Today, my ebullient long-time friend Cal Al-Dhubaib makes his debut on my podcast to spill the beans on how you can launch your own thriving (data science / A.I. / ML) consultancy and, eventually, sell it 💰
Cal:
Is Head of AI & Data Science at Further, a data and A.I. company based in Atlanta that has hundreds of employees.
Previously, he was founder and CEO of Pandata, an Ohio-based A.I. and machine learning consultancy that he grew for over eight years until it was acquired by Further a year ago.
Delivers terrific talks — don’t miss him if you have the chance!
Holds a degree in data science from Case Western Reserve University in Cleveland.
Today’s episode should appeal to any listener, particularly anyone that would like to drive revenue and profitability from data science or AI projects.
In it, Cal covers:
Why his first startup was unsuccessful, but how the experience allowed him to discover an untapped market and build Pandata, a thriving data science consultancy.
His unconventional strategy of requiring clients to make a sizable commitment up front that initially scared away clients but ultimately attracted the best ones.
The way core values inspired by his "tin can to Mars" thought experiment shaped his hiring and company culture.
How making data science "boring", helping his clients trust AI systems and delivering a clear return on investment became his formula for success.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.