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|July 10th, 11:00am EDT|
Semantic Data Virtualization: Extracting more value from data silos
Featuring Syngenta’s report on its successful pilot
All large organizations are aware that they do not have ready access to all of the value contained in the data within their various systems. They also recognize that the key limiting factor to realizing this value lies in integrating distributed data so it can be readily explored and queried.
Creating a physical repository to integrate a particular collection of data – a traditional data warehouse – is both slow and costly. The physical distribution of the data across many systems built using different technologies requires a sequence of technology-centric tasks before the data can be presented to the domain experts most able to interactively query it to discover potentially valuable connections. In addition, when the data exploration findings dictate the need for new data (and metadata) from other data sources, the additional time and cost involved to integrate them are often too expensive. In other words, the physical data integration strategies don’t offer much needed agility and economy.
Join our webcast to learn about a new approach to data virtualization and federated query that uses semantic technology to present data from multiple sources as if it were within a single place.
During this webcast:
- Tim Eyres Syngenta’s Data Engineer Lead in Data Sciences will discuss how Syngenta partnered with TopQuadrant to implement a new approach to data virtualization that presents data from multiple sources as if it were within a single place. He will show how they used semantic technologies to join multiple sources of data including public domain bioactivity data with Syngenta corporate data and commercial patents indexes. The resulting linked data was used to support mode of action, spectrum and selectivity competency questions used in herbicide discovery.
- Charlie Mead, M.D., M.Sc., Co-chair of the W3C’s Healthcare and Life Sciences Semantic Web Working Group, will share his insights on the difference semantic technologies make in delivering value from a multitude of data sources.
Join this webcast to learn how these capabilities can:
- Speed the retrieval of the desired information from weeks to days
- Decrease the effort necessary to integrate data
- Improve quality of the results leading to significant savings and business benefits
When: Thursday, July 10th, 2014 @ 11:00am EDT
Who Should Attend: Business analysts, data analysts, information scientists, line-of-business managers and information users from organizations of all sizes who are interested in improved access to information.
Information scientists in Pharma, Health Care and Life Sciences may be particularly interested, as the Syngenta pilot study featured in the webcast will resonate with these industries.
What You’ll Learn: Join our industry and technical experts to gain insights into an agile, extensible way to rapidly bring together and query all your data—from any source and in any format—in order to:
- Liberate your users to focus on real world problems and discoveries
- Have the infrastructure figure out how to query multiple data sources (within and outside your company) and bring information together into a coherent whole
- Be able to ask questions that you didn’t know in advance
- Make discoveries and gain enhanced perspectives that inform winning decisions
Tim Eyres is Data Engineer Lead in Data Sciences at Syngenta AG, Basel. He has a background in computer science, bioinformatics, investment banking and life sciences. As Data Engineer Lead for R&D IS Tim’s role is to maintain and grow the data engineering and operations of R&D and Syngenta. This includes the design, development, delivery and operation of a sustainable data operating model to support the many data dependent in-silico processes across Syngenta. For more information see www.linkedin.com/in/timeyres
Dr. Charlie Mead
Dr. Charlie Mead is currently Co-chair of the W3C’s Healthcare and Life Science Semantic Web Working Group. In that role, he has led the education and recent adoption of Semantic Web tools and technologies in both HL7 and CDISC including spearheading discussions around the ability of semantic technologies to support much-needed computable semantic interoperability and data/information integration across the multiple domains and contexts.
Dr. Mead is currently involved in several projects focused on using semantic technologies to build infrastructure and applications addressing data integration problems in the healthcare and life science domains. These include a project with the leading European provider of medication-based clinical decision support information, and another with the US Federal Drug Administration (FDA) elucidating the value proposition of defining their next-generation Therapeutic Efficacy for standardizing clinical trial data/meta-data submissions on semantic technologies. The FDA project is an outgrowth of the CDISC2RDF and FDA-PhUSE (Pharma Users Software Exchange) projects that initially demonstrated to FDA the potential of semantic representations of submission standards.
Dr. Mead has a Masters in Computer Science and is a trained physician who spent 10 years in clinical practice. He has over 35 years of experience in healthcare and life sciences informatics and thus brings several decades of hands-on experience in both commercial and government-based healthcare-centric, standards-aware software development.