Anat
Heilper
Director of AI and Advanced technologies at Intel
"Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment"
"Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment"
Wed May 21 - 8:50 AM EDT/New York (See in local time)
Add to Calendar
05/21/2025 8:50 AM
05/21/2025 09:10 AM
America/New_York
#WTGC2025
"Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment"
#WTGC2025
"Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment"
"Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Bridging the Innovation Gap: Software Challenges in AI Accelerator Co-Design from Concept to Deployment
This talk will be an overview of the challenges of building the AI accelerators that are in extensive for generative AI, recommendation systems, use by openAI, Anthropic and other generative AI models that are in every day use.Key Takeaways
- HW/SW co-design is essential for building efficient, scalable AI accelerators-optimizing both together achieves much better results than working on each in isolation
- Close collaboration between hardware and software teams leads to more innovative and production-ready AI systems
- Advanced software techniques-like quantization and memory optimization-can dramatically boost performance and efficiency for large AI workloads
Bio
Anat Heilper is a seasoned technology leader with over 20 years of industry experience and a decade specializing in AI accelerator architecture. As Director of Software & Systems Architecture for AI at Intel, Anat has driven innovation in large-scale AI infrastructure, leading cross-regional teams and delivering solutions that have achieved significant efficiency gains for next-generation language models. She is recognized for her expertise in HW/SW/algorithm integration, holding multiple patents in AI optimization, and for her hands-on approach to both technical strategy and team leadership-mentoring engineers and shaping technical direction for organizations of 80+ engineers.Anat’s career spans Fortune 500 collaborations, founding technical leadership at a data analytics startup, and development of industry-leading AI accelerators deployed at scale. She is a frequent speaker at industry conferences, an Intel Achievement Award recipient, and an active mentor and advocate for women in technology, designing and teaching workshops and supporting engineering communities. Anat holds a BSc in Computer Science (cum laude) from the Technion – Israel Institute of Technology.
