In a bid to win the race to Insight, IBM itself has undergone a major transformation in its Data and Analytics product portfolio. At #IBMInsight, IBM Executives each day organized several Keynotes and Super Sessions to unveil their ever-evolving approach to modern day data architecture, where Analytics and Cloud are integral components of a transformational data infrastructure.
The Future of Big Data
With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.
IBM’s Data Platform now reflects the convergence of “smart” Analytics, Machine Learning, Big Data paradigms, Cognitive and Natural Language Processing along with Cloud technologies. IBM Data and Analytics Platform is now built on Spark (bringing that Open Source flexibility and feasibility to the Enterprise), supports hybrid architectures (on premise and on the cloud) with agility built into the simplicity of this transformed data infrastructure.
One of the coolest features of this platform is self-initiated Discovery using natural language to interrogate and interact with the underlying data structures. Additionally, instant fusion of temporal and geospatial awareness and single-click integration with an existing Data Warehouse or Repository make this Platform very alluring from a personalization and customer-centricity standpoint.
