Excited to speak at the World AI Cannes Festival about how to accelerate enterprise AI adoption by using LLMs to generate high-quality, interoperable data.
#WAICF#SecureData#AICompliance#EnterpriseAI
๐ Discover how CISOs can secure data in the ML era and balance innovation with security, as explored by Ellie Dobson in
@InsideBIGDATA. Learn about our Compute Gateway's role in this crucial endeavor.
https://t.co/R3UCsdOu73
#DataSecurity#FederatedLearning#CISOChallenge
๐ Excited for @Apheris_AI to be partnering with Europe IMPACCT RWE Summit! Weโll be there to showcase how we enable secure ML with sensitive data built on top of NVIDIAโs NVFlare federation framework.
#IMPACCT2024#FederatedLearning#DataPrivacy
Tackle your predictive maintenance challenges: Overcome data scarcity, scaling difficulties, and reduce security risks.
How? Through secure, governed, and private algorithmic access to federated machine data in the field: https://t.co/1Gi7HWlFOP
#PredictiveMaintenance
๐ Computational governance is key to safe, compliant AI. It ensures data compliance, ethical AI development, and risk-free data utility with federated learning. Learn how in my @TechRadarPro piece: https://t.co/vRtpQiptW5
๐ In her @InsideBIGDATA article, @apheris_AI VP of Product reveals key strategies how to turn your data into a competitive advantage. Learn how our Compute Gateway (CG) transforms data into an asset across industries. https://t.co/gvGBnASpDx
#AIInnovation#DataStrategy
@ericschmidt spotlights #AIโs impact on science, especially for #drugdiscovery. The key? Unlocking proprietary dataโs potential. @apheris_AI's Compute Gateway offers governed, secure, and private computational access to #pharmadata.
๐ https://t.co/gMBONEZwr0
As we continue to build a category-defining company around governed, secure, and private ML the most valuable experience for me is our team of extraordinary people with their heart at the right place.
Thank you @apheris_AI!
Read my @EU_Startups article to learn how to capitalize on the value of your data without compromising on privacy, governance, and security.
๐ https://t.co/ZMvFsK33BQ
The EU AI Act is guaranteed to come. It aligns with @Apheris values on privacy & ethics in AI.
Key aspects:
โข Risk-based AI framework
โข Strong data privacy measures
โข Commitment to ethical AI
A big step for tech that benefits humanity! #EUAIAct#EthicalAI
A new study introduces an analytical framework called "leave-one-out distinguishability" (LOOD), elevating our understanding of data memorization & information leakage in ML models.
Read the full paper: https://t.co/iyX753bIEq
๐ Honored to keynote at #CannesAIFestival. I'll be discussing enhancing AI interoperability with LLMs, focusing on structured data for accessible, secure AI. Looking forward to sharing insights and exploring the future of AI with fellow pioneers. #AIInteroperability#LLM
๐ Exploring RWD expansion in Europe? At @apheris_AI we're simplifying the journey. Our solution cuts through data regulation complexities, paving the way for seamless European market entry. Let's unlock the full potential of RWD together. #RWD#EuropeanExpansion#Apheris
Thrilled by the US presidentโs AI Executive Order. It echoes our mission for secure & private ML. A monumental nod to the future weโre building.
๐ https://t.co/RYiiAy68u6
#AI#DataPrivacy#ResponsibleAI
@Stanford researchers have found a trend towards decreasing transparency in foundational models: https://t.co/jwCtoK6cd7
In a world where data is the key differentiator and AI/ML models are becoming increasingly complex, the issue of transparency cannot be overstated.
Germany is investing in digital (data and AI) sovereignty and Iโm honoured that @Apheris is supporting this shared vision through the OpenFlaaS initiative.
๐ stay tuned: https://t.co/jf9aLHyXbU
It was a pleasure to speak with Eric Boernert, Roche Informatics, at #BioTechX about how governed, secure, and private computational access to federated multi-party data can be utilized to facilitate connection and multidisciplinary collaboration for a global research community.