Stephan Gillich

Bringing AI Everywhere

The biggest barrier to enterprise AI isn't the models—it's infrastructure complexity. An open, hybrid approach provides the solution.

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.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

Moving beyond consumer AI to its real-world impact
01:08 MIN

Moving beyond consumer AI to its real-world impact

AI in Africa: How can we bounce back?

Navigating AI regulation and open source
04:04 MIN

Navigating AI regulation and open source

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Building trust and skills for the future of AI
06:43 MIN

Building trust and skills for the future of AI

Tackling the Risks of AI - With AI

Overcoming legal and security roadblocks for AI adoption
02:46 MIN

Overcoming legal and security roadblocks for AI adoption

The AI Skills Gap: What Tech Leaders Must Get Right

Defining what intelligence everywhere means for consumers
02:19 MIN

Defining what intelligence everywhere means for consumers

Intelligence Everywhere: The Future of Consumer Tech

Why AI giga factories are not enough for sovereignty
03:27 MIN

Why AI giga factories are not enough for sovereignty

AI Sovereignty: What Does It Take?

Addressing legal challenges and building trust in AI systems
07:11 MIN

Addressing legal challenges and building trust in AI systems

From Monolith Tinkering to Modern Software Development

Overcoming key challenges in cloud AI adoption
05:17 MIN

Overcoming key challenges in cloud AI adoption

Reference Architecture of AI in the Cloud

Featured Partners

Related Videos

See all videos
When worlds collide: How will generative AI change the way we design and build software
44:00

When worlds collide: How will generative AI change the way we design and build software

Jonas Andrulis & Mike Butcher

Responsible AI in Practice: Real-World Examples and Challenges
29:35

Responsible AI in Practice: Real-World Examples and Challenges

Steffen Bosse, Mina Saidze, Ray Eitel-Porter & Björn Bringmann

Open Source AI, To Foundation Models and Beyond
31:05

Open Source AI, To Foundation Models and Beyond

Ankit Patel, Matt White, Philipp Schmid, Lucie-Aimée Kaffee & Andreas Blattmann

WWC24 - Beyond the Hype: Real-World AI Strategies Panel
24:07

WWC24 - Beyond the Hype: Real-World AI Strategies Panel

Mike Butcher, Jürgen Müller, Katrin Lehmann & Tobias Regenfuss

Panel: How AI is changing the world of work
41:06

Panel: How AI is changing the world of work

Pascal Reddig, TJ Griffiths, Fabian Schmidt, Oliver Winzenried & Matthias Niehoff & Mirko Ross

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?
28:12

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Justus Lumpe, Konstantin Vinogradov, Nils Eiteneyer & Stephan Wirris

How to build a sovereign European AI compute infrastructure
29:36

How to build a sovereign European AI compute infrastructure

Markus Hacker, Daniel Abbou, Rosanne Kincaid-Smith & Michael Bradley

The Future of Computing: AI Technologies in the Exascale Era
30:46

The Future of Computing: AI Technologies in the Exascale Era

Stephan Gillich, Tomislav Tipurić, Christian Wiebus & Alan Southall

Related Articles

View all articles
Daniel Cranney
Stephan Gillich - Bringing AI Everywhere
In the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a recent session titled "Bringing AI Everywhere," sheddi...
Stephan Gillich - Bringing AI Everywhere
Chris Heilmann
Exploring AI: Opportunities and Risks for Developers
In today's rapidly evolving tech landscape, the integration of Artificial Intelligence (AI) in development presents both exciting opportunities and notable risks. This dynamic was the focus of a recent panel discussion featuring industry experts Kent...
Exploring AI: Opportunities and Risks for Developers

From learning to earning

Jobs that call for the skills explored in this talk.

AI Software Engineer

AI Software Engineer

DTS Systeme GmbH

Docker
Kubernetes
Microservices
Machine Learning
Software Architecture