Adobe’s Customer Experience Platform provides a place to process all of the data that will eventually drive customer experience applications in the Adobe Experience Cloud. This involves bringing in vast amounts of transactional and interactional data being created across commerce platforms. This process is complex and involves IT, applications developers and data scientists.
Last Fall, the company introduced a couple of tools in Beta for the last group. Data scientists need familiar kinds of tools to work with the data as it streams into the platform in order to create meaningful models for the application developers to build upon. Today, it made two of those tools generally available — Query Service and Data Science Workspaces — which should go a long way towards helping data scientists feel comfortable working with data on this platform.
Ronell Hugh, group manager at Adobe Experience Platform, says these tools are about helping data scientists move beyond pure data management and getting into deriving more meaningful insights from it. “Data scientists were just bringing data in and trying to manage and organize it, and now we see that with Experience Platform, they are able to do that in a more seamless way, and can spend more time doing what they really want to do, which is deriving insights from the data to be actionable in the organization,” Hugh told TechCrunch.
Part of that is being able to do queries across the data sets they have brought into the platform. The newly released Query Service will enable data scientists and analysts to write queries to understand the data better and get specific answers based on the data faster.
“With Query Service in Adobe Experience Platform, analysts and data scientists can now poll all of their datasets stored in Experience Platform to answer specific cross-channel and cross-platform questions, faster than ever before. This includes behavioral data, as well as point-of-sale (POS), customer relationship management (CRM) and more,” the company wrote in a blog post announcing the new tool.
In addition, the company made the Data Science Workspace generally available. As the name implies, it provides a place for data scientists to work with the data and build models derived from it. The idea behind this tool is to use artificial intelligence to help automate some of the more mundane aspects of the data science job.
“Data scientists can take advantage of this new AI that fuels deeper data discovery by using Adobe Sensei pre-built models, bringing their existing models or creating custom models from scratch in Experience Platform,” the company wrote in the announcement blog post.
Today, it was the data scientists’ turn, but the platform is designed to help IT manage underlying infrastructure, whether in the cloud or on premises, and for application developers to take advantage of the data models and build customer experience applications on top of that. It’s a complex, yet symbiotic relationship, and Adobe is attempting to pull all of it together in a single platform.
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