Don’t Get Burned by Early AI Adoption
Last Updated on December 17, 2024 by Editorial Team
Author(s): AI Rabbit
Originally published on Towards AI.
This member-only story is on us. Upgrade to access all of Medium.
It seems like every company is talking about AI these days. The excitement is understandable — AI has the potential to transform how businesses operate. However, it’s crucial to approach AI investment strategically. This isn’t just about keeping up with the latest trends; it’s about making smart decisions that actually benefit your business in the long run. And a big part of that is understanding the full cost of diving into AI, especially if you’re thinking about building your own solutions.
When companies decide to use AI, they’re faced with a fundamental choice: should they develop custom AI solutions tailored specifically to their needs, or should they purchase existing, off-the-shelf AI products? This “build vs. buy” dilemma isn’t just a technical question. It has far-reaching implications for how you allocate your resources, how quickly you can implement AI, and ultimately, how successful your AI strategy will be.
Let’s imagine a consulting company that’s considering a significant investment in building an AI-powered system to automate the creation of proposals and tender responses. On the surface, it seems like a great idea. Proposals are time-consuming, and AI could potentially save a lot of… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI