Digiata's Approach to the AI Revolution

The world of Artificial Intelligence (AI) and machine learning promises to revolutionise business efficiency and profitability at an unprecedented scale. The journey towards harnessing the true potential of these technologies can however be daunting for businesses. At Digiata, we recognise the need to investigate the current state of AI and machine learning, and how we can assist our clients in their journey towards realising real world use cases.

When looking at the roadmap that allows a business to unlock the full potential that AI promises, it is essential to consider the 6 levels of Business AI Maturity, as shown in the figure below:

Most businesses currently sit between Level 0 and Level 1. Level 0 represents an unstructured data state (where all processes are handled manually). A business at Level 0 is not yet ready for AI integration, and could benefit from the type of assistance Digiata can offer. We have an extensive track record assisting clients in structuring their data and strongly recommend this be the first step towards incorporating any AI into a business.

While every business would ideally like to operate at Level 5 (full automation), it is crucial to remember that a structured approach to implementing AI is essential. Digiata is able to assist businesses in moving through each of the various levels so that a business need not ever feel overwhelmed in what can be a tricky part of the implementation process.

Once a business has well-structured data, they are able to move to Level 1 (Assisted Operation). At this level, we can provide custom, lightweight tools to increase the efficiency of processes and even completely automate them. This first step of automation has seen significant increases in productivity for many of our clients. No more searching through unorganised Excel documents to find the audit trail data for a completed task – simply log into your clean Digiata user interface to view this data in seconds.

Businesses will need to examine all their processes to determine which ones can be automated and systematically work through them. With Digiata's API-first design philosophy, we can build applications that integrate with other applications and be seamlessly integrated. All of these subsystems built to automate specific processes can then be integrated, forming a stable platform for the business’ growth path towards full automation.

A business has achieved Level 2 (Partial Automation) and potentially also Level 3 (Conditional Automation) once they have achieved structured data and multiple integrated automated processes. Using the platform set up with multiple integrated automated systems, we are then able to build extensive custom reporting and data analytics tools visualising the data from these systems into a clean, easy-to-read dashboard. The reporting and data analytics solutions implemented by Digiata have received excellent feedback, especially from executives, as they are able to view different parts of the business at any given time with just a few clicks on the dashboard.

Machine Learning forms part of advanced data analytics, as it can provide predictions and further insights into a business’ data. Digiata can provide the ability to train custom models using Auto Machine Learning techniques should a business require predictive insights into their data. If a business is prepared correctly for AI integration, Digiata can assist with seamless integration into AI platforms and models through API interfaces.

To conclude, businesses that have increased their AI Maturity from Level 0 to Level 2 or 3 with Digiata's assistance will be able to see incredible increases in efficiency and transparency throughout the business. This will prepare them perfectly for the AI revolution that is upon us.

Digiata is well-positioned to guide any business through the AI revolution. By focusing on data cleaning, structuring, and visualisation through Power BI, we lay the foundation for effective data analysis and insights. From there, we can explore the integration of machine learning models to further enrich our clients' data and decision-making processes. Ultimately, our approach is centred on providing tailored solutions that deliver maximum value to our clients, whether through AI, machine learning, or traditional data analysis techniques.

Reference for image: The MITRE AI Maturity Model and Organizational Assessment Tool Guide | MITRE

Image is made using app.presentations.ai and editing the information to a custom set and loosely using the model from the reference above