enterprise AI · internal platforms · organizational enablement

Michael Zidar_

I build the teams and platforms that turn AI into enterprise capability.

Director of Corporate AI Solutions at Axon, leading engineers, enablement professionals, and cross-functional partners working to make the business faster and more adaptable.

At Axon Enterprise, I lead engineers, enablement professionals, and cross-functional partners building enterprise AI capability. We create internal platforms, reusable practices, and practical guardrails that help teams adopt new tools without rebuilding the approach every time the technology changes.

My background in public safety technology, data systems, and applied research keeps that work grounded in real operational problems.

01

Internal AI platforms

Building reusable systems and developer foundations that turn emerging AI tools into dependable enterprise capabilities.

02

Enterprise enablement

Giving teams the skills, support, and practical patterns to apply AI to meaningful business problems.

03

Adaptive AI operations

Creating governance, evaluation, and shared practices that let the organization move quickly as models and tools change.

04

Public safety technology

Applying operational experience, research, and data systems expertise to technology adoption in public safety.

building in public
live project public data infrastructure

POP Datasets

A growing discovery layer for problem-oriented policing (POP) and public safety open-data sources—designed to make agency information easier to find, evaluate, and use.

  • agency discovery
  • policy sources
  • open data
  • source validation
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Director, Corporate AI Solutions

2026 – Present

Sr. Manager, Corporate AI Solutions

2024 – 2026

Adjunct Assistant Professor

2025 – Present

Assistant Professor

2024

Sr. Manager, Public Safety Innovation Technology

2022 – 2024

Adjunct Faculty

2022

Crime Analyst and Technical Lead

2018 – 2022

Adjunct Faculty

2018 – 2019

Crime Analyst

2015 – 2022

Ph.D., Information Technology

Dissertation: Policing in the AI Era: A Mixed-Methods Analysis of Police Adoption of Information Technology

M.S., Criminal Justice

Specialization in Data-Driven Public Safety and Technology Adoption

B.S., Criminal Justice

Cum Laude, Minor in Political Science

Zidar Analytics LLC

AI and technology consulting for public-sector, research, and mission-driven organizations — helping leaders shape AI strategy, build internal tooling, strengthen data practices, and launch practical enablement programs.

Available for select advisory, research, speaking, and implementation engagements.

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Zidar, M. (2023). Policing in the AI Era: A Mixed-Methods Analysis of Police Adoption of Information Technology. Doctoral dissertation, University of Cincinnati.

Feldmeyer, B., Cullen, F. T., Sun, D., Kulig, T. C., Chouhy, C., & Zidar, M. (2022). The community determinants of death: comparing the macro-level predictors of overdose, homicide, and suicide deaths, 2000 to 2015. Socius, 8.

Said, H., Zidar, M., Varlioglu, S., & Itodo, C. (2021). A Framework for the Discipline of Information Technology. Proceedings of the 22nd Annual Conference on Information Technology Education.

Ozer, M., Zidar, M., Deryol, R., Varlioglu, S., Eldivan, I. S., & Akbas, H. (2020). Creating A Real-Time Geocoding System: Implications of Open Source for Public Safety. 2020 International Conference on Computational Science and Computational Intelligence (CSCI).

Zidar, M. S., Herold, T. D., & Eck, J. E. (2019). Superusers of Small-Town Police Resources. The Police Chief, 86(10).

White, D. R., Hepworth, D. P., & Zidar, M. S. (2018). Texting and Driving: Is It Just Moral Panic?. Deviant Behavior, 39(11).

Zidar, M. S., Shafer, J. G., & Eck, J. E. (2017). Reframing an Obvious Police Problem: Discovery, Analysis, and Response to a Manufactured Problem in a Small City. Policing: A Journal of Policy and Practice.

White, D. R, Kyle, M. J., Galli, P., & Zidar, M. S. (2017). Youth Attitudes Regarding Police Effectiveness and Trust in One Midsize City. The Police Chief, 84(10).