Andrea Huels | Chief AI Officer
BluSkyAI Data Centers

Andrea Huels, Chief AI Officer, BluSkyAI Data Centers

Andrea “Andi” Huels is the Chief AI Officer at BluSky AI, where she leads AI strategy and partnerships for modular AI Factories purpose-built for high-performance workloads. Recognized as one of the Top 24 AI Influencers of 2024, Andi has spent more than a dozen years shaping the AI landscape across hardware, software, startups, and infrastructure. At BluSky AI, Andi focuses on the next generation of purpose-built AI infrastructure: modular AI Factories designed for training, inference, and scale. She helps business and technology leaders navigate the shift from general-purpose cloud to advanced compute environments built specifically for AI. At Lenovo, Andi built the Enterprise AI business in North America, generating a $311M pipeline and delivering major wins with McDonald’s, Kroger, FedEx, and other Fortune 500 companies, while forging alliances with NVIDIA, Intel, AMD, ISVs, and GSIs. Her career also includes senior innovation roles at GE, ExxonMobil, and Dematic, along with founding executive positions at Vody, a GenAI startup, and RadiusAI, a computer vision company. A recognized thought leader and frequent speaker, Andi has appeared on stages at CES, Ai4, NVIDIA GTC, Yotta, NRF, Xcelerated Compute, Global Restaurant Leadership Conference, Manifest, Voice & AI, and many other global forums. She specializes in making complex AI infrastructure trends clear, relevant, and actionable for executive audiences. Andi has been recognized among the “50 Most Powerful Women in Technology,” “Top 200 Business & Technology Innovators,” “Top 100 Women Leaders of Conversational AI,” and “Top 50 Intelligent Automation Influencers,” among others.

Appearances:



Future of Memory and Storage - Day 1 @ 09:45

Panel Discussion – Storage as a Service: Neo-Cloud Economics vs Hyperscale Control

AI NeoClouds are racing to differentiate but storage margins often flow upstream. Hyperscalers increasingly bundle Storage-as-a-Service with GPU compute, capturing performance premiums and tightening ecosystem control. Meanwhile, scale-out storage platforms (Weka, VAST Data, DDN, Hammerspace) power NeoCloud clusters, abstracting flash volatility while competing on throughput and latency guarantees.Beneath them sit controller, NVMe, and flash suppliers whose economics depend on density, endurance, and bandwidth scaling. Open-source stacks and bare-metal storage clusters offer an alternative path but with operational trade-offs.This panel maps the full stack: hyperscale services, NeoCloud offerings, software, defined storage layers, component vendors, and flash technology providers, asking who owns margin, who owns performance, and how AI-era storage models evolve.

last published: 23/Jul/26 12:15 GMT

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