Every AI implementation journey is unique. Some businesses jump in headfirst, signing up for public AI platforms and experimenting with GenAI tools. Some are already using predictive AI and want to explore other applications. Some are new to the whole spectrum and want support and guidance along the way.
Before going to market for a new AI solution, there’s a few things to assess in your company. You need to look at internal capability, data quality and accessibility, and potential constraints. This is also a chance to assess your IT infrastructure – your storage capacity and security systems may need an upgrade before you can start:
Before starting any AI project, you’ll need to assess whether your current team has the skills, knowledge and time to take on such a project. We recommend that your team has at least 10+ hours per week available to dedicate to it. Upskilling, recruiting new team members, or partnering with an external provider can all help solve any capability roadblocks.
We have a saying at Datamine: “rubbish in, rubbish out!”. This means if you’re feeding AI poor quality or dysfunctional data, the output will be poor quality as well. The good news is that there are ways to clean it up and organise it before you start. Your company may benefit from a data clean or new infrastructure to house your data, which will drastically improve the ROI of your AI project.
Let’s be honest: Hidden issues are almost bound to pop up before any AI project can move forward. The key is to get on top of them as much as possible before they arise. Commons issues we see include:
We get it - it can be a lot to think about. To help you gain a clearer understanding of your current AI-readiness, we’ve put together a 7-question scorecard:
If you can answer yes to most of these questions, congratulations! You’re in a great position to
start your AI venture.
However, if you’ve answered mostly “no”, don’t worry. A great place to start your journey is by checking out the Datamine Guide to AI. This comprehensive guide explores AI’s potential applications, roadblocks to AI adoption, and outline what an AI roadmap and implementation could look like in your business. From there, if you’d like to drive your AI journey forward, we can help you explore your options.