Summary
Disclaimer: This summary has been generated by AI. It is experimental, and feedback is welcomed. Please reach out to info@qcon.ai with any comments or concerns.
The panel titled Scaling AI in Engineering - Driving Alignment, Adoption and Impact featured discussions among executives including Peter Bell, Daniel Doubrovkine, Rachana Kumar, Tom Janofsky, Rob Duffy, and Gautam Guliani. The focus was on the journey from AI pilot projects to achieving impactful AI-driven transformations in organizations. Key themes included:
- Building Consensus: Establishing a framework involving legal, security, compliance, and audit teams for safe and rapid AI experimentation.
- Creating a Supportive Culture: Cultivating an organizational environment that encourages experimentation and is tolerant of initial failures as part of the learning and integration process.
- Managing Experimentation: Strategies for identifying, prioritizing, and managing AI experiments effectively, ensuring they align with business objectives.
- Scaling Successful Pilots: Methods for sharing knowledge and driving AI adoption across the organization to maximize efficiency and impact.
Panelists shared insights from their experiences on transforming organizational processes and leveraging AI tools across various stages of the software development lifecycle (SDLC). They emphasized the importance of having AI centers of excellence and specialized teams to foster innovation in AI applications beyond initial pilots, particularly those that engage not only technical but also operational dimensions of businesses.
This is the end of the AI-generated content.
AI is already reshaping software development—but most companies are stuck in pilot mode, unsure how to move from experiments to meaningful transformation. This panel will share practical experiences in adopting and scaling AI across the software development lifecycle.
We'll be sharing practical experiences around:
- Building consensus: Creating a framework with legal, security, compliance and audit to allow for fast, safe experimentation with new tools and techniques
- Setting the right tone: Creating a culture that supports successful experimentation and adoption
- Managing experimentation: Identifying, prioritizing and managing AI experiments
- Scaling successful pilots: Driving effective knowledge sharing and adoption across the org
If you're involved with driving AI experimentation and adoption within your company, it's your chance to learn from others experiments so you can accelerate your impact.
Speaker
Peter Bell
Founder & CTO of Gather.dev, Host of the O'Reilly CTO Hour and the CNCF Executive Summits at KubeCon
Peter is the Founder & CTO of Gather.dev, an invite-only brain-trust for CTO's and other senior engineering leaders building the future of the engineering org. He's writing a book for O'Reilly on Scaling AI in Engineering - a Leaders Guide to Driving Alignment, Adoption and Impact. He's the host of the O'Reilly CTO Hour and the CNCF Executive Summits at KubeCon and he's writing systems to wrangle agents to transform context into business outcomes. Previous he was SVP Engineering at General Assembly, built a team of 50 at Flatiron School in 18 months and taught Digital Literacy and Data Science at Columbia Business School.
Find Peter Bell at:
Speaker
Daniel Doubrovkine
Ex-CTO, People Leader and Engineering Practitioner in OSS and AI
Daniel Doubrovkine (aka dB.) is a seasoned Entrepreneur, people leader, open-source enthusiast, and lifetime artist. Daniel is former CTO of Artsy.net, led the Augmented Engineering team at Shopify, and served as Principal Engineer at AWS in New York, working on OpenSearch.
Find Daniel Doubrovkine at:
Speaker
Rachana Kumar
Global CTO, Board Member for the Liberty Science Center, Tech Advisory Council Member at the Lincoln Center for the Performing Arts, Previously VP of Engineering and Managing Director of @Etsy Mexico
Rachana Kumar is a global CTO and product executive with more than two decades of experience leading high-impact innovation, scaling hyper-growth organizations, and driving transformation in e-commerce, media and entertainment companies. She has managed global teams of over 1,200 employees, overseen $1B+ in P&L responsibility, and consistently delivered double-digit revenue and profitability growth. As Chief Technology Officer at Etsy, Rachana led the company through a major AI and platform transformation.
She developed the strategy and scaled AI and the adoption of generative AI by 5X, embedding it in internal processes and the customer experience. Under her leadership, Etsy achieved 99.95% system uptime while maintaining 100% renewable energy for operations across a company that facilitated $13B in sales annually with $2.8B in revenue. She directed global teams across engineering, security, data, cloud infrastructure, and IT, with a deep focus on inclusive leadership and people development.
Rachana served as VP of Engineering and Managing Director of Etsy Mexico, where she launched and scaled the company’s first Mexico office, led a successful acquisition, and helped expand Etsy’s customer base from 46 million to 100 million. In earlier roles at Etsy, she played a key part in scaling the mobile platform and led product engineering through the company’s hypergrowth phase.
Rachana serves on the Board of Trustees for Liberty Science Center and SciTech Scity, a 300,000-square-foot innovation campus in the NY/NJ metro area and is a Tech Advisory Council Member at the Lincoln Center for the Performing Arts, where she helps guide the future of digital engagement for one of the world’s most iconic cultural institutions. She is also an advisor and angel investor for several mission-driven startups.
She holds a Master of Public Administration from Columbia University and a Bachelor of Engineering from RV College of Engineering in India. A frequent keynote speaker and thought leader, Rachana has appeared at Web Summit, WSJ Tech Live, Microsoft Build, and Google Next. Her insights have been featured in the Wall Street Journal, Tech Informed, and the IT Visionaries Podcast. Recognized among the Top 100 Leaders in Tech and the 50 Most Powerful Women in Tech.
Speaker
Tom Janofsky
CTO Scaling SaaS & Marketplace Platforms, Building High-Impact Engineering Orgs
Tom Janofsky is CTO of SpotHero and a veteran technology leader who has scaled teams from seed stage to global enterprises across SaaS, MarTech, and marketplaces.
Speaker
Rob Duffy
Chief Technology Officer @HealthEdge, Ex Amazon, Salesforce, Expedia
Robert Duffy is an accomplished technology leader with an extensive background in product development and engineering.
Previously, Robert served as the Chief Product and Technology Officer at Drizly, an Uber Company, where he played a pivotal role in bringing the company’s product and engineering teams together post-acquisition.
Robert has held engineering leadership positions at leading tech companies including Salesforce.com, Amazon, and Expedia. At Salesforce, he was the Vice President of Software Engineering, leading the team responsible for the tech driving the Lightning transformation.
With a Bachelor of Science in Computer Science & Engineering from Heriot-Watt University, Robert has consistently delivered top-tier software solutions that address complex business challenges. His leadership style emphasizes collaboration and innovation, making him a respected figure in the technology sector and he frequently speaks on team transformation at industry events and tech podcasts.
Speaker
Gautam Guliani
Content AI @Cengage Learning
Gautam Guliani is a seasoned technology leader with over two decades of experience building and scaling engineering organizations across education, healthcare, and B2B SaaS. He currently serves as Vice President of Software Engineering at Cengage Group with a primary focus on responsible use of genAI tech for content development and production
Previously, Gautam led technology teams at AbleTo (a virtual behavioral health platform), and has held senior roles at HOMER, 2U, AppNexus, Prometheus Global Media, Kaplan, TheStreet, and The New York Times. Gautam is passionate about applying his hands-on engineering and architecture experience to driving large-scale digital transformation and AI-enabled product development.