Classification and Regression Using Supervised Learning 3 (Logistic Regression classifier)

Logistic regression is a technique that is used to explain the relationship between input variables and output variables. The input variables are assumed to be independent and the output variable is referred to as the dependent variable. The dependent variable can take only a fixed set of values. These...

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Classification and Regression Using Supervised Learning 2 (Label encoding)

While performing classification we often deal with labels which can be in the form of words, numbers, or something else. The machine learning functions in sklearn expect them to be numbers. So if they are already numbers, then we can use them directly to start training. But this is not usually the case as in real world, labels are in the form of words, because words are human readable. We label our...

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Classification and Regression Using Supervised Learning 1 (classification)

The process of classification is one such technique where we classify data into a given number of classes. During classification, we arrange data into a fixed number of categories so that it can be used most effectively and efficiently. In machine learning, classification solves the problem of identifying the category to which a new data point belongs. We build the classification model based on...

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CRM Artificial Intelligence Trends across Salesforce

The amount of data companies have on customers and the number of channels customers are using to interact with businesses have grown significantly in the past decade. Artificial intelligence may hold great promise in optimizing customer and client interactions. The five largest Customer Relationship Management (CRM) vendors by market share in 2015 were Salesforce, Oracle, SAP, Adobe Systems, and...

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CRM Artificial Intelligence Trends across Oracle, SAP

Oracle  Oracle announced the launch of their Intelligent Cloud Applications the exact same day Salesforce announced Einstein. At the time, Oracle’s project leader told they were “trying to avoid the hype and build apps that people can buy, use and make money with.”  Instead of creating a single, all-encompassing new “AI brand,” Oracle has been focused on specific AI and machine learning...

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Best Examples Of Using Artificial Intelligence For Retail Experiences

Artificial intelligence has the potential to completely transform the traditional retail experience and take it to the next level with personalization, automation and increased efficiency. And it’s already happening! Here are 20 of the best examples of AI to improve the retail experience. 1. Lowes Uses Robots To Locate Items Navigating a hardware store can be difficult, but Lowes created the LoweBot...

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Examples of how AI integrated in the retail industry

Innovation is a double-edged sword, and as with any innovation results are a mixed bag. While many AI applications have yielded increased ROI—this case study of AI in retail marketing segmentation is one example—others have been tried and failed to meet expectations, shining a light on barriers that still need to be overcome before such innovations become industry drivers. Below are a few brief...

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Will AI change the game for retailers?

Over the last few years, artificial intelligence technology has made some interesting advancements across multiple industries. While it may not be so obvious to the end consumers, artificial intelligence has been applied in the retail sector as well. Even though not every retailer has been using it due to high costs, inaccessibility, and proprietary systems, the largest players in the retailing have...

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AI in retail

With consumers expecting premium levels of service at the press of a button, it’s vital that businesses in the retail industry are at the cutting edge of technology. Expectations are higher, and competition is fiercer than ever, and as such, innovation and industry disruptions are more necessity than...

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