Machine Learning For Startups Is Critical
Machine learning is important for startups. If you’re working in a startup and you’re thinking about how to incorporate machine learning, there’s almost no startup these days that doesn’t incorporate AI of some sort. The easiest example is customer support.
Use Case – AI in Customer Support
Customer support used to be a vital part of any startup’s process, but a few big corporations—I think it was Klarna—tested out an entirely AI chatbot instead of a human support agent. When they did that, the results were quite impressive. They concluded that AI tools release a better output than what a human customer service agent would do.
This is not surprising because AI tools like GPT did not pass the Turing test, and even if they did, it’s not in the sense that they are performing better than the best customer support agent out there. But that was never their job.
How AI Matches Human Performance in Customer Support
The truth is, those tools perform almost the same as the average customer support agent out there, and that’s all it needs to get into a market that is this big.
So when it comes to machine learning, it’s essential for your startup to implement things, and here are our recommendations:
- Consider customer support with artificial intelligence. Even though customers don’t really like AI chatbots in general, that tide has been shifting. They’re more accepting of AI chatbots because they know that it’s not just a series of code that answers based on what they say.
- Know your audience’s expectations. Customers don’t have any expectations for this tool and honestly believe that these tools could solve their problems.
Example – When to Use AI Tools for Writing
When it comes to writing at this particular stage, we do not advise you to use artificial intelligence writing platforms. The reason for that is simple: everyone is doing it.
When everyone’s doing it, that gives you an edge if you’re not doing it. People don’t care as much about grammatical mistakes and sentence construction as they care about structuring the story of a piece of written content. This is still not done well by AI tools.
AI for Development in Startups
Finally, for development, we believe that a hybrid approach is perfect. Currently, we in our company advise you to use Claude—Anthropic’s Claude Sonnet 3.5. We believe that this is the most intelligent software development tool available in the market, and we’ve used it to test-case a lot of things over the past year.
It is a perfect tool in this sense, and we advise you to use it if you’re considering machine learning or development for your startup.
It’s Not Always Machine Learning
That being said, machine learning for startups is not the only path. You have to keep remembering that many of our very successful clients operate in fields like agriculture, for instance, which has nothing to do with machine learning.
Even though there are some elements that can be incorporated with ML, agriculture has always been about what it is—which is, well, agriculture.
So yes, it’s a good path to follow machine learning in startups, but it’s not the only path. Always keep that in mind when working in a startup.