March 8, 2023
Demand for analytics and data science shows no signs of abating. As organizations digitally transform business applications and processes from legacy systems to agile software and scalable cloud services, one of their major goals is to increase the role of analytics and artificial intelligence (AI), including machine learning (ML).
However, many organizations are struggling to hire and develop the talented people they need to achieve business goals with analytics and data science. Will data democratization come to the rescue? No-code solutions with drag-and-drop interfaces are appealing at first because they promise an easier path. However, the solutions’ limitations are problematic for users trying to unlock the full value of data.
Download this TDWI Playbook to learn how you can successfully scale your advanced analytics with code-first data science.