Moving from BI to AI

Business intelligence (BI) remains the staple of data analytics. In BI, organizations collect raw transactional from a myriad of data sources and ETL it into a format that is conducive for building operational reports and enterprise dashboards, which depict the overall enterprise over a past period. This also helps business executives make informed decisions on the future strategy of an organization. However, if the amount of transactional data that's been generated has increased by several orders of magnitude, it is difficult (if not impossible) to surface relevant and timely insights that can help businesses make decisions. Moreover, it is also not sufficient to just rely on structured transactional data for business decision-making. Instead, new types of unstructured data, such as customer feedback in the form of natural language, voice transcripts from a customer service center, and videos and images of products and customer reviews need to be considered...