Speaking - AI Leadership & Implementation | Viktor Malyi

I share practical insights about AI implementation and team leadership at conferences, meetups, and industry events. My talks focus on real-world experience building production AI systems and managing AI engineering teams.

2025

AI Strategy in a Six Month World: Leading When Long Term Planning Is Dead (DevFest Hamburg 2025) - November 15, 2025 AI Strategy, AI Transformation, Leadership, Rapid Iteration, Organizational Change

In this talk, I share insights gathered from conversations with various companies about their approaches to AI transformation. I emphasize the rapid pace of AI advancements and the impracticality of planning beyond six months, focusing on prioritizing tangible AI value over hype, investing in talent, and the necessity of fast iteration cycles.

Key Topics Covered: - The six-month AI strategy cycle in a rapidly evolving landscape - Three essential bets: AI coding assistants, observability & evaluation, talent transformation - Seven-step framework for developing effective AI strategy - Business alignment, readiness assessments, and risk mapping - Build vs. buy decisions in AI implementation - Fast iteration cycles and flexible execution approach

Your AI Agents lie to you. Think you can catch them? (Rhein-Neckar AI & Data Hub) - September 4, 2025 AI Agent Reliability, Production AI Systems, AI Alignment

This is my public talk from Rhein-Neckar AI & Data Hub in Heidelberg where I present research on detecting unfaithfulness in AI agent reasoning traces. Through analysis of 2,800 production agent traces, I demonstrate how to systematically identify when AI agents are being deceptive about their reasoning process and decision-making.

Key Topics Covered: - AI agent faithfulness and reliability challenges - Systematic detection of deceptive reasoning patterns - Evolution from naive keyword matching to sophisticated failure mode analysis - Practical tools for production AI system monitoring - Real-world case studies of agent unfaithfulness

3 Mistakes to Avoid Before Choosing an AI Agent Framework (LLM Practitioners Meetup Karlsruhe) - July 31, 2025
AI Agent Frameworks, Framework Selection, Production AI

This is my public talk from LLM Practitioners Meetup Karlsruhe in July 2025 where I share insights on selecting the right AI agent framework, avoiding common pitfalls, and understanding key considerations such as framework architecture & archetypes, control versus development velocity, and real-world application suitability.

Key Topics Covered: - Framework architecture and archetypes analysis - Control versus development velocity trade-offs - Real-world application suitability assessment - Common framework selection mistakes - Practical evaluation criteria for AI agent frameworks

Speaking Topics

I speak on topics where I have deep, hands-on experience building and leading AI initiatives:

AI Leadership & Organizational Strategy

  • AI Platform Strategy: From concept to production—architecting enterprise AI initiatives that deliver ROI
  • Building AI Teams from Ground Zero: Hiring strategy, team structure, and scaling AI organizations
  • AI Governance & Compliance: GDPR-compliant AI systems, regulatory frameworks, and audit trails
  • AI Transformation Leadership: Leading cross-departmental AI adoption and organizational change
  • The Executive's Guide to AI Frameworks: Making informed technology decisions without vendor hype

Production AI Systems & Engineering Excellence

  • MLOps & LLMOps at Scale: Production deployment strategies for AI systems
  • AI Agent Reliability: Detecting and preventing AI system failures in production environments
  • System Architecture for AI: Designing scalable, reliable AI platforms that actually work
  • Quality Engineering for AI: Testing strategies, reliability patterns, and failure prevention

Strategic Leadership for Technical Executives

  • From Engineer to AI Leader: Career progression strategies for technical professionals
  • Building Technical Authority: Establishing credibility and influence in AI decision-making
  • Cross-Functional AI Leadership: Aligning technical teams with business objectives
  • Technology Strategy in the AI Era: Making platform decisions that scale with organizational growth
  • Mentoring Technical Talent: Developing engineers into AI-capable team members

Anti-Hype Reality Checks

  • AI Implementation Failures: What goes wrong, why it costs millions, and how to avoid it
  • Production vs. Demo AI: Building systems that work beyond proof-of-concept
  • ROI-Driven AI Strategy: Connecting technical capabilities to measurable business outcomes
  • The Truth About AI Adoption: Real timelines, costs, and organizational challenges

Speaking Formats

  • Conference Keynotes: 20-45 minute deep dives
  • Panel Discussions: Industry roundtables and Q&A sessions
  • Workshop Sessions: Hands-on implementation guidance
  • Meetup Talks: Community-focused presentations
  • Podcast Interviews: Long-form conversations about AI leadership

Speaking Request

Interested in having me speak at your event? I'm particularly interested in:

  • Enterprise AI conferences and summits
  • CTO/Engineering leadership events
  • AI strategy and implementation workshops
  • Technology meetups and community events

Ready to discuss your event? Connect with me on LinkedIn with details about your event, audience, and preferred topics. I respond to speaking inquiries within 2 business days.

Also find me on: YouTube | Twitter