Powered by advanced machine learning, deep learning, predictive analytics, natural language processing and smart data discovery, SalesForce has a created Einstein. Einstein learns from all that data to deliver predictions and recommendations based on your unique business processes.It automatically customizes these analysis for every single customer. it learns, self-tunes, and gets smarter with every interaction and additional piece of data resulting into better sales.
With more than 150 years of experience, American Express have once again kept itself well ahead of others by adopting Machine Learning/AI based tools a lot sooner than others. Having a lot of data to feed the machine learning models, American Express is using them very effectively in the areas of Risk Assessments, Customer management , customer marketing, Information management, Fraud detection, investment decisions, loyalty marketing etc.
Creating an Uber like application that provides seamless, impactful experience for its customers is a tedious task. To fulfil this vision Uber invested heavily in machine learning and AI. They created an internal ML platform known as Michelangelo. It is designed to cover all aspects of machine learning workflow, that includes manage data, train, evaluate and deploy models and make predictions. Though used only internally, Michelangelo is said to have made ML-as-a-service as easy as booking a ride for its engineers.
Netflix feeds data regarding —'what' its subscribers watch, 'when' they watch and popularity of videos into several algorithms powered by machine-learning. This helps them understand audience’s interest, find a niche audience for a particular content, recommend next movie or show on a personalized basis and a curated content for each of its member. This results into saving of a lot of advertising cost and ultimate customer delight. Their machine learning models use both supervised (classification, regression) and unsupervised (dimensionality reduction, clustering) approaches.
Google provides pre-trained models, libraries (Tensorflow) and machine learning APIs for image search, NLP etc ready to be integrated into your business.
Amazon provides tools e.g "Rekognition" for image recognition, Lex for NLP and "Amazon ML" to create Machine Learning models.
Microsoft provides powerful APIs enabling mobiles apps to have smart features e.g. emotion and sentiment detection, vision and speech recognition etc.
Watson, by IBM, can be used to understand your data, get personalized recommendations, create chatbots and discover new insights.
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