data science workspace
Adobe Introduces AI-Powered Personalization, and Streamlined Activation Adobe Blog
It's clear today that everyone within an organization needs access to data: from the code-savvy data scientist, to the citizen analyst to a marketer. Adobe Experience Platform Data Science Workspace, announced earlier this year, works to empower everyone, regardless of their level of technicality, with AI-powered real-time intelligence. With Data Science Workspace, brands will be able to use Adobe Sensei, our AI and machine learning technology, to better personalize and understand their audience. The average US adult will spend 2 hours, 55 minutes on a smartphone in 2019, a 9-minute increase from 2018. And, just about half of that daily time spent on mobile is spent engaging on social media channels, according to eMarketer.
Adobe adds new AI tools to Data Science Workspace in Experience platform ZDNet
Adobe is rolling out AI enhancements to the Experience platform, its customer experience management service. The creative software giant said it's adding more features that draw upon its Sensei AI framework, including advanced customer personalization, product recommendations and streamlined activation. Adobe's Data Science Workspace aims to help enterprises leverage real-time data at scale. The tool lets data scientists access large datasets in the Experience platform to create, train and optimize custom AI and machine learning models using Sensei. For enterprise retailers, Data Science Workspace is also pitched as a way to analyze omnichannel data easier and more quickly.