Raven pack kevin
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The document discusses using alternative data sources like news, social media, bank transactions, and satellite imagery to gain competitive advantages and make fact-based decisions. It introduces challenges of working with large, diverse data including data cleaning, knowledge representation, and visualization. The RavenPack platform aims to address these challenges through its use of knowledge representation, artificial intelligence, natural language processing, machine learning, and relationship mapping to collect, analyze, and disseminate information from alternative data sources.
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- 1. @DataBeersMLG 18-May-2017 Kevin Crosbie Democratizing Big Data Analytics
- 2. Better decisions with data
- 4. Key Goals Competitive Edge Fact-based DecisionsIdentifying Opportunities
- 5. Types of data used in Finance Trade data, fundamentals, estimates
- 6. Types of data used in Finance Trade data, fundamentals, estimatesOld, overused, not predictive
- 7. Alternative Data: News and Social Media
- 8. Alternative Data: Bank Transactions
- 9. Alternative Data: Satellite Imagery
- 10. Alternative Data: Location Tracking
- 12. Challenges: Drinking from Firehose
- 13. Challenges: Data Cleaning and Filtering
- 18. Knowledge Representation Artificial Intelligence Knowledge representation, NLP, and Machine Learning Big Data Collect, store, analyze, and disseminate information Relationship Mapping Relationships between entities Event Taxonomy Classification of events and roles