Head of Supply Chain, North America
Advanced Accelerator Applications, a Novartis Company
Head of Supply Chain for Cell and Gene Therapies
Bringing life-changing medicines to millions of people, Novartis sits at the intersection of cutting-edge medical science and innovative digital technology. With a strong medicine pipeline, their mission is not just to deliver growth for the business but continue to bring innovative medicines to patients quickly. However, the approach to supply chain for innovative medicines is complex and faces multiple challenges: short expiry timelines, live tissue transport, cold chain storage and, in some cases, radioactivity precautions.
Two senior Supply Chain leaders will share key insights into the nature of supply chain for innovative medicines and how it is tackled at Novartis.
Gokhan Cakmak is the Head of Supply Chain, North America at Advanced Accelerator Applications, a Novartis Company. He maintains 20-plus years of supply chain expertise in automotive, medical device and pharma industries. He has been with Advanced Accelerator Application for over 7 years working in East Hanover, N.J., campus. He earned his Executive M.B.A. from Sabanci School of Management in Istanbul and received his Industrial Engineering degree at Gazi University in Ankara Turkey.
Jorge Ryzwaniuk is the Head of Supply Chain for Cell and Gene Therapies at Novartis. He has held leadership roles across South America at some of the most prominent life sciences companies including, Johnson and Johnson, Shire and Boston Scientific, most recently as the Country Supply Chain Head of Brazil. He holds an Executive M.B.A. from the Universidade de Sao Paulo taken across Emylon Business School and the University of Cambridge and a Bachelors in International Trade and Logistics from UADE
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Co-Founder and CEO
This presentation discusses how Artificial Intelligence (AI) can be used to drive cost savings and business improvement across an enterprise's business silos. The focus will be on streamlining business spend and improving overall compliance in the supply chain ecosystem using AI. The key for AI is to convert unstructured data like contracts, POs and invoices into structured data and then using AI techniques for reconciliation and harmonization of the data.
Sharad Malhautra is the co-founder and CEO of DSilo Inc. DSilo is a deep-learning Artificial Intelligence (AI) platform focused on solving some of the hardest enterprise problems at scale. Its focus is to enable enterprises to reduce contract value leakage across their supply and demand networks.
Malhautra has more than 15 years of global leadership driving results focused on business and digital transformations across the United States, Europe, and Asia. He has in depth leadership experience of helping enterprises get accelerated value from their business and digital transformations. Previously, he served as the global product leader for EY’s OpsChain (blockchain) platform working with emerging and digital technologies including AI - deep learning, NLP, ML, RPA, intelligent automation and distributed ledger.
Malhautra is also active in community activities and is currently working to innovate
breakthrough ideas to end child hunger and homelessness globally. He was awarded the
2015 Association of Management Consulting Firms (AMCF) award for Corporate Social
VP of Assessment & Learning Technology Research and Development
Education Testing Service
In this address, Andreas will introduce the approach and provide some practical examples into business analytics. Behavioral and business analytics are increasingly becoming intertwined, especially as we carry multiple sensors with us, often day and night, that are always on. Going well beyond observable facts, inferential approaches are quickly taking over to make the next leap in predicting behavior and, therefore, business outcomes. One way to develop an inferential chain of reasoning, is to borrow the Evidence Centered Design framework from the educational assessment world and enhance that with a “design for insights” approach for learning analytics. This approach provides a structured way to connect claims to the appropriate evidence or backing for those claims and readily extends to more general business and behavior analysis pursuits.
Andreas Oranje (M.A., Ph.D.: University of Amsterdam; M.B.A.: University of North-Carolina at Chapel Hill) is Educational Testing Service’s VP of Assessment & Learning Technology Research and Development. His division is responsible for developing all of ETS’ assessments as well as innovating our future product, capabilities, and services portfolio through the AI Research Labs unit. Originally trained as a quantitative psychologist, his work included statistical research for the National Assessment of Educational Progress, game-based and virtual performance assessment, and the application of AI in education.
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