Insight

Artificial Intelligence: The Future of Work

Artificial Intelligence is a branch of technology that is currently popular and in recent years, this technology has helped human life in various aspects. This article will discuss the branches of Artificial Intelligence and how these branches produce provide convenience for human life.

Understand the Predictions of Machine Learning’s Future

Machine Learning is a branch of Artificial Intelligence with the ability to access existing data at their own command. For organization, machine learning can be utilized to enhance the customer experience, transform business operation, and even predict results from complex data. By seeing its advantages to predict future trend through data, organization should also understand the predictions on the future of machine learning itself

First, machine learning will be embedded in most applications and on a variety of devices, including mobile devices and IoT hubs. Then, trained data as a service will become a prerequisite. After that, machine learning as a service will grow showed by a variety of machine learning capabilities that are delivered via the cloud. Next, more automation will streamline machine learning pipelines automating which give less-technical employees access to machine learning capabilities. Lastly, machine learning will begin as an end-to-end process from a development and operations perspective.

Six Natural Language Processing Use Cases for Business

Natural Language Processing or NLP is a branch of artificial intelligence that deals with the interaction between computers and humans using natural language. It has objective to read, decipher, understand, and create a sense of human languages to produce valuable information. There are several trending use case examples where organization could implement NLP to the business. These use cases are Chatbot, Sentiment Analysis, Hiring and Recruitment, Market Intelligence, Advertising, and Creditworthiness Assessment

Chatbot uses NLP as its core to analyze, understand, and prioritize complex questions as well as enables bots to respond customer queries faster than a human being, meanwhile sentiment analysis utilizes NLP to increase customer loyalty, drives business changes, and achieves an appropriate return on sales and marketing investments. Next, hiring & recruitment can utilize NLP to significantly speed up candidate searches, filter relevant resumes and create bias-proof and gender-neutral job descriptions

Moreover, in market intelligence, NLP helps marketers stay informed of what their competitors are up to and be aware of the latest trends to finetune their strategies. After that, NLP helps advertisers identify new audiences that potentially interested in their products by analyzing their digital footprints such as social media, emails, search keywords, and browsing behavior. Lastly, NLP algorithms also help in conducting creditworthiness assessment to derive insights from customers.

Benefits of Neural Networks in Business

A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks refer to systems of neurons, either organic or artificial in nature and it could provide some benefits for organization.

Neural Networks can help organization divides the market into segments by economic status, purchasing patterns, and so on. It also can implement a few tasks simultaneously, so its use in retail can be invaluable. After that, in finance, neural networks can create predictions for a lot information that goes through a network and its predictions will be more accurate time after time. Then, for insurance, a neural network application can help organization divides customers into groups to form pricing for each customer individually. Lastly, operations management is also benefit from neural networks where it can help organization in its operations management process, assist in optimization, detection of defective products and others.

Things You Need to Know About Computer Vision

Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. It enables computers to identify and process objects in images and videos in the same way that humans do. Computer vision divides the image into pixels and assigns a number to each pixel. Computer vision can inspect hundreds, or even thousands, of images per minute and nowadays, Instagram filters is an example of computer visions most popular instances that relies on facial recognition technology.

Conclusion

By understanding the advantages of Artificial Intelligence, it will be more effective for organizations if Artificial Intelligence can augments the human managers in order to help organization and human lives in general become better in the future.

References

1. Benefits of Machine Vision. Retrieved From: https://www.cognex.com/what-is/machine-vision/benefits
2. Computer Vision: What Are The Advantages And Disadvantages. Retrieved From: https://www.itexico.com/blog/computer-vision-what-are-the-advantages-and-disadvantages
3. Evolve Machine Learning., (2019). Retrieved From: https://medium.com/evolve-machine-learners/mengenal-machine-learning-6c4a48db48b0
4. Hiren Dhaduk., 2020. Retrieved From: https://www.dataversity.net/everything-you-need-to-know-about-nlp-and-its-use-cases/
5. Hurwitz, J and Kirsch., D. (2018). Machine Learning for Dummies. New Jersey: John Wiley & Sons, Inc.
6. Vik Bogdanov., (2019). Retrieved From: https://becominghuman.ai/8-thought-provoking-cases-of-nlp-and-text-mining-use-in-business-60bd8031c5b5
7. 7 Amazing Examples Of Computer And Machine Vision In Practice Retrieved from: https://www.forbes.com/sites/bernardmarr/2019/04/08/7-amazing-examples-of-computer-and-machine-vision-in-practice/?sh=1193e5751018
8. 10 Examples of Computer Vision Applications in Action. Retrieved From: https://www.wovenware.com/blog/2020/06/10-examples-of-computer-vision-applications-in-action/#.X7IdssgzZPY