There are several innovative benefits of Artificial Intelligence. With the excess in demand and interest in artificial intelligence engineering, many new trends are emerging in this space. By 2023, AI professionals will be able to demonstrate solid understanding of responsible AI principles to secure their careers.
AI and Machine Learning (ML) are terms that nearly everyone has heard of these days. Even those who aren’t familiar with these terms know these new technologies. Research shows that 77 percent of the devices that mankind currently uses are AI driven. From a bevy of “smart” devices to Netflix recommendations to products like Amazon’s Alexa and Google Home, AI is the force behind many modern technological comforts that are now part of our day-to-day lives. IBM’s Chef Watson, for instance, could create quintillion possible combinations from just four ingredients. Also, AI-powered virtual nurses such as “Molly” and “Angel” are already saving lives and costs, while robots are assisting with many processes, such as less invasive procedures to open-heart surgery.
If one wants to be artificial intelligence engineer, it’s essential to stay on top of emerging AI and Machine Learning trends.
Implementation of AI in Cybersecurity
AI algorithms have already been used for preventing cyber-attacks, monitoring corporate networks, detecting malicious software, and other applications. Now business users are troubled by smart hackers who manipulate data used in model training, access sensitive data by reverse engineering AI systems, or detect security weak spots in corporate systems. To counter these cyber threats, businesses now want solutions offered by AI engineer to closely screen all data used for model training and to inject special security elements in the AI models.
Transparency Trends in AI
Despite becoming so ubiquitous, artificial intelligence engineering suffers from a few trust issues. As businesses plan to expand their use of AI systems, they will want to do so more confidently. After all, no one wants to be dependent on the decisions of a system that they don’t understand.
Hence, there will be a bigger push for deploying AI in a transparent and clearly-defined manner. While several enterprises will make efforts to understand how AI models and algorithms work, AI/ML software providers will require for sophisticated ML solutions more explainable to users.
With transparency becoming an essential aspect n the AI space, the roles of professionals who are in the trenches of programming and algorithm development will become more critical.
Use of AI for Environmental Threats
In the year 2022, many businesses and governments globally deployed powerful AI solutions, which are developed by artificial intelligence engineers to combat carbon emissions, use of fossil fuels, global warming, and deforestation. One case study is from Google, which implemented the concepts of deep learning to their data-center cooling technology, and achieved a total of 40% reduction in energy consumption.
Data Security and Regulations
Data is the new currency. In other terms, it’s the most valuable resource that firms are required to protect. An AI engineer is increasing the amount of data one can manage and the risks associated with it. For instance, today’s firms back up and archive massive amounts of sensitive personal data, which is predicted to be an expanding privacy risk in the year 2022.
As the pressure to meet the constant regulations, firms will require to employ, artificial intelligence engineers, data scientists and data analysts to stay compliant and stay ahead in these trends.
Artificial Intelligence Engineering with Hyper Automation
One of the most essential trends in artificial intelligence engineering is hyper automation, which is an efficient way to advance the customer service and fasten up several processes. There are many advanced technologies that help to power hyper automation, such as Machine Learning (ML), Artificial Intelligence (AI), cognitive process automation, and more. Apart from enhancing the customer service experience, hyper automation can also help achieve various other essential tasks at a quicker rate, such as system integration and organization, as well as improving worker productivity.
Aileen Scoot is a professional writer, blogger who writes for a variety of online publications. She is also an acclaimed blogger outreach Exper.
