Sasha Czarkowski (Rosenbaum)
Principal, Ergonautic
Sasha is a Principal at a new venture, Ergonautic
With a degree in Computer Science, an MBA, and two decades of experience across development, operations, product management, and technical sales, Sasha Rosenbaum brings a unique perspective to optimizing the organizational flow of work, bridging gaps with empathy and insight.
Presentations
Making DevOps Valuable
Monday, 5:00 PM EST
In the past decade, most organizations have invested in DevOps, and by now many of those efforts have failed to meet expectations of the executive sponsors. Organizations have brought in the latest and greatest tools and often sped up their development process without seeing a clear benefit. Some invested in culture only to see collaboration wane and any progress stall. The DevOps pendulum swings between focus on technology and culture. The buzzwords, rituals and tools keep changing, but the results often seem to worsen over time.
Optimizing any one part of a system is often suboptimal for the whole system. The goal should never be to adopt but to adapt to the opportunities and challenges of our organizations, but what are those? This talk will give attendees a framework to analyze the flow of work through their unique sociotechnical system, to understand the specific flow of value and propose metrics to identify and prioritize iterative improvements. The presentation will be technology agnostic but will focus on mapping capabilities that appropriate technical tools and skills should achieve together.
From Hype to Help: Intelligent GenAI Adoption to Avoid Productivity Loss
Tuesday, 3:15 PM EST
Its been 2 years since Large Language Models became a household name, and every company on the planet is expecting to see significant productivity
gains across multiple departments from using genAI-powered tools.
Yet, emerging research tells us that naively utilizing genAI can hurt the organizational productivity as much as it helps it.
This shouldnt come as a surprise as we have seen similar results with companies naively implementing novel technologies and methodologies before. We know how to do these things well, yet we keep falling into the trap of assuming that technology alone solves the problem and fail to account for the human factors of sociotechnical systems.
We also tend to believe that novel systems require novel governance and processes, causing us to solve and re-solve the same problems over and over again.
In this talk, we will cover some of the common causes of productivity loss via naive adoption of genAI tools, and how to take the human factors into account to intelligently design the sociotechnical systems to maximize genAI-powered productivity gains.