Artificial intelligence and machine learning technologies are powering modern innovation. Across industries, companies are integrating this tech with compelling results. The ability of AI and machine learning to automate processes, enhance security, and improve software features make this tech highly desirable.
As AI and machine learning improve, their uses trend in new areas. Currently, AI is bridging human and machine communication in a variety of ways. Innumerable processes are potentially affected by this shift. Here, we only have room to explore a few important focuses of modern AI.
With its ability to match human-level analytic functions with incredible speed and scale, there is no question why this tech is powering a host of automated functions. From software automation to reinforcement learning, AI and machine learning systems will rewrite the rules of business soon.
For anyone engaged in testing software, the ability to automate program testing and bug fixing is a huge win. Automated applications that do just that are becoming more popular. With programs like SauceLabs or Test.AI, programmers can focus more on coding and less on testing and fixes.
Automation helps developers create quality software faster. With automated unit testing, programmers can catch more problems during the design stage. This helps to reduce costs while improving the product overall.
The benefits in digital processes don’t end at programming, however. Across financial data systems, the ability of AI to ease processes is simplifying the lives of all kinds of workers. Automated invoicing systems, for example, lets AI handle complex transactions so that workers can be free to handle issues that require human involvement.
In transportation and supply chain management, the incorporation of autonomous vehicles is coming sooner rather than later. The use of AI to power the way people and goods are transported is being actively developed by major companies like Tesla and Uber. As this technology improves, self-driving vehicles will continue to be a trend in AI development.
Through AI and machine learning processes, cybersecurity is improving all the time. This technology features the ability to sort and analyze entire databases of information to register for potential harm. As a result, malware can be caught with enhanced precision.
With increased digitization—especially with the coronavirus leading to more workers at home—private networks face a growing threat. Cybercriminals look to abuse systems for their own advantage. As security tools improve, so too does the ability of hackers to break in.
Machine learning is one of the best solutions to these attacks, however. An AI can check databases against registries to catch suspicious activity. By scanning endpoints and monitoring networks, machine learning systems can catch unauthorized breaches faster than any human could be expected to notice such an attack.
IT and cybersecurity solutions continue to be a trend of AI tech. As our reliance upon technology increases, the need for more of these solutions will only grow.
One foundational benefit of AI is that it offers useful predictive insights. Wouldn’t you like to have a heads up every time your car is nearing a breakdown? AI makes exactly that possible. With predictive maintenance recommendations, intelligent tech is saving companies money.
Predictive maintenance means better use of resources and safer processes for workers across industries. Smart devices operating on the Internet of Things (IoT) relay diagnostics back to a hub network in real-time. Then, the AI can prompt machinery operators when a problem appears to be emerging.
IoT is particularly beneficial in industrial processes. Its application in predictive maintenance is bringing breakdowns down by as much as 70%. This means less idle time as well as safer situations for drivers.
With such impressive results, IoT and AI tools are increasingly being adopted by transportation and freight companies. Anywhere that inventory needs to be managed cost-effectively, AI is there.
Natural Language Processing
We are communicating with machines more all the time. With the popularization of smart home systems like Amazon’s Alexa, the average consumer is tending to search and inquire more using only their voice. This kind of communicative processing in machines is referred to as Natural Language Processing (NLP).
Human language is incredibly nuanced. There are a million ways to frame a simple question, and AI needs to be able to comprehend all of them. That is why NLP systems are a trending focus in the future of machine learning tech.
NLP functions make a world of difference in tools ranging from translation to customer service chatbots. All language operates within an incredibly complex system of rules and exceptions. AI tools can pick apart these complexities to provide coherent responses to any consumer.
In marketing, the applications of NLP tech are many. With the ability to target, message, and answer customers all through an AI chatbot, a new host of potential leads are available to you.
Ultimately, the trend of nearly all AI and machine learning processes could overhaul communication for the average user. With each instance, information is instantaneously transitioned in one form or another for the improvement of a process. In software, this means the reporting of bugs and fixes to the programmer. In predictive maintenance, it means the anticipation of a problem to a driver or technician.
AI and machine learning are improving the functionality and safety of our world with each innovation. We can only hope this trend continues.