Nuala Summerfield

Amanda Boag

Anna-Katrina Shedletsky

Anna-Katrina Shedletsky is the CEO and founder of Instrumental, a manufacturing data company that uses machine learning to find anomalies on consumer electronics assembly lines. She has two degrees in mechanical engineering from Stanford University, and went on to work as a Product Design Engineer at Apple. During her six years there, she designed mechanical components for three iPods and led system product design for the Apple Watch Series 1. After spending over 300 days in China finding and fixing issues on manufacturing lines, she started Instrumental to build an intelligent quality system to modernize manufacturing. Instrumental customers range from startups to Fortune 500s and span consumer electronics, apparel and more.

Thibault de Assi

Thibault de Assi is the General Manager and Global Head of Industrial Computing at Siemens Digital Industries, the world leader in electrification, automation, and digitalization. In his current role, he is responsible for delivering profitable growth, expanding market share, and bringing innovation to a well-established business including high-performance and embedded computing hardware and software solutions. Driven by a customer-first orientation, Thibault leads his team to deliver world-class reliability, accelerating customer innovation and speed-to-market.

Prior to his current role, Thibault was the GM and Global Head of Digitalization and Automation in the Factory Automation Business Unit of Siemens, where he built and led a global department with expertise in software, collaborative development with customers, and in Artificial Intelligence. Thibault has earned multiple master’s degrees in engineering in Computer Science, Telecommunications Engineering, and Image Treatment and CAD Design. He also holds an MBA from IMD Business School in Lausanne. He believes that AI will improve well-being, reduce inequities, and help individuals to better achieve their goals in core ethical values.

Alissa Sasso

Selcuk Kopru

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

Saurabh Kulkarni

Saurabh Kulkarni is currently the Head of Engineering in North America at Graphcore. In his career spanning 20 years, he has held leadership positions at Intel, Microsoft and Oracle prior to his current role at Graphcore. His roles have spanned Computer Architecture, Server Platform Architecture, Cloud infrastructure design, Virtual Machine sizing for Microsoft Azure, HPC infrastructure in the cloud and more recently hardware accelerators and scale-out infrastructure for AI compute in the cloud.

After graduating from the University of Minnesota, Saurabh started his career at Intel Corporation, where he initially worked on several generations of X86 CPUs for client and server market segments. Towards the later part of his time at Intel, he was a platform architect in the data center group driving customer focused innovation in the enterprise platform and firmware security areas.

In 2014, Saurabh joined Microsoft in the Azure Compute team focusing on the IaaS platform and infrastructure, with particular emphasis on scale-out architecture. He drove the server platform architecture and Virtual Machine (VM) sizing strategy for various Azure VM families across general purpose and accelerated computing use cases including HPC/AI workloads. In this capacity, one of his primary areas of focus was efficient architectures for disaggregated resource management for general purpose and accelerated compute.

Saurabh briefly worked at Oracle in the Oracle Cloud Infrastructure team working on cloud native services before joining Graphcore, where he currently is the Head of Engineering for North America. In his current role, he works closely with customers to understand their AI workload needs for training and inference with the objective to devise efficient, end-to-end solutions that can be either deployed on-prem, on public clouds or in a hybrid cloud setting. He is also involved in the architectural definition of the next generation of Graphcore IPUs and systems being designed to fulfil the demanding needs of future AI workloads at scale.