Akhila Aiyer serves as a principal Solutions Architect for Private Cloud Ai at HPE. With a background in Data Science and AI, Akhila is a leader with extensive experience driving digital transformation at scale, having led impactful AI initiatives that helped transform customer engagement. With expertise in AI/ML architecture, large language models, knowledge graphs and real-time data orchestration, Akhila bridges cutting-edge technology with practical business outcomes. Akhila is recognized for advancing responsible AI, data governance and enterprise innovation.

Francesco is an AI Solution Engineer at HPE.

He was trained as a Biomedical Engineer and holds a PhD in Computer Vision applied to medical imaging. During his academic tenure he conducted research on AI for food quality control, nuclear reactor safety control and multi-modal medical image analysis problems. Prior to HPE, he was an Applied Scientist at Amazon where he developed wakeword models that activate Alexa enabled devices across the world (and in space too!). Outside of work, he learns all he can about new technologies for new AI uses and is passionate about running and cooking.

Kristen Sun is a Solution Architect at Vaidio with 4 years experience in designing and managing Vaidio AI vision platform projects across the Americas, EMEA, and Asia from planning to deployment. In addition, Dr. Sun oversees product documentation, including user guides and training courses, responds to RFPs/RFIs, and provides technical project support and design. She has successfully contributed to diverse projects, such as parking management solutions for occupancy detection, container ID and trailer recognition, and AI vision applications for smart cities.

With deep experience working alongside enterprise customers, Lauren focuses on translating AI ambition into scalable, secure, and operational solutions that actually deliver value. Lauren is known for her practical, customer-first approach and guiding teams through the complexities of AI adoption, infrastructure readiness, and organizational change. She believes the future of AI is built not just on powerful technology, but on thoughtful implementation that keeps people, trust, and outcomes at the center.

Paul Tatum is a Senior Solutions Architect at NVIDIA, specializing in AI solutions employing accelerated computing and networking infrastructure and NVIDIA AI enterprise software. Drawing on over two decades of experience designing scalable multi-tenant network and compute architectures for cloud service providers, hyperscalers, and large enterprises, he provides technical guidance to end customers building next-generation AI factories aligned with their organizational goals and desired outcomes.

Paul holds a Doctor of Science in Information Technology and multiple advanced degrees in domains including AI, computer science, and cybersecurity. Paul also maintains professional certifications from NVIDIA, Cisco, AWS, Microsoft, and (ISC)², and regularly speaks at industry events and workshops about NVIDIA's AI solutions.