At the core of every successful AI project is a comprehensive data set. Choose inaccurate, bad-quality or too little data to train your models, and they won’t be useful in production. Recent news stories have highlighted how often bias creeps into AI models, and the many issues it causes.
So, it is definitely worth the effort to build the right data pipeline, but how do you go about it? Often, there will be obstacles in your way. Many organizations start dabbling in AI, with a team from one department embarking on their own self-contained project. The team can struggle to get access to data outside their own department, either because they don’t know where it is or lack the authorization to access it. As a result, AI projects stall at the prototype stage because they lack the fuel to feed machine and deep learning models.
The lesson is clear: a centralized data management strategy is essential for success in AI. You must be able to harness all the data within your organization and combine it with external resources, wherever it resides. It isn’t enough to include historical data – competitive pressure means that exploiting real-time data is becoming a differentiator in many industries.
To power your new organization-wide data management strategy, you’ll need the right platform. That’s where Meridian IT comes in: we can help you build accelerated computing solutions designed to meet your specific needs. Visit our Meridian Innovation Center (more detail in our previous blog) to get personalized advice on how to bring your AI plans to life, plus try out current AI software frameworks and accelerating computing architectures for yourself.
Don’t hesitate: get in touch today to progress your AI plans, bringing competitive advantage within reach, sooner.