Put AI to Work
April 15-18, 2019
New York, NY
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Deployment considerations and best practices for your AI workloads from Mastercard (sponsored by Dell Technologies)

Nick Curcuru (Mastercard), Anthony Dina (Dell EMC)
1:00pm–1:40pm Thursday, April 18, 2019
Location: Beekman
Average rating: *****
(5.00, 1 rating)
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What you'll learn

  • Learn what Mastercard took into consideration when building and deploying a successful AI

Description

Artificial intelligence has become the hottest commodity in recent years, and business, academia, and government have embraced it to propel complex use cases. As AI becomes more woven into the fabric of organizations (and its criticality increases), enterprise infrastructure becomes essential. AI is only as strong as its weakest link. The ability to build out use cases, deploy into production, scale, and secure all relies on the supporting solutions and infrastructure.

There are many different decisions to make when choosing the right solutions and infrastructure: On-premises or off? GPUs or CPUs? Which storage system and framework to use? The list goes on.

Drawing on real-world considerations, use cases, and solutions, Nick Curcuru discusses different decisions—and the associated considerations and best practices—Mastercard exercised to build and deploy a successful AI.

Photo of Nick Curcuru

Nick Curcuru

Mastercard

Nick Curcuru is vice president of enterprise information management at Mastercard, where he’s responsible for leading a team that works with organizations to generate revenue through smart data, architect next-generation technology platforms, and protect data assets from cyberattacks by leveraging Mastercard’s information technology and information security resources and creating peer-to-peer collaboration with their clients. Nick brings over 20 years of global experience successfully delivering large-scale advanced analytics initiatives for such companies as the Walt Disney Company, Capital One, Home Depot, Burlington Northern Railroad, Merrill Lynch, Nordea Bank, and GE. He frequently speaks on big data trends and data security strategy at conferences and symposiums, has published several articles on security, revenue management, and data security, and has contributed to several books on the topic of data and analytics.

Photo of Anthony Dina

Anthony Dina

Dell EMC

With over twenty years in the IT industry, Anthony Dina serves as the North America Director of Data Analytics at Dell EMC. He leads a team of solutions architects that synthesize the tsunami of new data
types (machine, application, person-driven) with traditional systems of record. Their expertise in big data, data warehouse modernization and analytic modeling, artificial intelligence helps customers
succeed in the era of Digital Transformation. This work not only involves intellectual property from Dell EMC but also from partners like Cloudera, HortonWorks, Splunk, Intel, Nvidia and SAP. Prior to this, he
served as executive director of strategy and director of solutions marketing. He has earned a Masters of Business Administration from the University of St. Thomas and a Masters of Fine Art from Cranbrook
Academy of Art. His technical certifications include ITIL v3 Foundation and ITIL Services Strategy.