The Product Coalition
FEBRUARY 29, 2024
Let’s talk confidently about how to select the perfect LLM companion for your project. The AI landscape is buzzing with Large Language Models (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. Internal Safeguards: For internal tools, balance security with usability.
Userpilot
DECEMBER 20, 2023
Machine learning is a trending topic that has exploded in interest recently. Coupled closely together with Machine Learning is customer data. Combining customer data & machine learning unlocks the power of big data. What is machine learning?
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Userpilot
JUNE 5, 2024
Are you on the lookout for tools that can help you improve customer retention ? There are quite a few solutions around, so it might be difficult to find, especially as we’re not talking about one specific set of tools but rather a whole range of different solutions covering a range of use cases.
The Product Coalition
JULY 29, 2022
The emergence and evolution of data science have been one of the biggest impacts of technology on enterprises. As the web world keeps growing and getting competitive, there’s a dire need for businesses to learn as much as they can about their consumers and the patterns impacting sales and profits. What exactly is Machine Learning (ML)?
Userpilot
FEBRUARY 29, 2024
As you’re researching customer analytics platforms, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Customer analytics platforms are specialized tools that allow you to collect and analyze data. Let’s dive in! Let’s dive in! Starts at Silver’s $199/month.)
Userpilot
MARCH 7, 2024
Analytics tools offer a competitive advantage for companies investing in prolonged product growth. However, not all companies can invest precious resources in an analytics tool. In reality, some companies are better served using free vs paid analytics platforms. There are different types of analytics tools.
Mind the Product
AUGUST 19, 2019
Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?
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