Machine Learning and Its Impact On Various Industry Verticals

June 15, 2018
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Machine learning (ML) and data science are having great impact on business of today and are also becoming critical for survival in the competitive market. Having the ability to quickly categorize the potential impacts using data and analytics always helps to drive better results. Today, machine learning algorithms are widely used in various industries from recognizing handwriting, identifying faces, driving cars to translating texts and etc. From there, machine learning is now moving towards education, social and medicine. All these diverse areas are using ML to solve different types of business problems.

The impact of ML is so high that it is believed that the future marketing will consists of tech savvy marketers who will work in collaboration with ML based automation entities. The techniques are used to solve many issues and it is an exciting concept that enables computers to figure out things for themselves. The computer also applies pre-configured riles in order to perform complex calculations. The technology leverages the cloud and helps to maximize cost and speed effectiveness.

1)- Data Visualization:

Different types of data are generated in a business and the ability to visualize the relationships in the data helps businesses make better decisions and this in turn helps to build confidence. There are various tools available that offer rich snapshots of data, which can be applied to unstructured and structured data. Interpreting the underlying data is very helpful and it is expected to see more user-friendly data visualization platforms and widgets that are interpreted and arranged through machine language offering new insights and increasing the productivity of the process.

2)- Better Insight into Consumer Behavior:

KPI analysis and report generation will continuously become increasingly automated. The effectiveness of your team will be accurately monitored by the computers and similarly the consumer behavior. Generating actionable customer insights with AI will become easier and this will also help to predict the future consumer trends. People are happy to share even their personal information if they get a personalized shopping experience that predicts their needs. The analytics are important because they empower businesses to offer a more customized experience and can adopt important strategies that can be effectively met. Marketers should deploy AI and start using it for cleaner decision making in the future.

3)- Content Management:

Another most critical means to engage your audience is to drive engagement and forge a long lasting customer relationship by starting a meaningful conversation with the targeted customer base. As businesses aspire to engage more and more in valuable conversations with the customers, Machine Learning will be critical in analyzing particular phrases, sentences, idioms and content formats that are best with specific audience members. ML helps to generate source content that the visitors will be interested based on the objects that they have already pinned. ML will prompt a development in lexical analysis and this will enable the marketers to personalize their content to improve the engagement.

4)- Ultimate Control Over Varied Aspects:

Besides helping traditional problems like decision making and recruitment and etc. ML helps to enable new business models for old industry verticals also like car manufacturing companies and etc. The sensor technology now helps to have complete control over various aspects and the environment. It collects millions of sensor readings that humans could have never gathered. These sophisticated readings help to take better decisions and act smarter and faster.

“To conclude, we can say that it is by embracing the potential of ML, that you can get greater insights about your business and can help in taking better decisions for your business that will make a real impact into the future.”