Episode 63: Cracking the Data Science Code

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This is a podcast episode titled, Episode 63: Cracking the Data Science Code. The summary for this episode is: Everyone knows that data is essential for any modern business. It’s critical for targeting your customers effectively, extracting important insights, and automating business processes. Perhaps most important of all, it’s what fuels artificial intelligence and machine learning. Of course, cracking the data science code is anything but easy. Sometimes you need help. In this episode, Jon Prial talks with Mike Segala, the CEO and Co-Founder of SFL Scientific, a data science consulting firm that specializes in big data solutions. Get insights into ways to leverage your data into your AI and machine learning strategy. You'll hear about: -How mature the industry is with ML -Aligning data science teams to business results -Data science and product alignment -When Deep Learning does and doesn't make sense

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Everyone knows that data is essential for any modern business. It’s critical for targeting your customers effectively, extracting important insights, and automating business processes. Perhaps most important of all, it’s what fuels artificial intelligence and machine learning. Of course, cracking the data science code is anything but easy. Sometimes you need help. In this episode, Jon Prial talks with Mike Segala, the CEO and Co-Founder of SFL Scientific, a data science consulting firm that specializes in big data solutions. Get insights into ways to leverage your data into your AI and machine learning strategy. You'll hear about: -How mature the industry is with ML -Aligning data science teams to business results -Data science and product alignment -When Deep Learning does and doesn't make sense