{"id":55807,"date":"2024-01-25T17:01:20","date_gmt":"2024-01-25T17:01:20","guid":{"rendered":"https:\/\/www.cxtoday.com\/?p=55807"},"modified":"2024-02-19T10:43:09","modified_gmt":"2024-02-19T10:43:09","slug":"how-easy-is-it-to-integrate-ai-into-your-product-roadmap-assemblyai","status":"publish","type":"post","link":"https:\/\/www.cxtoday.com\/workforce-engagement-management\/how-easy-is-it-to-integrate-ai-into-your-product-roadmap-assemblyai\/","title":{"rendered":"How Easy is it to Integrate AI into your Product Roadmap?"},"content":{"rendered":"

As AI-powered technology continues to develop and grow in use, many organizations and technology providers are looking for new ways to add AI to their offerings and workflows. However, integrating AI isn\u2019t as simple as installing an app and calling it a day\u2014adding tools like AI-powered speech recognition is a process that takes time and effort.<\/p>\n

With that in mind, here\u2019s a look at what it takes to integrate AI and things to consider if you decide to do so.<\/p>\n

How to Integrate AI With Limited Developer Resources<\/h2>\n

Given the growth of the AI market, many organizations and their product teams are interested in adding or deploying AI features as quickly as possible. Those who want to get started with AI typically consider a few options: build their own proprietary AI model or partner with an AI provider.<\/p>\n

When evaluating AI tools, it may be difficult to find one that fits all of a business\u2019 needs. That might make it tempting to build a custom AI model, but doing so is both time-consuming and highly complex.<\/p>\n

Creating a custom speech AI system<\/a>, for example, is a huge undertaking, requiring time, resources, deep expertise (in research and engineering), and training, not to mention accounting for data security and regulations. Any custom AI model is also going to require ongoing expenses for maintenance and updates to make sure they remain up-to-date and efficient.<\/p>\n

Finding an AI Partner or Provider<\/h2>\n

Strategic AI partnerships are the fastest way to add AI features to a product<\/a>, as the technology is already developed and just needs to be integrated. If you choose this option, look for an AI partner who builds on the latest AI breakthroughs and constantly improves their suite of AI models.<\/p>\n

These days, AI providers have AI models as a service, providing businesses with access to a portfolio of AI models. Organizations and developers can then integrate AI into their business or roadmap, while their product teams can remain focused on building their core features.<\/p>\n

For organizations looking to integrate production-ready AI functionality, it\u2019s important to build a strategic AI partnership. A partnership approach is a preferable choice for companies that lack internal AI expertise or resources, or that want to integrate AI quickly, as the partner provides the AI expertise, experience, and technology.<\/p>\n

Organizations looking to add AI to their products need a partner with the following:<\/p>\n