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Basil Polsonetti
AI Value Engineering Leader
Basil Polsonetti is the VP of Value Engineering at Kore.ai, a market-leading Generative AI platform.1 He is based in New York and has a diverse background in technology and entrepreneurship.
Professional Experience
Polsonetti's career includes several notable positions:
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Co-Founder at Lang.ai (October 2020 - Present): Lang is a no-code Service Data Platform that empowers Support and Operations teams to analyze customer inquiries across channels.1
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Venture Partner at Lorimer Ventures (January 2020 - Present): Lorimer is a Brooklyn-based investment syndicate backing B2B startups.1
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Data Strategist at Yext (March 2017 - October 2020): He architected and scaled Value Engineering frameworks for a global team of Sales Engineers.1
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Technology Consultant at EY (September 2015 - February 2017).1
Education
Polsonetti holds a Bachelor's degree in Operations Research and Information Engineering from Cornell University.1
Additional Information
His email at Kore.ai likely follows the format [first].[last]@kore.com, as this is the most common email format used by the company.2
Highlights
After an exciting run building Lang.ai, I’m excited to share that I’m starting a new position as VP, Value Engineering at Kore.ai
Business leaders are all talking about Generative AI and the impact that it can drive for their respective brands - but few are taking a broad enough view when they think about the long-term strategy for building and deploying AI applications, internal and external. Stringing together 10+ AI applications no longer makes sense in 2024, particularly as we see new advancements each and every week in model performance. Enterprises need an AI platform to standardize on, that allows them to build, test, and deploy any application or experience they can dream up.
I'm looking forward to working with Enterprise AI leaders to imagine these next-generation use cases and clearly measure the value we're driving for their businesses!
In your role do you ever have a file with survey responses or customer reviews or support tickets but have no way to analyze at scale?
What if you want to to understand the biggest issues related to [Product X]?
Or maybe it's critical to understand any compliance issues your customers may be bringing up?
If that file has more than 50 rows then I know you're not reading all of it.
Plug it into KlosedAI (https://app.klosedai.com/) and watch the magic at work ;)
If you try it out - let me know what you think in the comments
