Next generation data analytics at IBM research

Abstract

IBM Research has a rich history of innovation in information management with several revolutionary breakthroughs, including the invention of relational databases, advanced text analytics demonstrated by Watson, and the first data mining algorithms to name a few. IBM Research has been committed to contributing to the community via seminal papers, exemplified by several 10-year awards received by IBM researchers. This short abstract is intended as a quick tour of some of the current information management projects, and not meant to be an exhaustive list by any means. There has been many disruptive technological developments over the last decade. The emergence of cloud computing, and several large scale data processing platforms, advances in on-line social media, the explosion of data volumes, and the advances in hardware have all forced us to rethink the information management architectures and platforms. Today, enterprises are dealing with myriad of data modalities (unstructured, semi-structured, and structured) and very complex and diverse analytics on ever-expanding data volumes to drive business decisions. At IBM Research we are reinventing classical data management solutions to this high speed and volume demand (Section 2), building complex analytical platforms for end-to-end analysis of data (Section 3), building technologies for supporting large scale analytics (Section 4) and graph data (Section 5), as well as solutions that exploit new hardware (Section 6).