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Click to edit Master text styles • Click to edit Master text styles –

Click to edit Master text styles • Click to edit Master text styles – Second Level – Third Level Solving Customer Problems with Big Data across Thomson Reuters Brian Ulicny @bulicny Director, David Innovation Lab Thomson Reuters STRATA + HADOOP 2015

Click is Who to Thomson edit Master Reuters? text styles • Click to edit

Click is Who to Thomson edit Master Reuters? text styles • Click to edit Master text styles FINANCIAL & RISK – Second Level – Third Critical Level news, information & LEGAL analytics, enables transactions, and connects trading, investing, financial and corporate professionals. Critical information, decision support tools, software & services to legal, investigation, business and government professionals. TAX & ACCOUNTING INTELLECTUAL PROPERTY & SCIENCE Integrated tax compliance and accounting information, software & services for professionals in accounting firms, corporations, law firms and government. Comprehensive IP & scientific information, decision support tools & services to enable governments, academia, publishers, corporations & law firms. REUTERS NEWS Powered by more than 2, 800 journalists reporting in 20 languages from bureaus around the world, Reuters is the world’s largest international news organization THOMSON REUTERS GLOBAL RESOURCES 2

Click Overview: Data to edit Master Onetext company, styles Boehringer Ingelheim • Click to

Click Overview: Data to edit Master Onetext company, styles Boehringer Ingelheim • Click to edit Master text styles – Second Level – Third Level 48269 16268 180 86753 docs News Broker Research Bonds Fundamentals Press Releases Case Law Admin Decisions Public Records Dockets Arbitration Editorial Analysis Scientific Articles Patents Trademarks Domain Names Clinical Trials Drugs Three Vs at TR: Velocity from fractions of seconds to quarterly filings. Volume: all the data needed by target professionals Variety: multiple disparate content, formats, languages.

Click to edit Thomson Reuters Master. Data text Innovation styles Lab • Click Started

Click to edit Thomson Reuters Master. Data text Innovation styles Lab • Click Started to edit in July Master 2014 text styles – Second Level • Ph. D and MS from leading universities, MIT, Columbia, UC Berkeley… – Third Level in Finance, Government, Academia, Software and • Business expertise Hardware Technology and Life Sciences

Click. User End to edit Need: Master Peer text Detection styles • Click to

Click. User End to edit Need: Master Peer text Detection styles • Click to edit Master text styles Peer detection is a common task across customer – Second Level segments: – Third Level Fairness Opinion Comparable Companies for benchmarking Buyside and sellside research M&A practitioners Supply chain Transfer Pricing

Click toinedit Peers Eikon Master (Public text. Companies) styles • Click to edit Master

Click toinedit Peers Eikon Master (Public text. Companies) styles • Click to edit Master text styles – Second Level – Third Level

Click toinedit Peers Eikon Master (Private text Companies) styles • Click to edit Master

Click toinedit Peers Eikon Master (Private text Companies) styles • Click to edit Master text styles – Second Level – Third Level

Click. Case: Use to edit. Peer Master detection text styles • Fundamental Click to

Click. Case: Use to edit. Peer Master detection text styles • Fundamental Click to edit Master text styles for workflow: any given company, which – Second Level are –its. Third most similar companies? Level • Increase the scope of companies • Improve the quality of peer recommendations • Provide multiple flavors of peer lists • Allow end user control and customization • Provide transparency and explanations for the recommendations

Clicktasks Key to edit in Master peer detection text styles • • Click edit

Clicktasks Key to edit in Master peer detection text styles • • Click edit Mastersets text styles Findtocontent with • • • potential signals – Second Level Classify/ extract and store signals – Third Level Clean data Resolve to authorities Create a company fingerprint through a list of ranked attributes Compose a similarity metric based on the different data sources Provide an interactive user interface to visualize and fine tune the recommendations

