As an e-commerce platform, don’t you feel your customers are spoilt for choice? Whether it be groceries, accessories, home decor, or anything under the sun, consumers are exposed to unlimited options. This makes the decision-making process relatively more complex. So how can you make your customer’s life easy? Of course, through AI-powered product recommendations, so that they finalize what to buy based on ‘what’s trending’, ‘‘top sellers’, etc. 

Buzzwords like ‘Big data’, ‘Machine learning’, and ‘Artificial Intelligence’, are now being used on a day to day basis and there’s a reason for it. The solutions offered by Artificial Intelligence makes a big impact on organizations, especially industries like E-commerce. Online stores have access to a huge amount of customer data and can use it to optimize their services. Machine learning helps in that by using digital data at a quicker rate.

We generally categorize everything that we come across in life, for example, we group books, music, and movies into specific genres based on their special characteristics. Digitization has helped apply the same concept to online content such as web pages, blog posts, news, e-books, and other learning content. With the immense increase in online availability of information, data needs to be found easily and analyzed faster. This is where content categorization steps in.

As a digital publisher, you constantly face the challenge of attracting a loyal online audience to build a successful brand. The best way to address this problem is by providing impactful and personalized content that keeps the user engaged. Most publishers use content recommendation systems to enhance user experience, increase page views, and improve site ranking. 

One of the biggest challenge faced by e-commerce companies is to bridge the gap between human thought process and autonomous technology. Natural Language Processing or NLP is a big step in this direction. It makes use of the enormous data generated every day, and organizes it properly to generate relevant search results.

Nowadays, NLP in e-commerce platforms is used for extracting attributes and improving product search. Hence consumers get to see relevant products matching their requirements when they shop online. Advanced NLP-based sorting systems enhance the online shopping experience by understanding the behavior of target customers.

Computer vision in Artificial intelligence describes solutions that enable computers, software, or devices to analyze and categorize images. It gives machines the power to understand what they see and systematically arrange the data, giving them the capability to react to the information provided. Computer vision AI makes a machine view the world as humans.

Natural Language Processing (NLP) has become more than an emerging technology. It has multiple applications in businesses today and is being widely used in various industries. NLP tools understand the meaning and context of phrases and provides automated support. They can be incorporated in any feature involving language, including online search, extract meaning, generate text, summarize a long document, or detect spam email.

Computer vision applications in healthcare - Diagnostic applications, medical imaging, Clinical trial attrition reduction, Surgery accuracy improvement and more will be discussed in this article.

Buying a new property involves both financial risk and emotional quotient. Earlier, people used to spend a lot of time to shortlist and finalize their dream property. But in the era of digitization, the entire process has become highly streamlined, automated and accurate. The real estate business is much more than just a ‘perfect house’ in an exotic location. It deals with huge volumes of data in terms of buyer/seller preferences, financial and risk-taking capabilities, etc. The real estate business is leveraging the power of machine learning to reap tangible benefits. By embracing emerging technological trends the industry is able to cater to the rapidly changing consumer demands.

Social media marketing is now crucial for businesses to remain competitive. Facebook and Twitter allow companies to spread the word about upcoming products or events and provide customer support on their platform. Instagram can be used to showcase products to over 500 million people active on the app at least once a day. Customer support on social media is preferred by about 63% of people, as compared to phone or email. Due to these platforms, businesses can engage with customers and maintain a relationship with influencers. They educate companies on how customers feel when they buy their product, ways in which they’re using them, and helps generate ideas on new business opportunities.