Speaker "Ali Arsanjani" Details Back



Best and Worst Practices for Creating a AI/ML Practice: The Ten Labors of a Data Scientist


In this talk we will explore some positive and negative practices in getting a AI/ML Division up and running.

We will explore seven dimensions:

Organizational: Setting up a ML Practice, the AI Center of Excellence
Governance: How to set up the Data infrastructure to make ML Modeling even possible
Applications/Tools : technical Feasibility Exploration or "are you ready for a commitment?"
Architecture : SOA meets ML and Falls in Love
ML Models: What to use , when
Infrastructure: How do I move data around? How do I deploy Models?


Dr. Ali Arsanjani is Vice-president of Artificial Intelligence and Machine Learning at 8x8, a cloud Communications provider. He is responsible for research, productization and implementation of AI and ML by their infusion in AI products, in the UCaaS and CCaaS space, to create context-aware, intelligent routing capabilities for unified communications. 

Ali is a hands-on machine learning engineer researcher and data scientist with over 20 years experience implementing software systems that leverage service-oriented architecture, analytics for IBM's largest clients.

Ali is also Founder of Deep Context, a deep learning startup focused on Amalgamation of data for deeper actionable insights using contextual analysis. He is an advisor to startups and boards of larger companies. 

In his previous role (1998-2018) , he was an IBM Distinguished Engineer & CTO for IBM Analytics Hybrid Cloud and Machine Learning responsible for leading services teams in customized machine learning and analytics solutions. He builds teams of teams across multiple geos in large-scale agile solution development 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. He & his team specialize in harvesting, developing best-practices for the microservices SOA and Web Services lifecycle on hundreds of projects WW across multiple industries, leading a community of practice of over 6000 people.