Click to edit Master text styles Datasets News – Second Level – Third Level

Click to edit Master text styles Datasets News – Second Level – Third Level Trademarks Patents Wikipedia Fundamentals Deals Starmine Peers Press Releases • Click to edit Master text styles • • – (TR Curated Data)

Click to edit Master text styles Patents • Click to edit Master text styles

Click to edit Master text styles Patents • Click to edit Master text styles Similarity between patent portfolios – Second Level Derwent database – approximately 50 million patents – Patent Third Level - Associate patents with companies - Select a set of attributes that defines a company patent portfolio - Based on these attributes establish a similarity measure - Neighbors of companies in the network can be considered peer candidates - Clustering this network gives technology areas THOMSON REUTERS GLOBAL RESOURCES

Click to. Visualizing Aside: edit Masterthe text Derwent styles Ontology • Click to edit

Click to. Visualizing Aside: edit Masterthe text Derwent styles Ontology • Click to edit Master text styles – Second Level – Third Level THOMSON REUTERS GLOBAL RESOURCES

Click to. Assignees: Patent edit Master. Obfuscation text styles and Trolls • Click to

Click to. Assignees: Patent edit Master. Obfuscation text styles and Trolls • Click to edit Master text styles Patent “Trolls” often try to hide their status as – Second Level – Third Level of patents. assignee We characterize assignees by ratio of plaintiff to defendant role in patent litigation. Identifying NPE assignees requires de-obfuscating names. THOMSON REUTERS GLOBAL RESOURCES

Click to Tools foredit normalization Master text&styles access • Click to edit Master text

Click to Tools foredit normalization Master text&styles access • Click to edit Master text styles – Second Level – Third Level ENTITY, FACT AND EVENT EXTRACTION , TOPICAL CLASSIFICATION CONCORDANCE AND RESOLUTION SERVICES ORGANIZATION AND PEOPLE MASTERS CENTRALIZED CONTENT ACCESS

Click to Open Calais edit Master text styles • Click to edit Master text

Click to Open Calais edit Master text styles • Click to edit Master text styles – Second Level – Third Level http: //www. opencalais. com/ A free to use external version of our entity, fact and event extraction engine. New Calais releases will rely on TR authorities. Assign Permanent Identifier (Perm. ID) to entities. Better quality and disambiguation Leverage the TR identity management of entities Stay tuned for 2015

Click to edit Master Eikon/Open Eikon text styles • The Click. Open to edit

Click to edit Master Eikon/Open Eikon text styles • The Click. Open to edit Eikon Master project textisstyles transforming Eikon into a platform for 3 rd parties. – Second Level – Third Level

Click to edit Master text styles Demo • Click to edit Master text styles

Click to edit Master text styles Demo • Click to edit Master text styles Front end: Level – Second – Third Level • Angular. JS • D 3 • Eikon framework Aggregation engine: • Java All communications RESTful with json services THOMSON REUTERS GLOBAL RESOURCES

Click to edit Lessons Learned/Agile Master text Approach styles • • Click to edit

Click to edit Lessons Learned/Agile Master text Approach styles • • Click to edit text styles Agree on. Master a deliverable – Second Level • Extensible – Third Level architecture • Flexible interaction – Let user determine how they want to drill into information. – One metric doesn’t fit all. • • • Agree on a contract Start by integration Short milestones Small, self selected teams In and out of comfort zones THOMSON REUTERS GLOBAL RESOURCES

Click to edit text research styles Wish List. Master for the community • •

Click to edit text research styles Wish List. Master for the community • • Click to edit Master text stylesfor precise information integration Increased automation – Second Level • Automated curation upon acquisition or ingest from various – Third Level formats including pdf, XML into structured forms • Achieving scalable inference on large graphs • Managing rights and permissions • Supporting accessibility and navigation • Provenance tracking • Data visualization at scale, across diverse data sets

Click to edit Master text styles Questions? • Click to edit Master text styles

Click to edit Master text styles Questions? • Click to edit Master text styles – Second Level – Third Level Yes, we are hiring!