Aliya Itzkowitz and Sam Gould discuss their AI Design Sprint Day, helping publishers identify AI opportunities. They explore planning, use cases, building vs. buying AI tools, regional differences, and concerns about mainstream platforms for news information.
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Quick takeaways
The AI-Designed Sprint Day aimed to move publishers from talk to action by showing them tangible AI-driven solutions and encouraging implementation.
The use cases discussed during the AI-Designed Sprint Day mainly focused on text-based applications, content personalization, and improving content quality before publication.
Deep dives
The Purpose of the AI-Designed Sprint Day
The AI-Designed Sprint Day was created to help publishers move beyond talking about AI and actually implement AI-driven solutions. The goal was to show publishers what they can do with AI in a tangible way and to encourage action rather than just discussions.
The Structure of the AI-Designed Sprint Day
The AI-Designed Sprint Day consisted of multiple sessions, including educational talks, brainstorming activities, and team collaboration. The day was focused on generating ideas, identifying opportunities for AI implementation, and developing actionable plans.
Key Use Cases for AI in Publishing
The use cases discussed during the AI-Designed Sprint Day primarily revolved around text-based applications and content personalization. Popular ideas included reformatting content to suit different user needs, such as creating bullet-point versions or shorter versions of news stories. Other use cases involved sub-editing and checking functions to ensure content quality before publication.
Next Steps for Publishers
The next steps for publishers after the AI-Designed Sprint Day involve securing buy-in from the organization, obtaining funding, and tracking the impact of AI initiatives. Publishers are also considering whether to buy or build AI tools and solutions, with a focus on understanding the ROI and potential revenue streams AI can bring.
Aliya Itzkowitz and Sam Gould from FT Strategies join Nikita Roy to discuss their AI Design Sprint that they used to help nearly 20 publishers identify and validate potential AI opportunities.
Aliya is a Manager at FT Strategies where she has consulted over 30 publishers across Europe, Asia, Africa and North America. Her work focuses on the critical shifts facing publishers today, including rethinking revenue models and understanding how to leverage AI. Before the FT, she worked at Dataminr, bringing AI technology to newsrooms, and at Bloomberg as a journalist. Aliya has a BA from Harvard University and an MBA from the University of Oxford.
Sam is a data scientist at FT Strategies and has worked in consulting, helping clients to solve strategic business challenges using data. He has helped organizations in both the public and private sectors, from tech to healthcare to consumer products, define their AI roadmaps and strategies. He has also worked as a data scientist, designing and building data and AI systems. Sam designed the FT Strategies AI Design Sprint methodology working in partnership with the Google News Initiative.
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