Welcome to episode 496 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Thomas Vladeck, Co-Founder and Co-CEO at Recast in New York. Driven by a mission to rid the world of wasted marketing spend, Recast are committed to using the world’s most advanced techniques and technologies to solve the most important problems in marketing measurement. By helping marketers better measure and optimize their marketing budgets, Recast is helping businesses grow more profitably and invest more money in improving products rather than wasting money on useless advertisements.

Tom co-founded Recast with Michael Kaminsky in 2019, creating the most advanced platform for measuring marketing effectiveness. His focus is mainly on underlying model and applications such as forecasting, optimization and experiment planning. Prior to co-founding Recast, Tom built a quantitative market research firm consulting for clients such as Amazon, McKinsey and Nike. He also holds a master’s degree from the London School of Economics and an MBA from Wharton.

In today’s episode, Thomas talks about:

His background and journey to co-founding Recast

How Recast optimizes spending, forecasts accurately and tracks performance

Automating modelling to excel in accurate forecasts

Their unconventional startup journey and milestones to date

AI’s rapid change, small data challenges & GPTs for interface design

What makes Recast a great place to work

To find out more about all the great work happening at Recast, check out the website www.getrecast.com and follow them on LinkedIn and X @getrecast. You can also connect with Tom directly on LinkedIn or follow him on X @tvladeck.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

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