Unlock New LLM Architectural Capabilities By Retraining
Key Takeaways:
- Understand how different attention (and retention) mechanisms affect LLM behaviour, performance, and cost.
- Learn the process of retraining large language models by repurposing pretrained weights and exploring new architectures.
- Discover the latest research techniques—including long-context inference, hardware-efficient kernels, and scalable LLM families—and how to apply them in your projects.
Register for the webinar
- Tuesday, December 2, 11 AM ET
Description
AI governance is rapidly evolving, and organizations are now expected to prove that their systems are safe, trustworthy, and compliant. The arrival of ISO 42001—the world’s first AI management system standard—alongside frameworks like the EU AI Act and NIST’s AI Risk Management Framework, marks a turning point for AI accountability. Understanding these standards is now essential for every company deploying AI responsibly.
In this panel interview, Avani Desai, CEO at Schellman, Adrián González Sánchez, Global AI Architect at Microsoft, Lee Bristow, Director of Cyber & AI Governance at Saros Consulting, Yemi Akinrele, AI Governance & Privacy Counsel at Echolink Solutions, will break down what ISO 42001 means for your organization and how it connects to other major frameworks. You’ll learn what to expect from an AI audit, how to assess and mitigate risks, and how to embed responsible AI principles into your company’s operations. This session is ideal for AI, IT, and cybersecurity managers preparing for the next wave of regulation and governance.
Meet our experts
Kevin Williams
CEO - Ascend AI
I help boards and C-suites turn AI from a buzzword into a managed asset. At Ascend AI Labs, I focus on scaling AI literacy while embedding disciplined risk and governance. I bring a product-minded operator’s mindset, grounded in shipping LLM-powered solutions. I work with executives, policymakers, and investors, leading readiness audits, workshops, and ambassador programs. My work bridges regulation and innovation, translating frameworks into practical, scalable execution that drives measurable business impact.
Craig Heile
Chief Strategy Officer
I help mid-market companies embed AI into their go-to-market operations to accelerate revenue, improve predictability, and unlock hidden value. My focus is on measurable impact, increasing net new growth, expansion, retention, and productivity while reducing inefficiencies and operating costs. At Ascend AI Labs, I turn AI into practical execution, from AI-powered SDR systems to predictive customer insights. My work transforms AI from experimentation into a repeatable, scalable growth engine.
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