Khosrow Hassibi

Background

About Khosrow Hassibi

Proven expertise (including pioneering work) in the use of machine learning, AI, pattern recognition, data mining, advanced analytics (big data included) technologies in real-world applications. This covers strategy/POC-POV/design/development/sales/deployment of the intelligent state-of-the-art data products. Applications include fraud (payment systems, real-time, security.), marketing (online, offline), risk assessment, and automation (hand-print recognition, OCR.) applications covering industries such as Internet (Services, eCommerce, Social Networks), Financial, Telco, Advertising, Retail, Manufacturing, & Utility. Technical, management, business, and domain expertise obtained from 20 years of applying ML/advanced analytics techniques to a variety of real-world applications with industry and worldwide client engagements. Management: Building analytics-oriented teams, Leading analytics-based initiatives, Leveraging analytic teams/infra-structure/software to deliver analytical solutions, up-to-date knowledge of Analytics market companies & trends. Technical interests: Predictive Analytics, Machine Learning, AI, Strategic & Tactical Management/Consulting focused on Analytics-based solutions, software prototyping of such solutions. Current Challenges of Interest- Implications of big-data analytics in classic organizations- Impact of AI in traditional industries and business models- How traditional behavior data and online behavior data should be combined- What is the marginal benefit of combining the two in the context of Marketing, Fraud, and Risk- What is the best approach to marry big data technologies of recent and past? How are they going to converge- Is online behavior simply revealing intent (ephemeral) or long term & in what contexts- How to store, manage, analyze, & act on machine and sensor data in the world of Industrial Internet (IoT, Internet of Things)?