April 02 to 04 2018, Santa Clara, USA.


Speaker "Ali Arsanjani" Details

Name :
ali arsanjani
Title :
VP AI and Machine Learning
Topic :

Amalgamation : Patterns for Combining Data for Machine Learning Insight

Abstract :

We will be reviewing patterns that help with the process of amalgamation : 

taking structured and unstructured data and combining them in insightful ways.

Considerations and best practices for :

1. Data Mining and Data Collection

2. Data Preparation and Curation

3. Annotations and Training for Machine Learning

4. Context Aperture

5. Context Aggregation

6. Ontology Mappings 

7. Ensemble Neural Networks for Amalgamation

Profile :

Dr. Ali Arsanjani is an IBM Distinguished Engineer and Chief Technology Officer for IBM Analytics Hybrid Cloud and Machine Learning responsible for WW enablement of services teams with IBM's latest product assets to support providing highly customized solutions to clients’ complex problems by leveraging a spectrum of capabilities from data science, analytics, machine learning and cognitive computing. He has led solution development of context-aware, sentiment-sensitive cognitive systems that combine unstructured content and structured data to provide actionable insights for clients in finance, healthcare, retail, automotive. His career spans CTO responsibilities for SOA, BPM, Analytics, Machine Learning and Cognitive Systems.


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