Stephan Gillich
Bringing AI Everywhere
#1about 3 minutes
Understanding the current barriers to AI adoption
Despite AI's potential, low production deployment rates and infrastructure challenges are significant hurdles for many organizations.
#2about 3 minutes
The three evolutionary phases of enterprise AI
Enterprise AI is evolving from individual copilots to integrated workflow automation and finally to complex AI-driven functions.
#3about 4 minutes
Intel's strategy for bringing AI everywhere
Intel's approach to democratizing AI is built on four pillars: innovation, value maximization, ubiquitous deployment, and responsible use.
#4about 3 minutes
Choosing the right hardware for different AI workloads
Intel offers specialized hardware like Gaudi for power users and integrated accelerators like AMX and NPUs for general-purpose AI tasks.
#5about 3 minutes
Enabling hybrid AI with an open software stack
Hybrid AI splits workloads between client and cloud, enabled by an open software stack featuring tools like OpenVINO and oneAPI.
#6about 4 minutes
A case study on AI-powered code optimization
Turing Tech uses Intel's Gaudi accelerators and oneAPI to power an AI platform that automates code refactoring and performance optimization.
#7about 3 minutes
Using RAG for secure enterprise data integration
Retrieval-Augmented Generation (RAG) allows enterprises to use private data with LLMs securely by augmenting prompts without retraining models.
#8about 2 minutes
Building trusted environments for responsible AI
Hardware-level security features like Intel TDX create trusted compute environments essential for data privacy and regulatory compliance.
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Matching moments
01:08 MIN
Moving beyond consumer AI to its real-world impact
AI in Africa: How can we bounce back?
04:04 MIN
Navigating AI regulation and open source
The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
06:43 MIN
Building trust and skills for the future of AI
Tackling the Risks of AI - With AI
02:46 MIN
Overcoming legal and security roadblocks for AI adoption
The AI Skills Gap: What Tech Leaders Must Get Right
02:19 MIN
Defining what intelligence everywhere means for consumers
Intelligence Everywhere: The Future of Consumer Tech
03:27 MIN
Why AI giga factories are not enough for sovereignty
AI Sovereignty: What Does It Take?
07:11 MIN
Addressing legal challenges and building trust in AI systems
From Monolith Tinkering to Modern Software Development
05:17 MIN
Overcoming key challenges in cloud AI adoption
Reference Architecture of AI in the Cloud
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