10 Benefits of Machine Learning in E-Commerce

No matter what types of products you sell, staying competitive in e-commerce requires constant attention across multiple departments. Sales teams need to know product details, marketing teams must be mindful of popular search terms, product teams must stay on top of trends, and IT teams are responsible for making sure the site is always functional and fast. All of this will always require a certain degree of time and skill, but some tasks, especially the most repetitive ones, can be better handled with machine learning. 

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Personalization in B2B Ecommerce Using Machine Learning

From fashion to farming, every industry must adapt and reinvent. Businesses must make sure that they make the necessary changes to remain relevant. Thus, the need to apply Artificial Intelligence in daily processes becomes a necessity.

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How to Boost E-commerce Personalization With Machine Learning

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.

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Understanding the Basics of Content Categorization

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.

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Text Analysis Using Machine Learning

In this article, we will see how to use machine learning to analyze text. Natural language processing is a branch of AI and machine learning that aims at extracting meaning out of text by using machine learning algorithms.

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Machine Learning in Real Estate- 5 Use Cases

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.

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Machine Learning in Social Media - 4 Use Cases

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.

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No Code Platform for Machine Learning

Traditional programming has been around for years, but there is a programming method that is revolutionizing businesses particularly in the area of machine learning, and that is no-code application development.

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No-Code AI Platforms: The Next Big Thing in AI Strategy

Did you know that your organization can develop world-class predictive modeling capabilities with automated machine learning that gets the job done without writing a single line of code? You read that right. No-code AI platforms are here and they’re going to streamline your business processes.

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No-Code Machine Learning Options for Non-Programmers

Are you familiar with non-technical machine learning, also known as no-code machine learning? No-code machine learning is set to create a new wave in enterprise startups by reducing the amount of time and money spent on mundane coding tasks. One of the main aims of no-code development is to create an environment for accessible non-technical machine learning. Learn why no-code machine learning is trending and how you can use a SaaS platform like Skyl.ai to become a machine learning professional who can build models in minutes without coding expertise.

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