Description
Key Learnings
- Describe the types of AI workloads that are best suited for cloud implementation and those that should be run locally.
- Evaluate your technology stack to respond to current and future AI features.
- Identify use cases for AI features and their enabling system configurations.
Speakers
- Matt AllardMatt leads the Strategic Alliances and Solutions team for the Dell Specialty PC product group, working closely with Independent Software Vendors (ISVs), customers and technology partners across multiple industries. He has more than 20 years of experience within the tech sector, and prior to Dell, he held marketing and product management roles at Autodesk, Avid Technology, Schneider Electric, Microsoft Softimage, Media 100 and X-Rite. Matthew lives with his wife in the green mountain state and loves movies, seafood and checking out live bands.
- OWOwen WelshOwen has proven track record of driving market insights and growth in the AI hardware market for client workstations. With over seven years at Intel, he has led teams responsible for GTM strategy, segment profitability, and customer advocacy, fostering strong partnerships with industry-leading OEM partners like Dell.
- SBSama BaliSama Bali is a Sr. Product Marketer for AI Solutions at NVIDIA. She specializes in product marketing, content creation, and launching enterprise offerings. Previously, she spearheaded product marketing for Machine Learning Solutions at Amazon Web Services. Her experience spans notable tech companies like Dell, Veritas Technologies, and Pure Storage.