As Artificial Intelligence takes on a foundational role in tackling complex prediction problems, organizations are increasingly investing to adopt this technology hoping to obtain extraordinary results. However, less than 7% of AI initiatives ever reach production. Part of the challenge is that organizations drastically underestimate the inherent challenges in developing effective AI products.  While AI is often seen as a threat to replace us all, the most valuable implementations of AI within the workplace take a human-centric approach and focus on augmentation, not replacement.  

In this talk we introduce the “AI Learning Flow”, an agile and design thinking-inspired, human-centric perspective to help teams understand and navigate the challenges inherent to AI product development.  This will help you:

• Deeply immerse yourself into the user's context and derive insights into the prediction problems they face
• Co-create value models with your users and stakeholders, taking accuracy economics, training data governance, prediction ethics, and judgment enhancement into consideration.
• Continuously identify, prioritize and validate assumptions through thinly sliced experiments to minimize risk and/or uncertainty.

For years the Agile community has leveraged games to playfully introduce and reinforce Agile learnings.  Whether it's the coin game, the ball-point game, getKanban or another of the myriad of Agile gaming options, the immediately relatable AHA! moments give us new perspectives and insights to apply to our day-to-day lives.

But... we played them in person...  Which, as we all know, has become increasingly difficult in 2020.

In this talk we will take you along with us on our journey at a large (familiar, yet un-named) financial institution where we have been developing new and innovative ways to deliver interactive, fun Agile Fundamentals training in a remote setting.

During the talk we will interactively take trainers and learners through:
- what we used to do vs. what we have been doing for the past 7 months
- which games we've developed and/or modified to suit the remote setting
- which principles flow seamlessly and which can be challenging to translate into the remote context
- what we've learned to date and where we're still challenged

We might even play a game or two ;)

High-maturity DevOps teams are 10-20X more responsive to customer demands and 2X better in capturing business value. Additionally, their teams show lower rates of burnout and are 2.2X more likely to recommend their organization as a great place to work.[1] They also deploy 46X times more frequently and are 7X less likely to deploy defective changes.[2]

These are incredible findings... but undertaking a journey towards higher levels of DevOps maturity is NOT as straightforward as some consultants/literature/bloggers would lead you to believe.

It presents challenges for leadership, business, enginering and operations teams. It means changing nearly everything about how you build, test, deploy and operate software... It means taking risks.

In this session you will hear about how we supported a large (very familiar, yet unnamed) organization in taking this calculated risk, helping it realize superior business results from an investment in a DevOps enablement team.

We’ll cover how the team was built, what worked (and what didn’t), and how it unlocked a new level of business agility for the organization.

1 - Accelerate, Jez Humble

2 – 2018 State of DevOps Report