Implementing policies to ensure compliance, security, and the use of quality data is what data governance is about. The rise of AI means that businesses now have to consider new ways to approach data governance. AI-driven data governance is here to stay, and it might just provide you with the knowledge and insight your business needs to thrive.
What is data governance?
Data governance is defined as creating, implementing, and enforcing practices and policies in organisations. This ensures the use of high-quality data, with security and compliance at its core. Data breaches are a significant threat to organisations:
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“Data breaches - in which hackers steal personal data - continue to increase year-on-year: there was a 20% increase in data breaches from 2022 to 2023.” |
Establishing clear guidelines and governance policies for the gathering and storage of data ensures not only high security for businesses but also streamlined processes and greater access to information for more efficient decision-making.
What can the adoption of a data platform do for an organisation?
Robust data platforms simplify data governance by creating a centralised hub for effective data management. Many data platforms can be integrated with different tools to improve access to information and make scaling operations easier.
Utilising a data platform means that organisations can improve collaboration across departments, as key staff can be given access to the information. This, in turns, simplifies and streamlines processes, and ensures greater adherence to data policies and security.
AI and data governance
The rapid growth of AI has transformed how businesses approach data. Now it is possible to integrate AI with data governance to improve the management and use of information. Many AI tools add automation and predictive analytics to traditional data governance practices, allowing for advanced data processing capabilities.
One such tool is DataRobot. This is the only full-lifecycle AI platform with extensive ecosystem interoperability. It is suited for all users, data types, and environments, making it ideal for businesses seeking to blend data governance and Artificial Intelligence.
What are the benefits of data governance and Artificial Intelligence?
Combining the capabilities of AI alongside traditional data governance initiatives is hugely beneficial for businesses. It simplifies the process of data governance and allows for the following:
- Enhanced data quality
- Improved accuracy of data
- Increased efficiency
- Automation capabilities
- Generative AI
- Heightened data security
- Improved data compliance
AI can identify inconsistencies, errors, and redundancies in datasets quickly, saving your team valuable time and ensuring information is accurate and reliable. This improves decision-making and establishes data-driven decision-making as an effective method across your business.
The foundation of traditional data governance processes can be enhanced with AI, ensuring advanced security and the ability to respond to potential threats in real time. Your organisation can effectively safeguard your data.
The ethical implications of AI in data governance
The rapid rise of AI has made businesses consider the best way to implement it and mitigate the ethical implications and risks associated with it. Before integrating AI and data governance, it is important to understand these ethical considerations.
- Bias. AI algorithms can inherit biases in historical data. This is why it is vital to identify and mitigate biases to create fair data.
- Transparency. One of the challenges businesses face when using AI is that decision-making isn’t transparent. Instead, businesses are shown the decision without an explanation, which is vital for building trust and improving accountability.
- Human oversight. AI cannot replace your team when it comes to data governance. Automation helps in many areas, but human oversight plays a vital role in guiding decision-making, identifying biases, and explaining decisions.
- Data privacy. Privacy and data compliance regulations can be breached if AI has been ineffectively integrated into your data governance strategy. This is why robust infrastructure and integration is essential.
How to implement data governance
Successfully implementing effective data governance supported by AI into your organisation requires strategic planning and execution. When used correctly, you can gain greater insights into your operations, make better decisions, and enhance your data security.
Professional support integrating AI with data governance
Our team of Data Scientists consultants are here to help you. We understand how AI tools, such as DataRobot, can enhance your data governance. With more than 15 years of experience, our team is here to help. Book a call with one of our consultants today to find out more.
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