Why AI-assisted data governance is crucial to driving value in AWS
January 5, 2022
January 5, 2022
You can have all the data in the world, but it won’t be worth much unless it’s properly managed, of high quality, and relevant to the people who use it.
Today’s connected cars, for example, monitor more than 200 data points every second, with more and more data sent to car manufacturers each year. Potential uses of all this data are skyrocketing, but as the data grows by leaps and bounds, so do the challenges.
A lot of companies started moving to the cloud because of its capacity to handle more data than legacy, on-premises platforms. In fact, AWS provides many capabilities that enable companies to ingest huge volumes from a wide range of sources—whether internal or external, human- or machine-generated. But then the question is how to make all that data useful and valuable to people and processes across your enterprise.
The answer is data governance—policies and processes for how data is collected, stored, accessed, and managed over its lifespan. But at cloud scale, the only way to do this effectively is with the help of advanced technologies like AI and machine learning. Cloud-based AI tools bring the advanced capabilities and scale that helps to automatically cleanse, classify, and secure data in the cloud as it is ingested, supporting high quality, veracity, and ethical handling. One such tool is AWS Macie, an AI/ML service that helps identify and classify sensitive data to protect privacy and security. AWS also has a number of infrastructure security services like AWS Inspector and Shield that help protect data.
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When done right, a properly governed data foundation on cloud can deliver tangible, sustainable data.
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Accenture has developed a no-code accelerator, Intelligent Data Foundation Accelerator (IDF), is easily deployed on AWS Native/Serverless technology. IDF automates end-to-end data pipeline design, implementation and deployment.
When done right, a properly governed data foundation on cloud can deliver tangible, sustainable value. Consider West Midlands Police (WMP), the second-largest force in England, serving nearly 2.8 million people. WMP built a modern, scalable data foundation on AWS, which now provides the force with accurate information on people, crime and trends that is easily accessible via smart phones. More importantly, officers have data they can trust, at their fingertips. The solution was designed to automatically reload fresh data from legacy systems every few hours, which is critical any time but especially when lives are at stake.
When looking at data governance in AWS, there are three key aspects companies should consider:
To gain the full worth and value of data, it should be readily accessible by people and processes across your enterprise, but it should also be of high quality and veracity. This requires effective data governance, enabled at scale using cloud technologies such as AI and machine learning. AWS brings strong data governance capabilities, which can be further enhanced and extended with third-party tools and assets to help accelerate deployment of governed data models on AWS that support a range of industry-specific use cases. When all these elements come together, you have a powerful cloud data foundation to drive growth, innovation and sustainable value for your business.
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