Preparing YOUR organisation for AI

AI is here and revolutionising business operations every day. Though today’s achievements are impressive, capabilities (and complexity) will only continue to rocket as the technology develops.

Is your business ready to embrace AI?

‘Good Data’, as many will know is critical to AI success. Regardless of complexity, all AI systems rely on good company-wide ‘Data Management’ strategies – it is an important prerequisite for entering this ‘radical world’ of AI.

Your company may have already explored possible AI integration options and got stuck at this hurdle. At Fidra Analytics, we see the problem of ‘dodgy data’ all too often being the cause of failed AI implementation attempts.

So, we thought we would put together this brief, beginner-friendly overview of where to start with getting AI-ready.

Role of Data in AI

AI systems are either trained on, or retrieve, data. Thus, the effectiveness of Artificial Intelligence is intrinsically tied to the quality and quantity of the data they are trained on. The outputs improve as the data inputs do. In healthcare, AI system results gain diagnostic accuracy and better predictive power if they are using bigger data sets that cover a wider range of patient profiles. In finance, more fraudulent activity is detected when the Artificial Intelligence is exposed to more scenarios. Similarly, and quite simply, corporate AI systems work better when they have access to better data.

Implementing Good Data Management

Beginning your AI journey with some data housekeeping will ensure maximum return on your investment. The key is to drive your Data Management with knowledge. The capture and organisation of data are especially important, but you must first know how and why.

• The quality of data hinges on its completeness and consistency. Checking for gaps in client profiles and consistency in product listings are just a few examples- there will be many more unique to your operations.

• Good data governance involves proper policies and procedures for data usage, privacy, and security. Laws around AI and data are growing increasingly stringent- early and full compliance is the only way forward.

• Implementing an AI system requires good model management. Projects have lifecycles; from development, to deployment, to monitoring- and each stage is paramount to project success. Your company must be able to facilitate and take part in this process with your AI developers.

What can our organisation do?

Fidra Analytics are here to help.

If you are in the early stages with your data, reach out to our team. We have our Analytics Academy with skills enablement and learning services suited to your company size and requirements, empowering your team in today’s data-driven landscape.

We also have an ‘Analytics Accelerator’ work package that helps you understand your data and its readiness for AI, and if your Data Management is already robust, we can turn your good data into great AI.

If you have any questions please contact us.

If you are attending Big Data LDN 2024 18-19 September, join us at our stand Y552. There, you can find out more about our services – and enter our exclusive ‘Big Data LDN’ prize draw to win a trip to Fidra Island!

www.fidra.ai

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