After almost a year in beta, Adobe has introduced Query Service and Data Science Workspace to the Adobe Experience Platform to enable brands to deliver tailored digital experiences to their customers, with real-time data analytics and understanding of customer behavior.
Powered by Adobe Sensei, the vendor's AI and machine learning technology, Query Service and Data Science Workspace intend to automate tedious, manual processes and enable real-time data personalization for large organizations.
The Adobe Experience Platform -- previously the Adobe Cloud Platform -- is an open platform for customer experience management that synthesizes and breaks down silos for customer data in one unified customer profile.
According to Adobe, the volume of data organizations must manage has exploded. IDC predicted the Global DataSphere will grow from 33 zettabytes in 2018 to 175 zettabytes by 2025. And while more data is better, it makes it difficult for businesses and analysts to sort, digest and analyze all of it to find answers. Query Service intends to simplify this process, according to the vendor.
Query Service enables analysts and data scientists to perform queries across all data sets in the platform instead of manually combing through siloed data sets to find answers for data-related questions. Query Service supports cross-channel and cross-platform queries, including behavioral, point-of-sale and customer relationship management data. Query Service enables users to do the following:
- run queries manually with interactive jobs or automatically with batch jobs;
- subgroup records based on time and generate session numbers and page numbers;
- use tools that support complex joins, nested queries, window functions and time-partitioned queries;
- break down data to evaluate key customer events; and
- view and understand how customers flow across all channels.
While Query Service simplifies the data identification process, Data Science Workspace helps to digest data and enables data scientists to draw insights and take action. Using Adobe Sensei's AI technology, Data Science Workspace automates repetitive tasks and understands and predicts customer data to provide real-time intelligence.
Also within Data Science Workspace, users can take advantage of tools to develop, train and tune machine learning models to solve business challenges, such as calculating customer predisposition to buy certain products. Data scientists can also develop custom models to pull particular insights and predictions to personalize customer experiences across all touchpoints.
Additional capabilities of Data Science Workstation enable users to perform the following tasks:
- explore all data stored in Adobe Experience Platform, as well as deep learning libraries like Spark ML and TensorFlow;
- use prebuilt or custom machine learning recipes for common business needs;
- experiment with recipes to create and train tracked unlimited instances;
- publish intelligent services recipes without IT to Adobe I/O; and
- continuously evaluate intelligent service accuracy and retrain recipes as needed.
Adobe data analytics features Query Service and Data Science Workspace were first introduced as part of the Adobe Experience Platform in beta in September 2018. Adobe intends these tools to improve how data scientists handle data on the Adobe Experience Platform and create meaningful models off of which developers can work.