DaaX to Host Four-Part Technical Webinar Series on Neuro-Symbolic AI, Scalable AI Systems, xOps for AI, and Industry AI Applications
Silicon Valley startup brings leading experts to discuss trustworthy AI, data systems, and real-world enterprise use cases
Santa Clara, CA, USA — May 5, 2026 — DaaX today announced a four-part technical webinar series featuring leading experts in neuro-symbolic AI, scalable data systems, AI Ops, and real-world AI applications across industries.
The webinar series will run every three weeks starting in June and is designed for developers, enterprise technologists, and AI practitioners seeking to build reliable, production-grade AI systems. It is free to attend.
At a Glance
- Scalable & Reliable Data Systems: The Foundation for Enterprise AI — June 3, 2026
- Introduction to Neuro-Symbolic AI — June 24, 2026
- AI in Oil & Gas: Turning Complex Data into Actionable Intelligence — August 12, 2026
- xOps for AI: Building and Operating Large-Scale Systems — September 9, 2026
The Webinar Series
Webinar 1
Scalable & Reliable Data Systems: The Foundation for Enterprise AI
Date & Time
June 3, 2026, 9:00 AM PDT to 9:45 AM PDT
Overview
Learn the core principles behind building data systems that can scale with growing demands while maintaining performance and reliability. This session covers practical architectures and best practices for supporting modern AI and data-driven applications.
Panelists
- Tony Fernandes, formerly Vice President @ Visa | Payment Processing, Architecture. Tony Fernandes is a seasoned technology executive with over three decades of experience leading large-scale digital transformation and mission-critical systems, most recently at Visa Inc.
- Amalendu Chakraborty, DaaX Advisor, formerly at Apple & Oracle. Amalendu is a senior technology leader and systems architect and has successfully built and scaled global data systems across multi-country enterprises, delivering resilient, high-performance architectures that support mission-critical operations.
- Sajjad Khazipura, Co-Founder & CTO of DaaX. Leads the development of neuro-symbolic AI systems that combine LLMs with structured reasoning to deliver trustworthy enterprise intelligence.
Details & Registration
https://daax.ai/webinars/scalable-reliable-data-systemsWebinar 2
Introduction to Neuro-Symbolic AI
Date & Time
June 24, 2026, 9:00 AM PDT to 9:45 AM PDT
Overview
Discover how Neuro-Symbolic AI combines large language models with structured reasoning to build more reliable and explainable AI systems. Learn why enterprises are moving beyond LLM-only approaches to achieve trustworthy, production-ready results.
Panelists
- Dr. Parisa Kordjamshidi, DaaX Advisor, Associate Professor, Computer Science and Engineering, Michigan State University; Neuro-symbolic AI expert.
- Sajjad Khazipura, Co-Founder & CTO of DaaX. Leads the development of neuro-symbolic AI systems that combine LLMs with structured reasoning to deliver trustworthy enterprise intelligence.
Details & Registration
https://daax.ai/webinars/neuro-symbolic-aiWebinar 3
AI in Oil & Gas: Turning Complex Data into Actionable Intelligence
Date & Time
August 12, 2026, 9:00 AM PDT to 9:45 AM PDT
Overview
Explore how AI is transforming oil & gas by unlocking insights from complex, fragmented operational data. See real-world use cases that drive efficiency, safety, and better decision-making.
Panelists
- Dr. Tamas Nemeth, DaaX Advisor; Formerly at Chevron; Research Scientist, Algorithms in Physics and AI; most recently led a technical team there to optimize cloud-based geophysical workflows and as part of these efforts experimented with agentic AI for autonomous workflows.
- Sajjad Khazipura, Co-Founder & CTO of DaaX. Leads the development of neuro-symbolic AI systems that combine LLMs with structured reasoning to deliver trustworthy enterprise intelligence.
Details & Registration
https://daax.ai/webinars/ai-oil-gasWebinar 4
xOps for AI: Building and Operating Large-Scale Systems
Date & Time
September 9, 2026, 9:00 AM PDT to 9:45 AM PDT
Overview
Understand how xOps practices—DevOps, DataOps, and MLOps—enable teams to build and operate AI systems at scale. Learn how to improve reliability, reduce operational risk, and keep complex systems running smoothly in production.
Panelists
- Sajjad Khazipura, Co-Founder & CTO of DaaX. Leads the development of neuro-symbolic AI systems that combine LLMs with structured reasoning to deliver trustworthy enterprise intelligence.
- Subramaniyam (Sam) Pooni, DaaX Architect. Machine Learning Compiler Architect and AI Systems Leader with 30 years of hardware–software co-design experience across custom ASICs, NPUs, DSPs, and heterogeneous GPU platforms.
Details & Registration
https://daax.ai/webinars/xops-large-scale-systemsAbout DaaX
DaaX Technologies Inc. is an AI startup headquartered in Silicon Valley. DaaX's founders are technology entrepreneurs with proven track records of success. The company's mission is to deliver agentic enterprise search solutions that are the most trustworthy as measured by industry-standard benchmarks, enabling enterprises to unlock the full value of their structured and unstructured data. For additional information, visit www.daax.ai.
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