| Page 9 | Kisaco Research

Gayathri Radhakrishnan, Partner, Hitachi Ventures

Exploring how AI can be leveraged to optimize chip design and physical infrastructure development is a crucial next step to scaling infrastructure.

Gayathri Radhakrishnan, Partner, Hitachi Ventures (AI Infra Summit Speaker 2024, 2025)

Karl Freund, Founder & Principal Analyst, Cambrian AI

Quantum for AI is going to have its chat-gpt moment – some of the major players are downplaying it but it’s going to be huge when it comes.

Karl Freund, Founder & Principal Analyst, Cambrian AI (AI Infra Summit Speaker 2018-2025)

Brett Simpson, Co-Founder & Senior Analyst, Arete Research

Key enterprise concerns include privacy, accuracy, governance, security, and of course the cost of building their own AI models.

Brett Simpson, Co-Founder & Senior Analyst, Arete Research (AI Infra Summit Speaker 2019-2025)

Donald Thompson, Distinguished Engineer, LinkedIn

Agentic AI is transforming the developer workforce, we’re exploring ideas such as placing a core set of developer leads in charge of a team of "virtual developers" (agent developers), rather than hiring and then letting go of a large number of real people for certain projects.

Donald Thompson, Distinguished Engineer, LinkedIn (AI Infra Summit Speaker 2024, 2025)

Arun Nandi, Chief Data & AI Officer, Carrier

I’m looking closely at the potential of video foundation models, such as Sora from OpenAI, as an emerging area of interest for enterprises looking to explore multimodal capabilities beyond just text-based language models.

Arun Nandi, Chief Data & AI Officer, Carrier (AI Infra Summit Speaker 2023, 2024, 2025)

Donald Thompson, Distinguished Engineer, LinkedIn

With increasing compute power on the edge, the pendulum is swinging back towards smart clients that can run AI locally, potentially reducing the need for massive data center infrastructure for inference.

Donald Thompson, Distinguished Engineer, LinkedIn

Eliana Stefani, Autonomy & AI Research Engineer, Lockheed Martin

In the Lunar Rover, the AI system needs to make decisions in real-time, within 100 milliseconds, so can’t rely on sending data to the cloud. Our autonomous driving system handles mapping, localization, path planning, obstacle avoidance, and path execution. 

Eliana Stefani, Autonomy & AI Research Engineer, Lockheed Martin (AI Infra Summit speaker 2025)

Bala Chidambaram, Chief Engineer & Senior Director, Autonomy, Office of the CTO: Boeing

Our biggest challenge is verifying and validating the safety and reliability of AI/ML systems, especially for certification in commercial aviation.

Bala Chidambaram, Chief Engineer & Senior Director, Autonomy, Office of the CTO, Boeing (AI Infra Summit speaker 2025)