Uncover Opportunities and Mitigate Risk with Neo4j & Thomson Reuters Data


Details
Empower your teams to uncover growth opportunities and mitigate risk using a graph database and Thomson Reuters data
with Vince Bickers, Principal Consultant at GraphAware
& Samer Mahfouz, Market Dev lead at Thomson Reuters
Venue:
The Westin Dubai, Al Habtoor City, Sheikh Zayed Road
Meeting room: CARNATION
Topics
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Why your organisation needs a graph database
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Integrating Neo4j into your enterprise
by Vince Bickers (https://twitter.com/mambofish?lang=en) is a Principal Consultant at GraphAware and the main author of Spring Data Neo4j. He has been writing software and leading software development teams for over 30 years at organisations like Vodafone, Deutsche Bank, HSBC, Network Rail, UBS, VMWare, ConocoPhillips, Aviva, and British Gas.
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The Challenge of Unstructured Data (News, transcripts, financial reports, etc.)
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Using a Natural Language Processing(NLP) Engine to tag unstructured data and link it to your clients
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Prospecting and risk exposure using a Knowledge graph (KF)
by Samer Mahfouz is Thomson Reuters Market Dev lead for applied Innovation in the MENA region. Samer is responsible for MENA innovation strategy in Big Open and linked data, Blockchain and Artificial Intelligence. He developed multiple innovative solutions like the Islamic dealing adapter, FX SLA tracker, and Virtual dealing room. Previously, Samer was the VP of Emerging technologies at Toronto Dominion Securities. Samer is a Chartered Financial Analyst (CFA). He holds a graduate degree in Management from McGill, Computer Engineering, BSc in Physics from AUB and Data science certification from John Hopkins University.
Agenda:
7:00 - 7:30 pm - Registration
7:30 - 8:15 pm - Introduction, talks by Vince Bickers
8:15 - 8:30 pm - Coffee Break
8:30 - 9:15 pm - Talks by Samer Mahfouz
9:15 - 10:00 pm - Networking
Further information coming soon.
For any special requests or support, contact the event organiser Jitka Svedova on tel. +971 54 443 7334.

Uncover Opportunities and Mitigate Risk with Neo4j & Thomson Reuters Data