For some, the concept of AI, or artificial intelligence, seems farfetched. However, AI is already integrated in our everyday activities and heavily impacts our functioning. From the consumer space to big enterprises, the booming of AI integration has affected various entities — and it can do so from the palm of your hand. The concept of AI might not be clearly defined from one person to the next, so let’s explore about how this simple acronym is catching fire in the professional world.
Artificial intelligence is hardly used as an all-encompassing term. In fact, various forms of AI are used for different functions. Foundationally, robotic process automation (RPA) is a base form of AI that requires exact user-fed instructions to execute commands. This system of AI is especially useful for automation of manual work that can often be prone to human error. A higher stage of artificial intelligence is capable of data processing, analyzing, and communicating like a human brain. An example of higher AI capability would be Google’s DeepMind, which learns from its previous experiences. In short, instead of having to teach DeepMind the rules of a hypothetical game, it learns the rules of the game by “teaching” itself through repetitive playthroughs.
Diving deeper in the “AI rabbit hole,” you will find NLP, machine learning, deep learning, and other similar trends. While similarities can be drawn between artificial intelligence and human intelligence, there are also different dimensions within the two categories. Ultimately, the various AI usages can be found working in your smart applications. With how connected we are in our society, it’s no wonder that artificial intelligence is furthering its evolution to provide us a more productive lifestyle.
Just how relevant are smart apps in today’s professional world? According to a PwC study, the majority of enterprise leaders believe that “AI is going to be fundamental in the future” — with 72% of leaders calling it a “business advantage.” So, what exactly is causing AI to be an essential tool?
Many businesses are increasingly bogged down by a clutter of messaging channels and this creates a serious miscommunication problem. Other issues in the work place can range from missed meetings to scheduling mix-ups. An automated assistant that aids scheduling, reminders, reservations, and other tasks associated with your professional calendar will undoubtedly reduce costly mistakes and down-time. AI-integrated apps such as “Clara” serves this very function. Other great AI-powered apps possess the ability to generate digestible reports from huge data sets, use machine learning to maximize digital marketing, and achieve e-commerce optimization. However, having these useful apps at our service is not enough. With businesses seeking to take advantage of the growing digital age, there is demand for more groundbreaking apps to reach optimization by automation.
AI integration in the healthcare industry could potentially declutter the hospital environment and positively affect patients. An observation made by the Artificial Intelligence for Health and Health Care vocalizes that AI applications in the health field will improve our era due to:
“1) frustration with the legacy medical system, 2) ubiquity of networked smart devices in our society, 3) acclimation to convenience and at-home services like those provided through Amazon and others.”
The ability to keep fit with apps that track our caloric intake like “Myfitnesspal” is amazing. But why stop there? Mobile apps in the health field could be extended to individuals of all ages to keep up with their health and stay connected with their local physician. The aggregation of limitless health data could be shared to researchers and hospitals. Physicians would see increasing mobility in their work-space by having less restrictions and having more available information while patients would benefit from potential services such as e-prescribing and remote patient monitoring.
The automotive industry is trending and bringing with it a need for connected cars, driver behavior analysis, cost-reduction strategies, and other fleet management needs. Putting better and more smart vehicles on the road will decrease risk factors and increase telematics connectivity. The transition towards more ride-sharing will also play a part in optimizing fleet management. The integration of mobile apps will propel these changes. Whether it’s with a smartphone or tablet, mobile apps will provide increased productivity and cut costs for nearly all fleet management enterprises.
If you are interested in learning more about AI and the Digital Transformation, click here.