Engineering Innovation ML 
Intercom, Inc.
OCTOBER 13, 2020
This post is based on that talk, and details our journey from early experimentation to release, as well as some valuable lessons we learned about how to implement machine learning (ML) in a real-world product. However, for smaller companies interested in delivering successful ML products, a lean approach can bring a lot of rewards.
Intercom, Inc.
SEPTEMBER 9, 2022
Building ML products requires balance – it’s pointless to start with the problem if the solution is unattainable, but you shouldn’t start with the tech if it can’t meet real customer needs. ML teams tend to invest a fair share of resources in research that never ships. And you don’t need as much hand engineering of features.
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Intercom, Inc.
MAY 22, 2019
I started in technology at Salesforce – I was their first female engineer and learned early on how valuable it can be to build a company from the perspective of your customer. Paige: What advice do you have product teams working on ML? Paige: It was really fun watching the teams here at Intercom build their first ML product.
Hodusoft
OCTOBER 17, 2024
Chatbots Chatbots are AI-powered tools engineered to communicate like humans. Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. Key AI Technologies In Call Centers AI has entered all spheres of businesses, including customer service.
Lightico
FEBRUARY 4, 2025
Intermediate AI (OCR + ML, ID Verification , IDP) Key Traits : OCR to process documents automatically, ID verification for compliance, ML-driven data extraction. Conclusion: Accelerating Toward an Autonomous Future Agentic AI isnt just another innovation; it represents a structural shift in how the auto finance industry may function.
Lumoa
MAY 16, 2024
Think of this as a casual chat where we unravel the complexities of ML testing, making it digestible for everyone, regardless of their technical background. It’s an innovative approach that’s changing the game in data science and AI development. Because ML systems aren’t just coded; they’re trained.
DMG Consulting
JUNE 8, 2021
Product Innovation. And due to technical and operational innovations, many IA vendors are replacing their transcription engines with newer and more effective ones that improve the effectiveness of their own offerings.
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