In today’s rapidly evolving digital landscape, multiple technological innovations, market changes and business
demands have coincided to change how data needs to be moved, stored, processed and analyzed:
To respond to the breakneck pace of business and intensifying competition, enterprises need to
uncover real-time, actionable insights without sacrificing accuracy or quality.
DATA SPEED AND SCALE
As data from all sources (including streaming and transactional) and formats (such as sensor, image, text,
video and audio) pours in, businesses have to find a way to process and monetize it – quickly.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
AI and ML have become critical to quickly deriving real-time, actionable insights from massive volumes
of continuously streaming data.
FLEXIBILITY AND AGILITY
With both the data and analytics infrastructures constantly growing and changing, enterprises need
the ability to efficiently scale and conform to shifting requirements.
BUILDING THE BUSINESS
All of the above has to happen with respect for the usual business imperatives – lower costs,
higher productivity and faster time-to-market.