AI in Action E240: Slater Victoroff, Chief Technology Officer at Indico Data
AI in Action, Podcast | August 2 2021 | JP Valentine
Welcome to episode 240 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 the United States and Europe.
Today’s guest is Slater Victoroff, Chief Technology Officer at Indico Data in Boston, MA. Founded in 2013, Indico is the leading provider of Intelligent Process Automation (IPA) solutions. They help organizations turn processes into profit by enabling them to automate manual, labor-intensive, document-based workflows.
Indico are solving these challenges in an approach known as transfer learning, which allows users to train machine learning models with orders of magnitude less data than required by traditional rule-based techniques. With Indico, enterprises are now able to deploy AI to unstructured content challenges more effectively while eliminating many of the common barriers to adoption.
In today’s episode, Slater will discuss:
The origins of Indico Data
Indico Data’s solutions in Document Intake and Understanding
Use cases of the problems they are solving for customers
What excites him for the future at Indico Data
Building a successful data team
Exciting opportunities at Indico Data
To find out more about Slater and all the great work happening at Indico Data, check out the website www.indico.io or follow them on Linkedin and Twitter @indicoData. You can also connect with Slater on Linkedin.
What did you think of Slater’s podcast? Where do you see the future of AI and Data Science in the industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.
Subscribe to The Alldus Podcast:
Welcome to episode 240 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 the United States and Europe.
Today’s guest is Slater Victoroff, Chief Technology Officer at Indico Data in Boston, MA. Founded in 2013, Indico is the leading provider of Intelligent Process Automation (IPA) solutions. They help organizations turn processes into profit by enabling them to automate manual, labor-intensive, document-based workflows.
Indico are solving these challenges in an approach known as transfer learning, which allows users to train machine learning models with orders of magnitude less data than required by traditional rule-based techniques. With Indico, enterprises are now able to deploy AI to unstructured content challenges more effectively while eliminating many of the common barriers to adoption.
In today’s episode, Slater will discuss:
The origins of Indico Data
Indico Data’s solutions in Document Intake and Understanding
Use cases of the problems they are solving for customers
What excites him for the future at Indico Data
Building a successful data team
Exciting opportunities at Indico Data
To find out more about Slater and all the great work happening at Indico Data, check out the website www.indico.io or follow them on Linkedin and Twitter @indicoData. You can also connect with Slater on Linkedin.
What did you think of Slater’s podcast? Where do you see the future of AI and Data Science in the industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.
Subscribe to The Alldus Podcast:
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