Erik Marcade explains why machine learning and artificial intelligence aren’t just revolutionizing industry and knowledge-worker jobs. They’re also transforming the way enterprise software is designed and delivered to customers. Soon all enterprise applications will become intelligent, able to make tactical and operational decisions without user intervention, and will also augment and enhance the work of users through smarter interactions. Join Erik to learn more about the potential for deep integration of machine learning and artificial intelligence in the fabric of enterprise software.
This session is sponsored by SAP.
Erik Marcade is the vice president of advanced analytics, products, and innovation at SAP, where he heads the Advanced Analytics development team within the Analytics and Insights end-to-end unit. His team manages several predictive and machine learning programs, such as SAP BusinessObjects Predictive Analytics and HANA Cloud Platform Predictive Services, and provides predictive and machine learning foundations leveraged by several SAP applications. Erik has over 30 years of experience in the machine learning industry. Previously, he was founder and CTO at KXEN; developed real-time software expertise at Cadence Design Systems; spearheaded a project to restructure the marketing database of the largest French automobile manufacturer for Atos, a leading European information technology services company; cofounded Mimetics, a French company that processes and sells development environment and optical character recognition (OCR) products and services using neural network technology; was a software engineer and project manager in Thomson-CSF’s Weapon System division working on the application of artificial intelligence for projects in weapons allocation, target detection and tracking, geostrategic assessment, and software quality control; contributed to the creation of Thomson Research Laboratories’s Pacific Rim Operation in Palo Alto, CA, as senior software engineer, where he collaborated with Stanford University on the automatic landing and flare system for Boeing and Kestrel Institute, a non-profit computer science research organization; and headed Esprit projects on neural networks development. Erik holds an engineering degree from École nationale supérieure de l’aéronautique et de l’espace, where he specialized in process control, signal processing, computer science, and artificial intelligence.
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