AI in Various Industries – What Roll Does It Play?

May 27, 2021

AI + Industries

Artificial intelligence (AI) plays a role in the most varied areas of our lives. Among those are also different branches of industry, where it is used daily with increasing frequency. Which of these sectors are important, and what additional value can AI offer you if you conduct business in the corresponding fields?

AI in the Telecommunication Industry

Artificial intelligence has already arrived in the telecommunication sector and is broadly used. It plays a large role in network management, among other areas, specifically the maintenance and governance of these networks.

Here experts assume that in the future AI could be responsible for making certain employees redundant, who until now performed this work.

If you are currently active in this industry, AI can be of help particularly in improving your customer service. It can ensure that consumers don’t have to wait as long for an answer from your company about specific issues.

It can simultaneously make various other processes more efficient and ensure that errors in customer service are increasingly avoided. Thanks to these opportunities you have the chance to differentiate yourself from competitors and achieve a high satisfaction rating with your customers.

Tip:

AI systems are trained by “feeding” the algorithms with appropriate training data sets. For machines, data is the same as experience is for us humans. There should be as much of this as possible to achieve an optimal training goal. The best AI training data is therefore obtained from a large number of different people, i.e. from the crowd.

Learn more about “crowd-based training datasets”

Artificial Intelligence in the Energy Sector

In the energy sector, which currently finds itself in a state of upheaval due, among other reasons, to changing extraction methods, artificial intelligence is also being increasingly employed

AI in Various Branches of the Energy Industry

Here it plays a growing role in controlling networks, among other things. In doing so it is contributing to automatization and improvement. In addition, AI is being deployed to optimize the efficiency of energy creation, besides also supporting the transition to renewable energy sources.

In the energy sector AI can furthermore be utilized on the customer side for a more efficient consumption configuration by collecting relevant data. Within this framework it also contributes to increased sustainability, which is a significant reason for the energy revolution.

Similar to its use in other branches, artificial intelligence is also employed to better cater to the demands and requirements of customers. If your business is active in the energy sector, you can use these opportunities to improve your processes and production. Doing so can possibly create a market advantage.

AI in the Automobile Industry

In the automobile industry AI should play a growing part over the next years and decades. This will become apparent in these areas, among others:

  • Production of automobiles
  • Driving assistance and automation

AI in Car Production

Within the scope of production an objective exists that AI could, for example, determine whether all steps are functioning or have functioned as planned. If a damaged part is installed, artificial intelligence can help to catch this as well as then repair the corresponding vehicle.

Manufacturers could therefore continually assess their own products with the aid of artificial intelligence. In this way it would contribute to comprehensive quality management and increase efficiency at the same time. Currently this is not yet possible to a reliable extent, however this vision of the future is already in development.

Driving Assistance and Automation: Current Stand

Currently artificial intelligence is already helping make drivers’ daily routines easier. One of the ways this happens is the driver assistance system, which for example alerts when certain hazards are detected, or when the distance to other cars or objects decreases dangerously.

Additionally, AI makes it possible for the car to automatically implement certain aspects of driving. In some vehicles there is an option to allow the vehicle to park itself using the steering assistant and with no additional help from the driver.

There are similar approaches in some models regarding traffic jams: Here, too, the AI takes over the wheel at times in the truest sense of the word. Cruise control and lane departure assistants also belong in the AI category for automobiles.

AI Sectors

Autonomous Driving as Vision for the Future

Not currently entirely viable yet, but certainly envisioned for the future, is fully autonomous driving through AI. Here the car’s driver no longer steers at all along his route, instead a system conceived for this purpose does. The implementation of parking and traffic congestion automations in everyday driving can be seen as the beginnings of development in this direction.

With regards to autonomous driving there are different degrees of automation. Depending on the level, the driver has the option to intervene (or is prompted by the system to do so). At the highest automation tier this is neither required nor possible, and the driver becomes a passenger.

Autonomous driving is conceivable for, but not limited to:

  • Passenger cars
  • Public transportation
  • Freight transport

Prototypes and test for some of these ideas already exist. The legal framework that is supposed to apply in the Federal Republic of Germany for various possible fields of application for this technology is likewise being increasingly developed and realized.

Usage for Your Business

If you run a business that works in the automobile industry, taking a look at the developments and possible entry into this area can be worthwhile. In this way your company can become part of a visionary future for AI in the automobile industry, which is drawing ever closer.

You can simultaneously take advantage of the benefits in various other branches. You have the option to support company vehicles with relevant assistants and automation. In this way you make the driving easier for your employees and possibly become a little more attractive to potential applicants. In the future autonomous driving could perhaps also play a role in your firm’s freight transportation.

Artificial Intelligence in Healthcare

Artificial intelligence is also playing a growing part in healthcare. In diverse specialties within this sector, it is already an asset.

Diagnostics

This is true, for example, in relation to diagnostics. Certain data, like x-ray images, can be analyzed by AI. In this way the doctor receives important information for further treatment.

One objective tied to further technical advances is, that from a certain point on AI could possibly recognize aspects that for medical personnel are either not visible or difficult to distinguish.

Economical and Organizational Aspects

Moreover, potential for the economic aspect of healthcare arises as a result of artificial intelligence. It can be utilized for personnel management as well as patient management.

Additionally, with the use of AI in some cases a prediction can be made as to the feasibility and success chances of certain therapy methods. With this opportunity and the early detection of health threats, along with a corresponding early response to these conditions in patients, sums in the billions could be saved in the healthcare industry.

AI in Manufacturing

AI is gaining ground in manufacturing as well. Many large firms have already been using it for several years. Among other areas, artificial intelligence is being employed in the logistics sector.

Speech recognition applications are also playing a growing part in manufacturing work. Furthermore, AI is already often relevant with various types of industrial lasers today.

In future it is expected to play an even larger role. For the increasing digitalization of manufacturing in the context of Industry 4.0 it is an important and elemental component.

With the aid of not only the internet of things, processes are being increasingly automated and no longer implemented by humans. Without AI such developments are hard to imagine.

 

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