When people think of Artificial Intelligence (AI) they often conjure images of humanoid machines functioning at a level beyond standard human capability. But that concept doesn’t reflect the more common implementation for in today’s business world. Instead, the purpose of AI in most corporate landscapes involves automating mundane tasks.
Advanced computing technologies can manage these duties with an increased level of efficiency when compared to the speed and accuracy of their human counterparts. And, in some cases, they can be programmed to “learn” as they move along.
With all of the potential represented in AI, it’s no wonder that the technology can help businesses work even smarter by efficiently managing resources and lowering operational costs associated with data analysis and management.
AI and Processing Power
Even though AI has been on the technological radar for quite some time, we have only recently been able to create systems with the necessary processing power to make these solutions effective. Advances in CPU technology and GPU acceleration create trainable neural networks. This makes concepts like machine learning, also known as deep learning, and advance algorithm processing a reality.
As the speed of processing and analysis improves, businesses can use the results to alter the course of their business more effectively. Additionally, the ability to automate simple processes means that employee efforts can be directed to more complex development matters instead of spending time managing the nitty-gritty of daily processing requirements.
AI and Data Analytics
The advent of big data in the business world initially represented cumbersome data sets housed across multiple systems and based on varying structures. AI is able to effectively review the information to find meaningful information. This allows businesses to adjust their approach to many standard operations.
For example, data analytics of this nature allow large scale advertising systems to select better-targeted ads based on web-users activities. Other areas of growth include the self-driving cars, the development of virtual personal assistants, and even recommendations regarding how to treat someone with cancer.
AI and Technical Employees
Some of the fear around AI-centered on the likelihood that duties traditionally performed by people would be delegated to their machine-based counterparts. While the idea that improved technology leads to a loss of certain jobs is nothing new, the fact remains that AI is still a developing technology. As mundane tasks are moved from the hands of a person to the processing power of a computerized system, IT professionals can redirect their efforts towards more advanced development or other critical business goals.
AI, as it is seen now, appears to be a point of augmentation instead of straight replacement. By removing certain tasks from the hands of workers, they can focus their efforts in a way that can increase their overall productivity. The activities of people will be enhanced by these sophisticated systems, allowing professionals to prioritize their activities more effectively.
As developments in AI continue, it can be assumed that a disruptive technology will soon emerge that allows businesses to revamp their current methodologies. To take advantage of AI’s potential, a business needs to be prepared to move forward when the opportunity arises.
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