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Bridging from Semantics to Analytics Conference

Wednesday, September 25th, 09:00 - 16:45


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0900 - 0910 Welcome & Introduction

Richard Mark Soley, Chairman & CEO, Object Management Group

0915 - 1015 MORNING KEYNOTE: Market Practice Standardization Makes Perfect  DOWNLOAD SLIDES    DOWNLOAD AUDIO

Corby Dear, Bloomberg BBGID and Open Symbology Project Manager, Bloomberg

Proprietary trading environments may have worked well in the past, but they're a remnant of a time when data systems operated largely as islands that didn't have to work with other systems. Today we work in a different world. Markets, customers and governments demand greater connectivity, transparency and efficiency. The openness of Internet-based systems has profoundly altered the way businesses - and individuals - collect, manage, and share information. Thus, in addition to new regulations that demand clarity and accountability, the move to open symbology - a common set of symbols we can all use and understand - is driven by growing investor and institutional demands.

The goal of Bloomberg Open Symbology and BBGID is to create transparency in financial markets, reduce data management costs and promote efficient integration. Users will be able to leverage the identifier for a variety of functions including mapping, facilitating settlement, and clearing.

Bloomberg Open Symbology (BSYM) has made its symbols openly available at no charge, with no material impediments on redistribution. At the forefront of this initiative is our global security identifier, the Bloomberg Global ID (BBGID).

As we move forward with establishing BBGID as a standard in the marketplace, we are beginning development of a robust semantic model in SBVR that will capture the relationships inherent within the BBGID model.

1015- 1030 Morning Refreshments
1030 - 1115 Prerequisites for Analytics: Data Stewardship and Data Sharing  DOWNLOAD SLIDES    DOWNLOAD AUDIO

Stan Christaens, Co-founder and Chief Operating Officer, Collibra

Visualization and mining algorithms can provide tremendous insights in data, and business users can use those to take the right actions and make the right decisions. New functions (e.g., data scientists) and skills (e.g., Hadoop) are essential, but they are also hard to come by. It can be a big disappointment to learn that the data scientists can't figure out what "Customer" means, where that data can be found or shared from, or even who is responsible for it.

So how can you make sure that analytics move from a niche experiment to a structural, competitive differentiator?
In this session we will show how Data Governance and Data Stewardship provide the right level of control and trust in data. Data Stewards are the data worker bees to achieve this operationally: managing the business glossary, curating reference data, handling classifications, taxonomies and hierarchies, setting up policies and rules, measuring compliance, monitoring quality and resolving issues, facilitating data sharing, ... They enable the process of data management.

We will make use of Collibra's Data Governance Center to show how this works in practice, and how a configurable operating model (roles, workflow, organization, ...) drives the right level of adoption and business engagement to establish a sound approach to data maturity, and turn information into a competitive differentiator.

1115 - 1200 Bringing Semantics into Today's Environment  DOWNLOAD SLIDES    DOWNLOAD AUDIO

Pete Rivett, CTO, Adaptive, Inc. and Architecture Board Member, Object Management Group

This session will outline how semantic models, such as FIBO, can be leveraged in today's business and IT environment without having to retool with semantic web technology. This will involve integration with other OMG standards such as the Common Warehouse Metamodel (CWM) and the new Decision Model and Notation (DMN).

1200 - 1330 Lunch Break
1330 - 1430 AFTERNOON KEYNOTE: Building and Sustaining an Enterprise-Wide Semantic Web Ecosystem  DOWNLOAD SLIDES    DOWNLOAD AUDIO

Ramanathan Srikumar, Senior Vice President and Head of Industry Solutions, Banking and Capital Markets, MphasiS

Using real-world semantic business models, we can now design and implement applications, services, and IT infrastructure based on a computable and standards-based knowledge fabric of metadata models that provides an enterprise governance and rules infrastructure, and serves as the master metadata interoperability model to which disparate tool-specific schemas can be aligned and from which these tool-specific models can be derived.

1430 - 1515 CASE STUDY - Mastering Enterprise Metadata with Semantic Modeling  DOWNLOAD SLIDES    DOWNLOAD AUDIO

Suresh Nair, Vice President and Chief Architect Financial Services, MphasiS

While there is a lot of work being done on using semantic modeling on enterprise data, modeling the enterprise itself can yield a much higher value. This metadata model of the enterprise can revolutionize the way applications are designed and built.

1515 - 1530 Afternoon Refreshments
1530 - 1615 PANEL DISCUSSION  - The Business Case for Financial Data Semantics    DOWNLOAD AUDIO
Moderator: Mike Atkins, Managing Director, EDM Council

David Saul, Chief Scientist, State Street Bank
Vipul Narula, Chief Architect, TD Bank
Sean Martin, Founder & CTO, Cambridge Semantics
Marty Loughlin, Vice President, Financial Services, Cambridge Semantics

Managing complexity and networked analysis with semantic, inference-based, processing supported by formal ontologies is the future of knowledge representation and the baseline for scenario-based analysis. Not only are ontologies and semantic processing necessary, but near-term implementation is feasible and can be accomplished incrementally with minimal disruption to existing infrastructure. 

1615 - 1700 PANEL DISCUSSION: Semantic Business Analytics - An Analytics Ecosystem    DOWNLOAD AUDIO
Moderator: Dennis Pierson, Semantics Architect, MphasiS

Austin Trippensee, Solutions Architect, Financial Services, YarcData
Daniel Akintonde, Data Scientist, Mphasis
Robert Clint, Vice President and Global Subject Matter Expert, Analytics, Mphasis

Today's enterprise data ecosystem is more complex than ever. The advent of Big Data and tools for processing and managing previously unavailable sources of information about our businesses, and the legal, political, and market environments we need to understand, bring a fresh set of challenges to make sense of it all to support operational and executive decision making.

This discussion compares traditional and semantic analytics and their impact on enterprise ecosystems.

 1700 - 1715 Wrap-up & Next Steps


NOTE: If you register for the Technical Meeting Week, you do not have to pay the additional fee(s) to attend any or all of the special events.  If you register only for special events, the special fees apply.

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