“You have to get the process in place before you think about automating it, and also give people a non- judgmental and collaborative space to see the truth for themselves.” Slater Victoroff
Unstructured data accounts for the largest part of the total data that businesses see and deal with on a daily basis. This therefore means that businesses must find ways and tools to process this data efficiently and with the least cost, and also reap some business advantages. This is according to Slater Victoroff, who also insists on the importance of having working processes in the organization.
Slater Victoroff is the Founder and CTO of Indico, an enterprise AI solution for unstructured content that emphasizes document understanding.
Slater has been building machine learning solutions for startups, governments, and Fortune 100 companies for the past seven years and is a frequent speaker at AI conferences. Indico’s framework requires 1000x less data than traditional machine learning techniques, and they regularly beat the likes of AWS, Google, Microsoft, and IBM in head-to-head bake-offs. Indico recently announced a $22 million Series B raise.
Slater has educated hundreds of business users on successfully implementing deep learning through a simple framework that helps executives rapidly accelerate the adoption of technology in their businesses. Slater attended Olin College of Engineering before pursuing Indico full-time after its acceptance into the Techstars Boston Program.
In today’s episode, Slater talks about the importance of simplifying processes and how his company is helping businesses do that, specifically with regards to processing unstructured data.
Listen in!
Media Handles:
https://indicodata.ai/
https://www.linkedin.com/in/slatervictoroff/
https://www.linkedin.com/company/indico-data-solutions/
https://twitter.com/sl8rv
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