December | 2013
Enterprises are innovating for the digital economy and data has become the fulcrum of innovation. Data centric innovations can deliver a wide range of business benefits - customer satisfaction, productivity, cost control, dynamic and personalized products and services and discovery of business insights. When such a fundamental shift is happening with data, there seems to be a contrast in the way information solutions are built within the enterprise and on the internet which is the nervous system of the digital economy.
The technologies of internet search engines and enterprise knowledge systems are creating breakthrough applications and thus driving innovations for dynamic search within the enterprise. The needs of an enterprise for the digital economy is to provide the right information on demand to people playing varied roles in the enterprise and answer questions with speed and agility. The technologies and architectures would need to break the data silos, understand the context of the business domain and the business processes that generate the data and deliver this through thin line interfaces like the internet search engines. One can map this need to four key principles: discovery, find-ability, understanding, and dialogues. The intersection of these would give the enterprise areas to innovate for the digital economy.
Let’s look at these 4 principles in detail and see how they aid to creating a scalable and an intuitive information management system.
The enterprise knowledge systems designed around these four key principles will be driven by tools for data virtualization, semantic search, ontologies, and natural language processing. These systems will provide an abstraction layer, above existing data management technologies, enabling enterprises to bridge the gap that separates data, content, and processes. This offers a more intelligent, relevant, and responsive interaction than the deployment of standalone information technologies in isolation.
I believe this new-age digital information architecture will fundamentally disrupt how enterprises deal with information, democratizing data, augmenting intelligence and providing understanding and insights. What are your views? Do write in.
RamPrasad K R is the Chief Technologist for Artificial Intelligence and he created the vision for the AI platform and heads the HOLMES platform engineering and solutions development. A long-timer at Wipro, Mr. RamPrasad has built teams with unique skills, passion and commitment. Known for his technology leadership and inventive ability to create breakthrough solutions. Rampi has incubated several new technology competencies in Wipro which have become mainstream practices. Early stage incubation discovering and creating technology applications and solutions to the various problems faced in this era of massive urbanization is his hobby. He works closely with Academia on several next generation technology projects and joint researches.
RamPrasad has been part of review panel for global research organizations and is a frequent speaker in business and technical forums.
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