Adaptive: Bridging The Gap Between Small And Big Data
Structured, semi-structured, unstructured, Linked, Cloud, Internet, Farm, Lake – terms associated with traditional and non-traditional forms of data types and access that together bridge nearly every type of IT architecture and data management process the past 40 years. With each passing year, new technologies and methodologies hold the promise of unlocking new levels of business value. Head quartered in Irvine, CA, Adaptive bridges the gap between Small and Big Data by leveraging the knowledge embedded in existing simple and complex systems, present it in a common understandable format and provide collaborative governance from which new solutions can leverage, measure and guide. Jeff Goins is the President and Chief Executive Officer of the organization.
Adaptive believes that in order to successfully govern and navigate the operational complexities of any system (simple or complex) organizations must have a strong understanding of how their metadata enables visibility. Clear visibility of current state drives successful implementation of new paradigms.
Adaptive views key tenets such as ontologies, semantics and rules based decision support as being ‘metadata complementary’, providing the ability to both semantically link IT with the business and further, link the business with industry compliancy / regulation / internal standards.
Adaptive’s solutions are very unique in the market because they provide an integrated metadata and semantic approach, ensuring system independence while retaining and expanding upon knowledge. The knowledge is best represented through structural frameworks describing data and their relationships, also known as ontologies. With Adaptive, ontologies become the core component, leveraging their rich history of metadata success in stitching, mapping, classifying, tagging, rules and transformations. In addition, Adaptive’s ontologies are built on standards such as OWL and RDF, allowing for standards based integration with 3rd party Semantic Web components.
Adaptive is seeing an increase in opportunities to bridge the gap between the Structured Data and Unstructured data environments, bringing context and provenance to data that makes analytics faster and more reliable. Adaptive allows users to put a governance framework in place to enable organizations to properly manage, govern, and analyze Big Data initiatives.
Adaptive is working with many fortunes 500 clients leveraging their solution offerings. Client representatives are included in the financial services, telecommunications, insurance, energy, retail, pharmaceutical, government, and airline industries where Big Data solutions are rapidly expanding and needed.
Elaborating on a case study that brought benefits to one of their clients, Jeff says “The Adaptive platform was instrumental in allowing a tier 1 bank to harvest and govern twelve silo-centric financial applications including their supporting data sources to determine end to end data lineage analytics.”
This allowed the bank to provide a knowledge data management solution to ensure they could transform these costly redundant applications into an enterprise-wide capability, reducing massive amounts of cost and recurring maintenance overhead. Within a year, the bank had implemented the Adaptive platform to support thousands of requests for data analytics and established a data governance process which detected redundancy and ensured proper reuse on a holistic scale.
Adaptive will continue to focus on bringing the semantic layer to Big Data initiatives and providing data governance solutions. They will work with key partners who want to leverage the Adaptive expertise and solutions within their practices. Adaptive’s platform will be a key platform for Big Data solutions and will continue to integrate seamlessly with many other leading technology solutions which provide complementary offerings.