Dr. Ali Arsanjani is Director of Cloud Partner Engineering at Google Cloud, building strategic partnerships with Google’s largest partners. He specializes in AI/ML and Data/Analytics and enabling integration, build and run on the Google Cloud Platform, enabling strategic co-innovation with ISVs and GSIs. He integrates with product management to lead the direction of Google AI and Analytics.
Previously he was the Head of Machine Learning, WW Tech Leader, for AWS AI/ML Specialist Solution Architects . As Chief Principal AI/ML Architect he defined technical strategy for AI/ML Services, Leading the Technology Sector for SaaS, Software, ISVs and Internet– AWS largest customer segment– he created solutions that span multiple scenarios into reference architectures and patterns. Also Ali led a specialized research team of Applied Scientists, engineers and product managers for cutting edge prototyping in AI.
Ali was Founder of AI Startup Deep Context, that provides clients with contextually relevant customer engagement actionable data. He is an advisor to startups and boards of larger companies.
As Vice President AI/ML at 8×8, Cloud Communications, Dr. Arsanjani was responsible for defining strategy, research direction, product management and implementation of AI/ML products in the telco sector focusing on UCaaS and CCaaS products.
(1998-2018) IBM CTO Analytics & Machine Learning & IBM Distinguished Engineer, responsible for a WW 6000 practitioners ; combining research and architectural implementations; leading teams in bespoke ML and analytics solutions. Ali built teams globally for large-scale solution development. He is considered as the ‘father of SOA’.
His career spans CTO responsibilities for SOA, BPM, RPA, Analytics, AI and ML systems and solutions.
Master Inventor. led a Global Invention Disclosure Team and Led the Core Management Group for the IBM Academy of Technology. Ali is a hands-on machine learning executive and engineer/researcher with over 30 years experience implementing software systems that leverage service-oriented architecture, analytics and machine learning for the industry’s largest companies.
Ali’s breadth of ML and DL expertise covers NLP/NLU/NLG, Deep learning ensemble models, anomaly/outlier/pattern detection and training, customer segmentation/churn/upsell analysis , voice/video and text analysis for conversational virtual assistant implementations.
Chaired standard bodies:The Open Group responsible for co-leading the SOA Reference Architecture, Maturity Model, Cloud Computing Architecture standards.