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Bringing Semantic Intelligence to Financial Markets

Published on Jul 10, 20171114 Views

The most successful hedge-funds in today’s financial markets are consuming large amounts of alternative data, including satellite imagery, point-of-sale data, news, social media and publications from

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Chapter list

ESWC 2017 00:00
RavenPack at a Glance 00:36
Our Vision: 01:54
Outline 02:35
Why are we here? 03:19
Why do we believe the web should be codified? 03:44
Why do machines need to understand the web? 03:58
Why is there so much content to read? 04:06
Why do we want all this content? 04:39
Because we need to make better decisions 04:43
The Role of Data Analytics in Decision Making 05:13
The Role of Data Analytics in Decision Making 05:47
Key Decision-making Goals 06:22
Data for decision-making - 107:23
Data for decision-making - 207:37
Data Growth in Organizations 09:13
Data from the Web 09:49
Big data in organizations 10:42
Market Size: Data Analytics in Finance 11:32
Approaching Unstructured Content 13:26
POPULAR FORMATS 13:38
Adding Structure 15:13
Entities and Taxonomies - 117:14
Entities and Taxonomies - 218:02
Entities and Taxonomies - 319:22
Entity Mapping 20:10
Event Taxonomy 21:38
Understanding Event Context 22:38
Curated Themes 23:59
Use Cases: Decision-making in Finance 24:56
Key Financial Asset Classes 25:06
Quantitative & Algorithmic Trading 26:24
Discretionary Trading Applications 28:37
Portfolio Selection 29:08
Event based trading 29:22
Risk Management 29:42
Market Surveillance/Compliance 30:18
Competitor Analysis 31:18
Supply-chain Analysis 31:34
Use Cases: Industry Research 32:31
Sentiment Strength Factor 32:47
Scheduled Vs. Unscheduled News Event Study Results33:41
A pairs example: Sport Direct Intl and Dixons Carphone34:42
Key Challenges 36:04
Alternative data in Finance 36:08
Content Quality 39:55
Point in Time Awareness41:34
Survivorship Bias 42:47
Security and Privacy Concerns 43:14
Final Thoughts: Key Market Trends 43:41
Rise to the Challenge! 46:16
Untitled47:02