AI-CloudSEO - Technical Program

Conference code: ACS
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Date/Time	Session	Session Chair	Presentation
Tues 9/7 18:50 - 21:00 pm UTC time	ACS 1 Panel	Fausto Bernardini Google	Panel Discussion: AI for Operations Management: Frontiers of Real World Applications and Future Opportunities The application of AI to the automation and optimization of operations management of IT production environments holds great promise. However, real world applications have proven difficult to scale to demonstrate general advantages over simpler approaches. In this panel we’ll hear from three experts in the field who have seen successes as well as current limits and lay out a set of directions for future work. Moderator: Fausto Bernardini leads Site Reliability Engineering at Google for the Core Data organization, with responsibility for the operation of infrastructure services in Data Solutions, Serving, Acquisition, Processing, Analytics and Storage, supporting many of the products offered by Google to end users. Prior to joining Google, Fausto was the VP of Engineering of the IBM Watson Platform for Health, a data platform for large scale analytics and machine learning on a variety of personal health data. Earlier in his career Fausto held several positions in IBM, starting as a Research Staff Member in the T. J. Watson Labs, moving on to Cloud transformation consulting, and then leading Cloud technology and product development. Fausto holds a PhD in Computer Science from Purdue University, IN, USA and a Laurea degree in Electrical Engineering from Universita' La Sapienza of Rome, Italy. Panelists: Adam Iwanicki is a Tech Lead in Site Reliability Engineering at Google responsible for Machine Learning Infrastructure both for internal users and for Google Cloud's AI products. He spent the last 12 years being responsible for many of the largest systems in the area of Machine Learning and previously Data Analytics. Adam has worked on Billing and Payment Fraud detection systems at Google, but quickly gravitated towards large scale distributed systems for data processing (Dremel, BigQuery, Cloud Dataflow, Cloud Dataproc). For the last several years, this led to work on Machine Learning and Artificial Intelligence, where distributed systems, large scale data and high performance computing find an intersection. Adam has MSc in Computer Science and BSc in Mathematics from Warsaw University. Matt Lyteson is vice president and CIO of Hybrid Cloud Platforms for IBM. Matt has over 24 years of C-Suite leadership, management, and IT experience overseeing digital transformation and technology operations for several multinational organizations including IBM, Red Hat, Hewlett Packard and EDS. In his current role, he is leading the transformation of the CIO organization to hybrid cloud, starting with the infrastructure and platforms and driving application adoption and enabling modernization. All this, while continuing to perform global datacenter consolidation, increase operational excellence in core IT practices, and re-invent how we do IT. As an IT transformation expert, he is a seasoned business and technology executive empowering business with technology. His expertise is helping companies strategically architect and deploy the applications and infrastructure to the hybrid cloud that empower business and deliver competitive advantage. Lyteson is a graduate of Shenandoah University. He and his family reside in Raleigh, NC. Jorge Cardoso is Professor at the University of Coimbra. After 15+ years working for different industrial and academic research organizations (e.g., SAP Research, The Boeing Company, CCG/Zentrum fur Graphische Datenverarbeitung, KIT, University of Dresden, University of Coimbra), Jorge joined Huawei Munich Research Center as a Chief Architect for Ultra-scale AIOps with the objective of building a new team to develop innovative solutions which explore AI/ML to operate and manage the troubleshooting of large scale cloud platforms. In 2021, he co-founded the AI-driven Autonomous Operations Innovation Lab with the Technical University of Berlin. His current research interests include the development of the next generation of ultra-scale AIOps platforms, Edge AI systems and AI-driven networking tools. Jorge has published over 180 scientific publications (in the field of AI for IT operations, distributed systems, workflow management and semantic web), several books and 10+ patents. He has a Ph.D. in Computer Science from the University of Georgia (USA).