Given the array of ongoing challenges businesses face, including those posed by hybrid work and COVID-19, business automation is more important than ever. In large organizations, many business units have long been using robotic process automation (RPA) to automate simple manual tasks such as copying and pasting data. While RPA can address local needs quickly and easily, it can’t scale to deliver the complete end-to-end automation, also called hyperautomation, that modern companies need.
Similar to the momentum that cloud technology has had in the business world, AI and machine learning are quickly becoming essential to the enterprise. 86% of companies now view AI as a “mainstream technology,” and corporate AI adoption rose 50% in 2021 from the year prior for initiatives such as service-operations optimization and product enhancement.
The benefits of moving your on-prem Spark Hadoop environment to Databricks are undeniable. A recent Forrester Total Economic Impact (TEI) study reveals that deploying Databricks can pay for itself in less than six months, with a 417% ROI from cost savings and increased revenue & productivity over three years. But without the right methodology and tools, such modernization/migration can be a daunting task.