Speaker "Ali Arsanjani" Details Back



Patterns for Amalgamating Unstructured and Structured Data for Deep Learning


As more and more companies start considering machine learning and deep learning to augment their big data and analytics efforts, the need to infuse intelligence into the traditional legacy activities, applications and projects in a way that can bring about business gains becomes increasingly important. The combination of traditional big data and structured data along with unstructured content provides an amazing opportunity to contextualize information and bring about training sets that aid in the machine and deep learning to afford actionable insights to key business decision-makers. In this session we will cover a set of patterns that have been mind out of customer engagements and cast light on the architectural components, infusion strategies and detailed design in terms of highly specialized industry verticals and cross industry capabilities that can be utilized for gaining actionable insight to a machine and deep learning.


Dr. Ali Arsanjani is Founder and CTO of Analytics and Machine Learning at Deep Context, a deep learning startup . He is an advisor to startups and boards of larger companies via

In his previous role (1998-2018) , Dr. Arsanjani was 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.

Ali builds teams of teams across multiple geos in large-scale agile solution development of custom, context-aware, sentiment-sensitive cognitive systems that combine unstructured content and structured data to provide actionable insights for clients in finance, healthcare, retail, automotive , telecom and public sector. His career spans CTO responsibilities for SOA, BPM, Robotic Process Automation, Analytics, Machine Learning and Artificial Intelligence/Cognitive Systems.

He delivering actionable business insights thru' an amalgamation of structured and unstructured data using machine learning and artificial intelligence to augment traditional rule engines, custom/legacy systems.

In past jobs he has been CTO for SOA, BPM, Decision Management, Analytics, Content Management.

Ali Arsanjani has chaired standard bodies such as The Open Group and is responsible for co-leading the SOA Reference Architecture, SOA Maturity Model, and Cloud Computing Architecture standards. In his role as Chief Architect, he and his team specialize in harvesting and developing best-practices for the modeling, analysis, design, and implementation of SOA and Web Services on hundreds of projects WW across multiple industries, leading a community of practice of over 6000 people.