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AI model mastery - Streamlined fine-tuning with NetApp [1428-3]

1 year ago

Learn how efficient NetApp data management and robust security can be used in cost-effective strategies that enhance training efficiency while ensuring data integrity.

NetApp AI solutions
Speakers
Prabu Arjunan
Prabu Arjunan
Cloud Architect, AI/ML, NetApp
AWS, Azure & GCP certified AI cloud solution architect helping/shaping Cloud Infrastructure Modernization and transforming to virtual and Kubernetes platforms. I am currently focused on AI/ML, and Providing thought leadership and architectural expertise to a cross-functional team on NetApp storage for Public Cloud environments, including AWS, GCP, and Azure. I speak at conferences such as the AWS reinvent, NetApp partner, and customer events, including NetApp Insight.
Mekka Williams
Mekka Williams
Mekka is a software engineer with experience across multiple industries and many iterations of technological advancement. She presently works for the Office of the CTO (Chief Technology Officer) for Public Cloud Services. Her current responsibilities include evaluating emerging technologies for partnership and integration with NetApp solutions as well as architecting innovative solutions using NetApp’s robust cloud portfolio. Mekka is currently focused on innovation and development, in 5G and DevOps/DevSecOps. Mekka has a passion for inclusion and diversity in STEM professions and serves as a mentor to young, underrepresented students in the community, young women professionals, and junior engineers.
Max Amende
Max Amende
Max Amende ist seit 2020 bei NetApp und arbeitet als Technical Solutions Specialist für AI/ML und Analytics. Durch seine praktischen Erfahrungen im Bereich Data Science und IT-Infrastruktur ist es sein Ziel, die Lösungen und Vorteile der beiden Bereiche zu kombinieren. Er berät Kunden dabei, wie sie ihre AI-Journey erfolgreich und effizient gestalten können.
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