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Arno Candel
CTO at H2O.ai, Fellow
Arno Candel is a prominent figure in the field of technology, currently serving as the Chief Technology Officer at H2O.ai.
He is widely recognized for his contributions to the machine learning and data science domain, notably as the main contributor to H2O-3 and H2O Driverless AI, and now focused on Enterprise h2oGPTe.
With a background in supercomputing, Arno has a rich scientific history that includes collaborating with prestigious institutions like CERN on cutting-edge projects.
Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland, showcasing his academic excellence.
His expertise has been acknowledged by notable publications and organizations, earning him titles such as '2014 Big Data All-Star' by Fortune Magazine and being featured in ETH GLOBE and WIRED.
Arno Candel's influence extends beyond his role at H2O.ai, as he actively engages with the data science community through various platforms like Kaggle, Github, Twitter, and more.
His speaking engagements, publications, and interviews demonstrate his commitment to advancing the field of data science and machine learning.
Arno's journey from academia to industry leadership reflects his diverse skill set and his ability to bridge the gap between complex scientific concepts and real-world applications.
His presence in the Gartner Magic Quadrant further solidifies his reputation as a thought leader in the industry.
Arno Candel's dedication to innovation and collaboration continues to shape the landscape of technology and data science.
Highlights
Nice! Open-Source wins again!
With #Llama31 + #InternVL, all our Enterprise #h2oGPTe customers can have a #multimodal (text/image/audio) #GenAI platform that's on par with GPT-4o:
PLUS:
- nice GUI
- K8s-based scalable system
- runs on all clouds
- runs on premises (incl. 100% airgapped, offline, no internet needed), no trust in third-party needed
- multi-user sharing
- optimized RAG (20+ document types, auto-alignment/rotation, 12 different OCR, metadata like URLs, page number, etc.)
- multi-lingual (end-to-end from doc ingest, OCR, chunking, prompting, LLMs)
- Automatic cost/time-based LLM routing
- PII redaction and guardrails
- Guided generation for all LLMs (JSON schema driven output)
- #DocAI system to cost-effectively extract information from documents (including p-tuning)
- Py/JS client for notebook and custom app integration
- Built-in connector to H2O Eval Studio, that also allows you to eval any other GenAI system
- and much more, like H2O LLM Studio Fine-tuning of #Danube Foundation models for even more ROI
Try it now for FREE, no sales call, no e-mails: https://genai.h2o.ai/
More: https://h2o.ai/ H2O.ai
Public RAG Benchmarks: https://lnkd.in/gjvjfs9M
In case you don't know, we don't just have #GenAI at H2O.ai
We also have the world's best #PredictiveAI aka #AutoML: H2O Driverless AI.
See how some of our 25+ #Kaggle grandmasters have recently used H2O DriverlessAI to make the most accurate predictions:
https://lnkd.in/gQVKmkTN https://lnkd.in/gsTH9PFi
Thanks to our customers for giving us stellar reviews, we appreciate the support!
Check out our website: https://h2o.ai/
https://lnkd.in/guG8f_x8
