CTO Accelerator Webinars

Workshop Overview

Our free CTO webinar series covers the same topics as our in-person private workshop.  The series is targeted to current and aspiring CTOs and CIOs, engineering and product leaders, and technical architects.  

The 1 hour webinar is held twice/month and the entire series is 20 separate sessions.   Recordings of previous sessions are available on our website and on YouTube.  

Sign up now - 1st webinar is November 8, 2024 

The following topics will be covered in our CTO Webinars:

• The CTO Role: Compared and contrasted with the role of a CIO and CDO.  What traits make an effective CTO.
• Management & Leadership: The skills of a transformational leader and highly effective manager.
• Accounting - Introduction to financial statements used by the CFO and how they relate to product and technology organizations.
• Technical Debt - How to track it and identify the right amount of effort to budget for each platform.
• Organizational Design - How to organize product and engineering teams that continually innovate.
• OKRs & KPIs Differences in OKRs vs MBOs, common mistakes, successful examples.
• Availability Math: Calculating the theoretical downtime of your system and the impact of architecture and processes on downtime. 
• AKF Scale Cube: Our approach to designing highly scalable architectures.
• Availability and Scalability Patterns and Anti-Patterns: Our patterns for developing services oriented architectures and micro-services.
• Creating Fault Isolation: The importance of isolation for availability and time to market.
• Architecture Principles: An in-depth look at the top architecture principles and how to apply them.
• Monitoring, incident, and Problem Management: For early fault detection to mitigate downtime for your product(s). 
• Agile vs KanBan vs Waterfall: Understand the key differences, best practices, and when to apply each type of delivery work
  
• Introduction to Product Management: Role of product management in different industries and business models, common frameworks.
• Product Management Techniques: When to use Jobs-to-be-Done, Personas, and Journey Maps.
• Big Data Strategy: Strategic importance of deduction vs induction, how to make decisions supported by data.
• Big Data Best Practices:  Architectural components for real vs historical data, supporting internal and external stakeholders.
• Intro to Machine Learning: Supervised vs unsupervised learning, linear vs polynomial regression, training via gradient descent, neural networks, deep neural networks, back propagation, generative AI, stable diffusion, large language models
• Change Management: Leading the organization to change processes, architecture, and people. 
• Domain Driven Design: How to split and merge monolithic codebases.   Participate in an event storm for a fictional gaming platform.