Keeping Pace With AI: The Skills and Workflows Teams Need Now

Join a small room of AI and IT decision-makers after work for drinks, candid conversation and a program you won't find at a typical tech conference.​

A different kind of AI event

​Eighty-nine percent of executives say knowledge workers are moving faster with AI, but only 6% can point to a specific, measurable payoff, according to Atlassian's research. This evening is about what's in that gap.
​VentureBeat's Matt Marshall presses leaders from Atlassian, Snowflake and WGU on what's really happening as AI reshapes their teams: where the promise matches their experience and where it doesn't. Then the floor opens to you. Come ready to share, push back and ask the hard questions. Afterward, keep the conversation going over food and drinks.

​You'll leave knowing what's actually working, from the people making it work.

​Thursday, Nov 12 · Doors 5:00 PM · Program 5:30 PM · Networking, food and drinks until 8:00 PM

The Agenda

​Session 1: Why the hardest part is no longer writing code: Lessons from Snowflake's move to AI-native engineering

Speaker: Will Allen, Head of Snowflake CoCo and CoWork, Snowflake

As agents make it faster to write code, the hard part of building a product changes. Teams still have to decide what’s worth building, check that it solves a real customer pain point, and know when it’s ready to ship. Will Allen is dealing with that shift from both sides: he builds AI products at Snowflake while also changing how his own team works with AI.
​He’ll share what Snowflake has learned in its move to AI-native engineering, from spotting the early adopters who bring their teams along to rethinking engineering processes built before AI. He’ll also explain why Snowflake is leaning into early-career hiring and how AI fluency factors into hiring decisions.

​Session 2: AI in Action: Building the Skills and Workflows Teams Need Now

Speaker: Dr. Molly Sands, Head of Teamwork Lab, Atlassian

Speeding up individual tasks without rebuilding how teams work just creates faster collisions. Drawing on Atlassian’s research, Molly Sands looks at why the gains stall and what changes in roles, skills and team design separate the teams getting results.

​You’ll learn:

​Why faster individuals don’t mean faster organizations
​What the top 14% of AI-native teams do differently
​How to shift AI from a personal productivity hack to a team-level coordination layer

​Session 3: AI Won’t Just Change Jobs. It Will Change What It Means to Be Job-Ready.

Speaker: Paul Bingham, SVP & Executive Dean, School of Technology, WGU

​For 140 years, technology has reshaped jobs. AI is doing it on a far shorter timeline, and employers are the ones who have to close the skills gap. Paul Bingham shares how organizations can help trusted employees upskill before their roles change, and what history teaches about getting through technological disruption.

​He’ll also share how education can turn fear and hype into action, including WGU’s Applied Experience Program, which shows what future employees can do, not just what they know, and how its School of Technology is building AI-forward curricula in infrastructure operations and cybersecurity.

Reserve your spot

Link to register: https://luma.com/f0lufgmr

​Space is intentionally limited to keep the room small and the conversation real. This is an in-person only event.

​Note: Reservations can take up to 24 hours to process. Please check your spam folder for emails from VentureBeat about the event.