John Sly
Applications Systems Analysis and Programming Manager
Ann Arbor, Michigan, United States
Actions
I am a software developer and data engineer specializing in large-scale ETL systems and healthcare data integration. With over a decade of experience in PHP, PostgreSQL, and enterprise data workflows, I bridge legacy architectures with modern, automated solutions that improve reliability and transparency. My talks focus on practical engineering—what really works when moving complex data at scale and finally delivering something impactful at the end.
Area of Expertise
Topics
Team Management in the Era of AI
This presentation explores how artificial intelligence is reshaping modern management practices, organizational expectations, and leadership priorities. As AI becomes embedded in everyday workflows, it is fundamentally changing how work is executed, measured, and supervised—requiring leaders to rethink long-standing assumptions about productivity, accountability, and control.
One of the most significant shifts is the move away from tracking time and visible activity toward focusing on outcomes and impact. In an AI-augmented environment, employees can complete analysis, writing, coding, and planning tasks in dramatically different amounts of time. This variability makes traditional measures such as hours worked or online presence less meaningful, while emphasizing clarity of goals, deliverables, and results. Managers are increasingly expected to define success in terms of value created rather than effort observed.
The rise of AI also accelerates the transition to hybrid and distributed work environments. With teams no longer reliant on physical proximity, leadership must evolve to maintain trust, alignment, and collaboration across locations. This includes reducing proximity bias, improving asynchronous communication, and intentionally designing workflows that support both remote and in-office contributors equally.
At the same time, AI introduces new risks that require stronger guardrails and checks and balances. Issues such as data privacy, intellectual property protection, hallucinated outputs, and embedded bias make it essential for organizations to implement clear policies around acceptable use, validation, and accountability. Human oversight remains critical, particularly in decision-making and external-facing outputs, where accuracy and judgment are essential.
Managers themselves are also seeing their roles evolve. Rather than focusing on task assignment and monitoring, they are becoming enablers of productivity—removing blockers, guiding prioritization, coaching decision-making, and fostering environments where experimentation is safe. In this context, psychological safety, continuous learning, and AI literacy become essential components of team development.
Ultimately, success in the era of AI will belong to organizations that can balance speed with responsibility, autonomy with governance, and automation with human judgment. The most effective leaders will not simply adopt new tools, but will reshape how teams think, operate, and deliver value in a rapidly accelerating world.
Bridging Legacy Apps and Modern Data in Healthcare: Bringing Structure to the Chaos
Many healthcare organizations live in a world of hybrid systems: half modern APIs, half legacy apps. Instead of replacing everything, what if you could connect and structure the data you already have?
This session explores how to unify siloed systems through smart metadata, semantic layers, and dependency-driven queries. You’ll learn strategies to evolve existing systems gradually—without downtime or total rewrites.
Building a Productive and Happy Team: From Clear Communication to Consistent Action
Productivity and happiness aren’t opposites—they’re built from the same foundation: trust, clarity, and follow-through. In this talk, John Sly explores how great teams grow not just through technical excellence, but through consistent human practices that make collaboration enjoyable and sustainable.
We’ll start with communication—how to make it clear, respectful, and actionable—then move into tools that enhance teamwork instead of hindering it. Finally, we’ll focus on how actions back up words: how leaders and peers can model the behaviors that create accountability and trust.
You’ll leave with practical strategies to reduce friction, improve alignment, and strengthen your team’s sense of shared purpose—whether you manage others or simply want to make your team a better place to work.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top