There are an endless number of tools available to product managers for data analytics, user feedback and everyday tasks. While the prolific number of tools provides product managers with options, it can be hard to know which tools to use and how to efficiently use these tools together.
The introduction of AI/ML technology makes it even more difficult to select the right products for you and your team. Not all AI technology is created equal and AI experts caution against selecting AI products without properly vetting them.
“When selecting AI tools, you need to understand how the technology was conceived and then built,” said Sprig’s Head of AI/ML Kevin Mandich. “AI’s power is built upon the data and research that people initially input, and that means you need to have the right people involved and accurate data.”
Use this guide to not only vet AI products, but also build the ideal modern product tech stack. Whether you’re a product manager at a small startup and creating a tech stack from scratch or you’re evaluating your current tech stack for improvements, this guide will help you build the right stack for your organization.