Remove Engineering Remove ML Remove Technology
article thumbnail

Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

At Intercom, we have taken advantage of these technologies relatively early. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? We can’t assume the ML will always perfectly do what we want. The cupcake approach to building bots.

article thumbnail

The new dawn of Machine Learning

Intercom, Inc.

In the past five years, we’ve seen neural network technology really take off into its own. 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. AI has been quite overhyped in the past.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

From premature optimization to over-engineering solutions for your product, it’s easy to get caught up in making technology decisions that slow you down instead of speeding you up. I think Lambda is an amazing piece of technology, but it has its place. I like to think of them as stored procedures for the cloud.

article thumbnail

How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

The call center sector is one such industry that can benefit from AI-powered technology. Superior call center technology, which leverages AI and omnichannel communication, enables companies to route incoming calls to the right agents and departments as well as to give faster and superior service to customers. It happens by design.”

article thumbnail

Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

The customer defines the problem, but it’s on you to do root-cause analysis and solve the problem with your technology. 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: Deepa, welcome to the show.

article thumbnail

How much historical data is needed for AI to improve forecast accuracy in workforce management?

DMG Consulting

AI-enabled WFM solutions leverage machine learning (ML), an AI technology that is effective at finding patterns. ML is being used to identify outliers or deviations when validating models and forecasts in an iterative learning process, as well as to automatically identify the algorithm best suited for each set of forecasting criteria.

ML 77
article thumbnail

How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

Intermediate AI (OCR + ML, ID Verification , IDP) Key Traits : OCR to process documents automatically, ID verification for compliance, ML-driven data extraction. Change Management How well do your teams adapt to new technology? These models excel at natural language understanding and generation.

Finance 52