. We can teach this machine to detect flaws that are half the width of a pet hair.
However, we might need people to take part in the process of decision making. The machine takes the photo and sends it to a human if there’s something unusual there. The result is returned to the machine and it gets an updated algorithm of actions for this very case in the future.
We can remember landind.ai startup that was built by Andrew Ng, a Silicon Valley veteran. It was a machine tool for finding microscopic defects on circuit boards according to a machine-learning algorithm that was taught by a small number of images.
The machine not only gets and processes the information, but it also learns from each case thanks to a properly delivered artificial intelligence programming. If there’s a problem detected, an alarm is sent and called as “automated issue identification.”
Generative design
Generative design lets you rent 50,000 machines in the cloud per hour. You can do whatever you wish — 50,000 engineering days within 24 hours. These are the words of Brian Mathews, a VP of Autodesk platform engineering.
If you need to design an aircraft or a small battery of a phone, the generic design will give you a shorter time-to-market and reduction of human error during the designing processes.
Artificial intelligence in Civil Engineering
AI can be used in civil engineering for solving such tasks as prediction, risk analysis, making decisions, optimizing the resources, their selection and classification. AI can solve problems in the processes of constructing, maintaining and management.
AI methodologies can be applied in the construction management, materials building, hydraulic optimization, transportation and geotechnical engineering, and EHS. It’s good to use for the systems that are complicated to be constructed and managed by a human. You get a significant cutback of time spent on the average processes and great cost reduction.
It’s possible to use AI by construction planners as personal assistants for generating and evaluating construction scheduling plans that are (almost) optimal. This will lead to minimizing cost and time. And this can lead to processes automation if it’s required.
Smart materials can also benefit from implementing AI. Here we mean the devices or robots that can influence the properties of some materials, their geometry or even mechanical or electromagnetic response. The key to success here is the development of the right software that will provide engineers with reliable tools.
Where to get artificial intelligence software?
Artificial intelligence is much more than a robot that performs a set of specific actions according to a predefined algorithm. It’s a technology solution that aims at reducing FTE, human errors and improving the efficiency of all the processes. We believe that healthcare, civil engineering, and manufacturing domains will be influenced by AI the most.
There are two common options here: off-the-shelf and custom solutions. You can have a look at the existing options and see how beneficial they are for the companies that use them. It may happen that there are no available solutions that could solve your business needs and custom solutions can truly help you. And you can get them from specialized software development companies that have good expertise in your industry.
