Artificial Intelligence [AI] and Machine Learning [ML] are advanced technology designed to offer companies a competitive advantage, massive cost savings, and huge revenue boosts. Every business will keenly use it, who wouldn’t? 

There is a murmur going around about what to start first with data governance or AI. It is because I prefer time-consuming aspects like data governance when there is a quick way via AI & ML. Here is why….

AI works by copying human processes by consuming plenty of data and investigating to identify any patterns or correlations. These consequences are used to make future business growth decisions. AI is an algorithm or program fed by a highly skilled programmer. 

• AI programming’s learning aspect is aimed to acquire data and create rules on how to transform the information into actionable data. Rules are called algorithms that offer computing devices step-by-step guidance on how to finish a specific task.
• The AI program's reasoning aspect aims to choose the correct algorithm and reach the desired results. 
• AI program’s self-correction process is focused on consistently fine-tuning algorithms. It ensures that the results provided are as accurate as possible. 

All the above explanation about the mechanism and development of AI indicates that it needs the right data for learning. It means a single inaccurate or missing data can guide your AI & ML technologies in the wrong direction. Companies can make costly or disastrous growth predictions. 

The moral of the story is to first implement data governance effectively before adapting the rewarding Artificial Intelligence & Machine Learning technologies. You can approach professional data governance consultant service to gain more insight into why Data Governance is more crucial than Artificial Intelligence. 

Why is Data Governance a priority in AI?

Data Governance helps to better manage the technical aspects –

• Data security – Protects data against unofficial use.
• Data integrity – It ensures that the data accessible across the system is accurate and usable.
• Data loss prevention – Prevents the loss or improper use of sensitive data.
• Data lineage – Capably traces the source of each data. 

Using the right technologies Data Governance is capable of driving company value and aiding AI transformation. The better the data quality the more accurate the decision you can make to stay ahead in your sector. 

Intelligent data governance initiates with clearly defined -

• Data processes ensure data quality consistency and sustainability. 
• Data standards ensure that the data quality is managed for integration & data lineage. 
• Data policies facilitate managing the data management’s top funnel.

Proper data management saves the data scientists and the ML engineers a lot of time in resolving the glitches in their prediction model. A single bad data and they have to spend loads of time cleansing it. 

Benefits of effective Data Governance in AI

• It reduces the time wasted in data cleansing.
• You gain better insight into your business capabilities, especially when data is handled as a strategic asset.
• Good data available to educate your ML neural networks means more precision decisions can be created for the AI by the programmers. 

AI is not a one-time investment but long-term competency, so initiate data governance first to reap the AI & ML technology rewards!