K1

Chip Huyen
Claypot AI

KEYNOTE | GenAI Is So Overwhelming. What Do I Do?

AI is changing the world—we just don't know exactly how yet. In this keynote, we'll first discuss how the ability of machines to generate convincing human-like content brought about a new paradigm that differs from everything we had seen before. Next, we will go over a simple framework for discovering risks and opportunities for your organizations, with lessons from other companies. Finally, we will cover how to stay competitive in the future as individuals. Going beyond speculation and fear, this talk will hopefully help you see that there may be more opportunities than risks. Chip Huyen plans to keep this talk as current as the rapidly changing landscape of AI, so be sure to be there!

W3

Agile/DevOps Transformations*

We Got Our Monolith to Move at Light Speed

Marianna Chasnik & Corry Stanley, Discover Financial

W6

AI/ML*

Integrating Generative AI in Your Workflow

Misra Apurva, Truckstop

W8

Agile/DevOps Teams & Leadership*

Tales of Dojo Coaching—Insights for All

Jess Brock, Edward Jones

W14

AI/ML*

AI in DevOps for Improving Engineering Team Productivity

Chris Navrides, Dev Tools, Inc.

K2

Tricia Broderick
Ignite Insight + Innovation

KEYNOTE | Lead Without Blame

Hopefully, no leader is walking around asking "who can we blame today?" Yet, the blame experienced in today’s fast-changing VUCA—and, let’s be honest, crazy world—is only escalating in the wrong direction. In the quest to deliver results, leaders rely on old habits, like building cooperative environments or attempting to hold people accountable. But, in the end, everyone keeps experiencing the frustration from disappointing outcomes. Tricia Broderick, the co-author of Lead Without Blame and leadership advisor, knows this never-ending battle doesn't have to continue. Join Tricia to explore what is necessary to enable building resilient learning teams that handle any unexpected and challenging tasks that come their way. Expect to discover what inhibits a learning environment, along with resiliency techniques that help continue the learning momentum. And walk away with a little hope for what can be tomorrow.

W16

Agile & DevOps Practices*

Continuous Security Compliance Realized: Reducing the Regulatory Burden with DevSecOps Automation

Wilson Tarleton, Protiviti

W19

Tools & Automation*

DevSecOps in a Bottle—The Care and Feeding of Pocket Pipelines

Jennifer Hwe, Northrop Grumman

K3

Jeff Payne
Coveros

KEYNOTE | The DevOps Alphabet Soup

Have you ever been confused by the soup of terms around DevOps? Do you know what they actually mean? DevOps, DevSecOps, DevTestOpt, DevPerfOps, and even BizDevTestSecPerfOps are tossed around in our industry! A lack of understanding of these disciplines and terms often creates a mismatch in expectations when companies embark on DevOps efforts–leading to disappointment when the effort doesn't meet expectations. Join Jeffery Payne as he discusses various DevOps terms and sets the record straight on what’s important to each organization. He will help you and your team understand each of these business areas, what's important, and why. You will learn the key differences between DevOps and the rest of them and know how to use the best of them! You’ll know what you should care about and why. Leave with a vision for your DevOps practices and clear the DevOps alphabet out of the soup.

K4

Prateek Singh
ProKanban.org

KEYNOTE | Chasing Predictability with AI: The Model of You Outperforms You

Usually, the first question a client asks about software development is: "When will it be done?". Traditional methods to answering this question are fraught with errors. The most common errors include heavy reliance on estimates and the use of averages to give a deterministic answer. What goes through your mind when you try to answer this question? Now imagine that we could take the same process that your mind goes through and model it? Get rid of the biases that we as humans have by using the data our systems already track. Advances in AI, combined with the rapid growth of data across industries, has prompted the exploration of novel methods for data analysis and forecasting. Join Prateek Singh as he talks about techniques that are over 100 years old, but apply the same principles we use today. With very little estimation and simple measurements, predictive models can better inform and equip teams, managers, and customers with information about possible completion dates of software projects. You'll discover exactly what these techniques are and how you can use your data to do the same thing the National Hurricane Center, sports betting websites, and financial advisors do—make better predictions than we do!

T1

Agile & DevOps Leadership*

Smooth Sailing: Navigating Release Management in the DevOps Landscape

Priyanka Halder, Oscar Health

T3

Agile/DevOps Transformations*

Building Hyper-Scalable and Cost-Effective Solutions with Serverless Cloud Technology

JBharat nagpal, Capital One

T9

Agile & DevOps Practices*

The Art of Getting to Less—Embracing the Agile Principle of Simplicity

Robert Clawson, Discover Financial Services

T11

Development & Testing*

Testing Your Way Out of Microservices Hell

Ryan Hoban, Bloomberg

T16

Agile & DevOps Practices*

Agility for Ops: Maximizing Efficiency & Adaptability of Non-IT Teams

Sheyinka Harry, QualityWorks Consulting Group