Kateřina Ščavnická

Data Governance in the Era of AI

An $18,000/month data warehouse confidently delivered wrong answers. The problem wasn't the AI, but the data.

Data Governance in the Era of AI
#1about 5 minutes

The high cost and failure of ungoverned data

An initial strategy of collecting massive amounts of data led to high costs, complex queries, and AI models that produced incorrect results.

#2about 2 minutes

Establishing clear data ownership with data mesh

The data mesh philosophy makes data producers responsible for their data, creating clear ownership from domain systems to domain datasets.

#3about 2 minutes

Defining the six essential aspects of a data product

A true data product must have six key qualities: ownership, documentation, data quality checks, architecture, a data contract, and security.

#4about 2 minutes

Prioritizing data governance with a tier-based system

Classifying data products into three tiers based on business impact helps focus governance efforts on the most critical assets first.

#5about 1 minute

Using data contracts to manage critical tier one data

Data contracts are formal agreements between data producers and consumers that define responsibilities, SLAs, and procedures for handling issues with critical data.

#6about 1 minute

Overcoming the cultural challenge of data governance

Implementing data governance is not just a technical fix but a long-term cultural shift that requires changing the entire company's mindset around data.

#7about 2 minutes

Measuring the impact of data governance initiatives

Implementing governance dramatically reduced the number of tracked interactions, queries, and dashboards while improving data completeness and analyst productivity.

#8about 2 minutes

Enabling successful AI with a governed data foundation

With a governed data foundation in place, AI can be successfully used for semantic validation, anomaly detection, and powering a natural language query Slack bot.

#9about 1 minute

Why data governance is the key to unlocking value

The key takeaway is that more data often leads to more confusion, and implementing strong data governance is the only way to create clarity and value.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

Why corporate AI adoption lags behind the hype
03:28 MIN

Why corporate AI adoption lags behind the hype

What 2025 Taught Us: A Year-End Special with Hung Lee

The growing importance of data and technology in HR
01:54 MIN

The growing importance of data and technology in HR

From Data Keeper to Culture Shaper: The Evolution of HR Across Growth Stages

How AI threatens the open source documentation business model
08:29 MIN

How AI threatens the open source documentation business model

WeAreDevelopers LIVE – AI, Freelancing, Keeping Up with Tech and More

Increasing the value of talk recordings post-event
04:57 MIN

Increasing the value of talk recordings post-event

Cat Herding with Lions and Tigers - Christian Heilmann

Exploring the role and ethics of AI in gaming
14:06 MIN

Exploring the role and ethics of AI in gaming

Devs vs. Marketers, COBOL and Copilot, Make Live Coding Easy and more - The Best of LIVE 2025 - Part 3

How AI-generated content is overwhelming open source maintainers
06:46 MIN

How AI-generated content is overwhelming open source maintainers

WeAreDevelopers LIVE – You Don’t Need JavaScript, Modern CSS and More

Automating formal processes risks losing informal human value
03:48 MIN

Automating formal processes risks losing informal human value

What 2025 Taught Us: A Year-End Special with Hung Lee

Shifting HR from standard products to AI-powered platforms
04:04 MIN

Shifting HR from standard products to AI-powered platforms

Turning People Strategy into a Transformation Engine

Featured Partners

Related Videos

See all videos
Unlocking Value from Data: The Key to Smarter Business Decisions-28:29

Unlocking Value from Data: The Key to Smarter Business Decisions-

Taqi Jaffri, Kapil Gupta & Farooq Sheikh and Tomislav Tipurić

Blueprints for Success: Steering a Global Data & AI Architecture19:44

Blueprints for Success: Steering a Global Data & AI Architecture

Dominik Schneider

Big Business, Big Barriers? Stress-Testing AI Initiatives.27:53

Big Business, Big Barriers? Stress-Testing AI Initiatives.

Marin Niehues

GenAI Security: Navigating the Unseen Iceberg24:33

GenAI Security: Navigating the Unseen Iceberg

Maish Saidel-Keesing

The AI Skills Gap: What Tech Leaders Must Get Right31:15

The AI Skills Gap: What Tech Leaders Must Get Right

Thomas Wollmann, Gerrit Einhoff, Kara Sprague & Alexandra Wudel

The AI-Ready Stack: Rethinking the Engineering Org of the Future28:09

The AI-Ready Stack: Rethinking the Engineering Org of the Future

Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel

AI in Leadership: How Technology is Reshaping Executive Roles28:19

AI in Leadership: How Technology is Reshaping Executive Roles

Jeff Hausmann, Jasmin Kaiser, Bernd Datler & Sonja Alvarez

Behind the Code: How Women Are Powering the Future of AI30:28

Behind the Code: How Women Are Powering the Future of AI

Alexandra Wudel, Madalina Florean & Laura Moritz

Related Articles

View all articles

From learning to earning

Jobs that call for the skills explored in this talk.