Speaker "Anand Oka" Details Back



Multi-tiered digital twins with what-if analysis and predictions


The COVID-19 pandemic has severely disrupted supply chains globally, and the economic impact of these disruptions are expected to be felt for several months to come. Supply chain planners and managers are having to deal with erratic demand from customers, coupled with an uncertain supply of materials to fulfil said demand.
Faced with such challenges, it is imperative that supply chain professionals have extended visibility into their supply networks, along with a cohesive system to bring together supply data from vendors, manufacturing plan (factories, warehouses, orders, shipments and a bill of materials) & demand signals from customers. This virtual representation of the supply chain, also known as a Digital Twin, operates on both historical as well as real-time signals and provides end-to-end visibility and enables us to model the supply chain as a connected network.
AI can empower supply chain professionals by coupling the Digital Twin with a powerful framework to simulate the impact of various real-world problems, such as unexpected port closures, weather phenomena, on the connected multi-tier supply chain, by measuring changes on relevant KPIs. In addition, by leveraging historical data and predictive modelling, the AI framework can also recommend best mitigation strategies to employ to minimize the impact of said disruptions.
By integrating alerting mechanisms with such predictive models allows the system to proactively alert the planners of an impending risk or disruption event with an early warning, and appropriate mitigation procedures can be put in place. This is key to building resilient and agile supply chains.
In this session, we will discuss how such AI solutions are being built, and how AI is ready to radically transform supply chain management.


Anand Oka is Partner AI Architect in the Business Applications and Platform group of Microsoft’s Cloud and AI product division. He drives innovative applications of connected big data and AI to solve challenges faced by enterprises embarking on digital transformation. Previously Anand was General Manager of Dynamics 365 Supply Chain Insights, an innovative SaaS service that helps enterprises improve the resilience of their supply chains through better visibility, insights, and collaborative actions. Earlier Anand was product lead for Dynamics 365 Fraud Protection. He has also worked on Controlled Feature Exposure and AB Experimentation in Bing, Office, and Cortana. At Blackberry he drove AI applications in search, recommendation, and optimization of mobile communication systems.
Anand’s academic training is in broadband and ultra-wideband wireless communication systems. He holds a PhD from University of British Columbia and an MSc from Technion – Israel Institute of Technology, both in Electrical Engineering. He is a Senior Member of IEEE.