5 Examples Of Ai Services That Are Possible Today

By Author: saran
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Moving from AI services to AI-PaaS. Artificial intelligent technology is quickly gaining wide acceptance and is being applied in banking, healthcare, online security, and a variety of other sectors. However, as AI is still a capital-hungry technology, deployment it might be expensive. The good news is that it doesn't have to be. In fact, there are several ways you can use AI-based services today and save lots of money.

It's a no-brainer: apply artificial intelligence to help out with repetitive, boring tasks. There are many examples of this, from speech recognition tools to survey tools that can identify common problems and offer solutions. There are also services like task managers and visual automation systems that streamline even the most mundane office tasks and help employees be more productive. In addition, cloud service providers offer many artificial intelligence applications for use in any size business. And there is no end to the innovations that will emerge in these technologies.

Use AI solutions to automate ...
... repetitive tasks. A prime example of using AI solutions to streamline repetitive tasks is the use of classification tools. These tools categorize tasks into different subtasks and assign an employee to perform only the tasks that fall under a given classification. This helps humans to focus their time and attention on the tasks they are best suited for. Cloud services like aws's Mechanical Turk make this especially easy by making it possible for anyone to upload their own tools and use them with great ease.

Train people for new business processes. Many companies are investing in artificial intelligence and applying it to their business processes. Some companies are making it easier to train their own employees by building artificial intelligence software that can teach new hires specific skills or how to perform a specific job. Others are using these types of technologies to pre-program their employees for specific tasks in order to save time or energy.

Create consumer experiences with facial recognition systems. Some businesses are turning to AI technology to create more personalized experiences. By combining a personal assistant or virtual assistant with an artificial intelligence system, a business can allow an assistant to make purchases or suggest interesting coupons. This eliminates the need for the assistant to actually visit a business in person and receive information personally.

Work with large data sets. Many large data sets are being used by businesses across all industries for research and analysis. Researchers are able to obtain large data sets easily from a variety of sources in a matter of days. Because of this, it is much easier to apply machine learning techniques to large data sets to allow researchers to create innovative predictive models.

IBM's Watson is one of the largest and most successful AI programs. Originally developed as a medical research program, IBM is now able to commercially sell Watson's artificial intelligence capabilities. Although IBM is the leader in many of the new markets related to machine-learning, Google, Microsoft, Cisco and others are quickly following up with their own deep AI programs, like those developed by IBM.

Companies can significantly accelerate their product development processes by using artificial intelligence technology to collect and analyze large data sets. Companies that currently lack the specialized technical talent to meet these demands can use a variety of techniques, such as hiring a research firm to develop relevant research queries. A major advantage of using IBM's Watson is the wide range of businesses that it supports. No matter what type of ai technology your company is currently lacking, IBM's Watson will likely be able to help you achieve your goals.