Director, Cloud Partner Engineering, Google
Dr. Ali Arsanjani is the TechSector Leader and Principal Machine Learning Architect for AI/ML Solutions Architecture with Amazon Web Services . He leads the Technology Sector for Saas, Software, ISVs and Internet, where AWS largest customers are served. He also leads an Applied Science team for research in AI.
Previously, Ali was Founder and Vice-president of Artificial Intelligence and Machine Learning for Deep Context, an AI consultancy that provides deep contextually relevant information for customer engagement.
Previously, VP AI & ML at 8×8, cloud Communications. Dr. Arsanjani was responsible for research, productization and implementation of AI and ML in the UCaaS and CCaaS products.
(1998-2018) IBM Chief Technology Officer (CTO) for Analytics & Machine Learning, IBM Distinguished Engineer, responsible for applied research and architectural implementations leading IBM services teams in customized machine learning and analytics solutions. Building teams across multiple geos in large-scale agile solution development he was considered the father of SOA. His career spans CTO responsibilities for SOA, BPM, RPA, Analytics, Machine Learning and Artificial Intelligence Systems.
Ali is a hands-on machine learning executive and engineer/researcher with over 20 years experience implementing software systems that leverage service-oriented architecture, analytics and machine learning for IBM’s largest clients.
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.
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.
Ali 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 long tenure at IBM, He & his team specialize in harvesting, developing best-practices for microservices architectures on hundreds of projects WW across multiple industries, leading a community of practice of over 6000 people.