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How are startups in the Kansas City region using data science to succeed? A panel of local startup leaders will discuss data strategy, finding local data talent, and the advantages and challenges of starting a data-focused business in Kansas City. Bring your questions and stay after the discussion for social time.

About our panelists:

Connor Borrego is the Founder and CEO of Playhaus, a growth and technology support agency helping businesses unlock the value of their digital assets.
With a background spanning AdAdapted, Google, AI/ML growth strategy, and software-focused business development, Connor brings over a decade of experience helping brands scale through technology. As a Midwest-based entrepreneur, he’s focused on using web3 to give small businesses and creators stronger tools to compete in today’s digital economy.

Tim Chung is a founding data scientist and engineer at Waterlily, where he builds data and product for long-term care planning. As a founding team member, he brings insight into building toward product market fit since day one and how LLMs are reshaping how small teams operate.

Shashank Daté is VP of Research & AI engineering at Rothbright, a company with its core centered around Collaborative Intelligence. His presentation is based on his experience building this core from the ground up using Data Science and Engineering as its foundation. Even though AI technology is intertwined in the organization's DNA, it has still maintained its Human First approach. Come listen to what that means in his talk "From Saying to Thinking to Doing".

Paul Negedu is the Founder of QuizLink, an adaptive learning platform with 4,000+ users that transforms any content into personalized, gamified learning experiences. QuizLink uses AI and data to personalize learning at scale, adapting to what users get wrong and resurfacing content across 9+ formats (quizzes, flashcards, podcasts, crosswords, AR problem solving, and more). QuizLink was recently accepted into the Redis Startup Program. Paul will share real-world lessons on deploying ML in an edtech product.

Thank you to Burns & McDonnell for sponsoring this event.

Verwandte Themen

Artificial Intelligence Applications
Machine Learning
Business Strategy
Data Analytics
Data Science

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