“Siri, make a reservation for five at my favorite restaurant tomorrow.”
“Alexa, play my workout playlist for me.”
If these conversations sound like an everyday routine for you, then you have already warmed up to the existence of artificial intelligence.
In fact, for most people, it wasn’t a very long time ago when AI became synonymous with digital personal assistants like Cortana and Siri. AI research has been, until recently, been restricted to big technology companies as they had the scope of
But today, artificial intelligence is a widespread phenomenon, which is presently being explored and expanded in many sectors. The world’s greatest technological minds are welcoming the potential of this groundbreaking technology. So let’s dive in and explore its implications in different industries and spheres.
A virtual agent is basically a computer agent or program that’s able to interact with humans.
The most popular specimen of this kind of technology is chatbots. Virtual agents are presently being adapted for customer support and service and are acting as smart home security managers.
AI technology enables the computer hardware to be much smoother. This type of hardware comes with new graphics and central processing units and devices, particularly designed and developed to carry out AI-oriented operations.
If you are still alien to this technology, then you can soon expect the wide acceptance and imminent appearance of AI-powered silicon chips that can easily fit right into your portable devices.
You can access this technology through Google, IBM, Intel, Alluviate, Cray, and Nvidia.
AI defines the employer’s needs
Many organizations perceive Artificial Intelligence as an opportunity, instead of a threat to jobs. This is because they realize that with proper integration of AI, it’s possible to improve the collective performance of the workforce within the company.
One of the main hindrances to the full-fledged implementation of AI is the idea that it will result in mass unemployment. Many people harbor the idea that the age of automation will be banal for the job prospects. While such ideas are doing the rounds, there has been a considerable thought regarding how AI creates employment opportunities that weren’t possible even until a few years ago. Employers are eager to hire more programmers, coders, and technicians to manage and carry out intricate, artificially enriched systems.
The current global phenomenon is that when you adopt new technology, over time, you actually create more jobs. In fact, if the industry experts are to be believed, the employment opportunities have only multiplied and so has the working hours per day.
AI in the decision management
Intelligent machines are perfectly suited for integrating new rules and logic to the AI frameworks, so you can utilize them for initial training/setup, proper maintenance, and tuning.
Decision management has already been considered into a multitude of corporate applications to support and execute automated decisions, enabling your business to be as profitable as possible.
AI to drive the content creation process
Popular content-driven organizations like CBS, USA Today, and Hearst have already implemented the AI technology to generate relevant content. There are some organizations that offer a software-as-a-service (SaaS) platform that makes it possible for the publishers to transform the written content into video content through the process of AI video production.
Gone are the days when content creators used to invest hours, if not days, in order to create content for social media or for their websites. In this case, there are several tools that content creators can adopt, which will assist them to present fascinating videos in minutes.
The formation of deep learning platforms
Deep learning platforms involve a distinctive form of Machine Learning that is associated with artificial neural circuits and various abstraction layers. This technology is capable of imitating the human brain and helps in processing data and developing patterns to simplify the decision-making process.
It is presently being integrated to identify the patterns and categorize the applications that are only aligned with large-scale data sets.
The implementation of AI modeling and Digital Twin
A digital twin is a software system that attempts to mend the gap between the digital world and physical systems.
For instance, General Electric (GE) is creating an AI workforce that oversees its locomotives, aircraft engines, and gas turbines, and also anticipates the shortcomings with cloud-hosted software systems of GE’s machines. These digital twins are primarily the lines of software code. But the most detailed versions resemble 3D computer-powered design drawings laden with interactive graphics, diagrams, charts and data points.
Creating a transparent system with peer-to-peer network
Organizations like Facebook have already integrated statistical modeling to support machines in making proper decisions about what content to show to the viewers. To make sure that the models function appropriately, they need humongous amounts of details and considerable computing power.
With the emergence of peer-to-peer networks, like the ones adopted by cryptocurrencies, even relatively small organizations will have the capacity to operate advanced AI programs by channeling the collective force of personal computers.
AI for Emotion Recognition
The AI technology allows the software to decipher the emotions on a human face with the assistance of audio data processing or image processing technique. In fact, it’s actually possible to catch the “micro-expressions,” or the subtle body language changes, and vocal intonation that gives off a person’s feelings.
Law enforcers and administrators can adopt this technology to try and extract more information about someone during the process of interrogation. Other than that, you also have a wide array of applications for marketers.
There are countless startups which are working in this area. These organizations are attempting to analyze audio inputs to describe a person’s characteristics. For instance, determining how positive, or excited, anxious or upset they are. Some startups also use emotion video analytics to encourage new product ideas, recognize the upgrades and enrich the consumer experience.
Robotic Processes Automation
Robotic processes automation employs methods and scripts that replicate and automate human tasks to assist the corporate operations.
It is specifically useful for scenarios when recruiting candidates for a specific job or task turns out to be too expensive or inefficient.
There are companies that have implemented AI programs that automate digital advertising systems, thereby saving the businesses from sparing countless hours to repetitive and mechanical tasks.
Wrapping it up,
The explosion of AI technologies is not at all surprising today. AI’s significance for business has been amplifying with the sheer number of organizations that are now trying to integrate it. So, it would be difficult to think that one day, the organization will probably be unable to function optimally without it.