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Eva-Maria Hempe
Partnering with leading companies in their digital transformation and their journey to the multi-cloud (Sales Director Enterprise at VMware). Passionate about Healthcare
Dr. Eva-Maria Hempe is a technology and healthcare leader with extensive experience in enterprise sales and strategy. She currently holds the position of Head of Enterprise Sales and Strategic Pursuits for Central EMEA at VMware.12 Prior to this role, she served as the Senior Director Enterprise Sales for Central EMEA and Chief of Staff to the Worldwide Head of Sales at VMware.1
Dr. Hempe's professional background includes:
- Working as an Associate Partner at Bain & Company3
- Being recognized with the VMware President's Club award for top-performing sales managers2
- Holding a Post-graduate Certificate in Psychology of Leadership from Cornell University2
In addition to her corporate roles, Dr. Hempe is also:
- A board member
- An author and speaker
- An investor5
She is known for her expertise in digital transformation and multi-cloud strategies, partnering with leading companies in these areas. Dr. Hempe is based in Zurich, Switzerland4, and has been featured in discussions about women in technology.6
Highlights
NVIDIA’s Role in Digital Healthcare: Building the Foundation
I had the honor to be part of AIMS Summit today. Together with my colleagues Mathias Goyen, Prof. Dr.med., Paul Burton MD PhD FRCP and Margaret Hartnett I was able to shine light on differ by aspects of AI in healthcare.
In my talk about NVIDIA’s role in digital health, I argued that GPUs are the fundamental next generation multi-purpose medical instrument spanning digital biology, digital health, and digital surgery & diagnostics.
At NVIDIA we are convinced that AI and especially in AI in medicine is highly domain specific and hence we created domain specific platforms under the umbrella of Clara (Holoscan, Isaac, MONAI, BioNeMo, Parabricks, NeMo).
I also talked about how NIMs are democratizing the access to AI models by resolving a lot of complexity of deploying pre-trained models as containers (which still allow fine tuning - and keeping both model weights and prompts private).
And finally I touched on the “why now” - why are we suddenly seeing all this breakthroughs in Generative AI? Because we have a) (biological) data at an unprecedented scale b) the AI right tools (transformers) that allow us to make sense of large and complex datasets c) the necessary (super-)computing power (GPUs anyone? ☺️)
Thank you to John Sheehan & Peter Naughton for the invitation and the great work to make AIMS a really special conference!
Quantum computing now?
I find this very exciting, not just as a trained physicist who used to work on quantum optics: combining quantum computing and high-performance computing allows to calculate molecular properties with just 20 (instead of 250) logical qubits.
Why does this matter? Because it puts practical applications of quantum mechanics (for example in drug discovery and design) within reach.
