So you’re ready to dive into the exciting world of AI. However, in such a rapidly-evolving field it may be difficult to decide how to go about it. What’s the best way to create a robust and effective AI product? Should you develop a custom solution or buy one off the shelf? We gathered practical pros and cons for both options to help you decide.
Artificial Intelligence is a concept of machines acting with perceived intelligence. It can refer to any system in which machines can learn and solve problems based on previously-executed tasks. Using techniques like machine learning and deep learning, AI can improve with time and not just do the tasks on its own, but do them better. In other words, AI machines are programmed to have some traits of human-like thinking. That’s not to say they think like humans - we are probably still decades away from that.
AI doesn’t have to look like a human, either. For a long time, the pervasive image of AI was a humanoid robot assistant. Many tech solutions can have different AI traits, or benefit from having one implemented into their workings. AI can help optimize processes thanks to pattern recognition and natural language processing.
AI as a scientific discipline has been around since the 1950s, but has only recently become powerful and affordable enough to allow for a wide array of applications in business and technology. Some of them include:
Industries as varied as retail, finance, health, transport, and security are already implementing AI solutions. This trend will shape the business world in the years to come.
How to make the best use of AI for your company? Should you create a fully-customized AI product or buy a ready-to-use solution? Let’s take a look at the different options and compare their advantages and limitations.
Developing your own AI solution means you’re going to construct machine learning models from scratch. Whether you decide to do it in-house or outsource the task, this will include building custom algorithms and your proprietary API. Before you dive into the process, it’s important to assess the development costs and the value of bespoke AI you’re going to get.
Until recently, it wasn’t likely that you would be able to find a ready-to-use AI solution that would fit your specific needs. But as the industry matures, more and more ready-to-use AI products are becoming available. For example, if you need AI to perform natural language processing, there’s probably no need to develop it from scratch - especially if your company is small and technology is not part of its core business. Google, Amazon, Microsoft and others have already invested a lot of money and manpower into developing AI solutions that you can easily adapt for your needs.
Between the extremes of fully bespoke and ready-to-use AI, there are also in-between solutions which allow you to add a few custom elements to the available machine learning platforms. There is definitely no one-size-fits-all solution and many factors can influence the final decision.
Are you unsure which way to go? Netguru has years of expertise building both custom AI solutions and helping companies deploy commercial off-the-shelf machine learning products. We offer a free personalized consultation, which will enable us to assess your company’s specific requirements and provide you with all the tools you need to make the best use of AI.
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