Amazon SageMaker Canvas simplifies the complex programming process of the past with a visual point-and-click interface, allowing users to upload data, train models, and perform predictions without ML experience. Accelerates the creation of instant personalized user experiences at scale: Amazon Personalize does not require ML expertise, allowing developers to easily build instant personalized recommendations to provide optimal computing services to customers in industries such as retail, media and entertainment. Automatically capture printed, handwritten, and data: Amazon Textract uses optical character recognition to read and process any type of document using ML, accurately capture text,
handwriting, forms, and other data bulk sms service without any manual effort . Execute and scale big data workloads with ease: Amazon EMR uses open source analytics frameworks such as Apache Spark, Apache Hive, and Presto to run large-scale distributed data processing jobs, interactive SQL queries, and ML applications. Join the AWS Proof of Concept (POC) program today and receive $300! What other advantages can artificial intelligence technology bring? AI technology has penetrated into manufacturing, logistics, e-commerce, retail sales, games, and even the financial industry. If you are still hesitant, you may wish to check whether your product or service has the following demand scenarios: Optimize user experience: Improve personalized recommendation on web pages, optimization of shopping/return process, intelligent customer service assistant, etc. Improve order conversion rate:
Optimize recommendation modules such as homepage, product detail pages, and checkout pages, optimize push content and lists, and increase product clicks on category pages and search result pages. Reduce management/development costs: maximizing profits from promotional discounts, forecasting new product development, managing distribution channel demand, predictive maintenance of equipment, and shelf analysis. Improve user stickiness: Personalized level/gift pack/reward recommendation, prolong usage time, and improve user retention. Customer and process management: false data and account exclusion, user label classification, file asset identification and inventory. The above demand scenarios are only a small part of common AI technology applications.