With the growing importance of AI, there are now unmatched opportunities to gain value from data.

The greatest challenge a CIO faces is implementing a digital transformation program in order to become a data-driven enterprise. Analytics of all kinds depend on reliable access to quality data. No matter how clever or sophisticated an algorithm is, it can’t accomplish anything without a solid foundation of data built on automated data integration and an infrastructure capable of supporting a wide range of data formats.

Yet, while analytics and AI depend heavily on digital transformation, AI can play a significant role in digital transformation, as well. Specifically, AI can not only help integrate and unify data but also aid in managing data quality, enabling data governance and contributing deeper analytics.

This solution is illustrated by the following Tech Mahindra reference architecture, which shows the progression of data from all sources to storage and analysis. 

AI enhances data management at many stages of the reference architecture:

1. Data integration and unification: AI-powered systems enable automated data mapping, schema matching and transformation. That allows for analyzing and understanding the structure and semantics of data from different sources. This reduces the manual effort required for data integration, accelerates the process and ensures data consistency.
2. Data quality management: AI can help improve data quality by automatically detecting and correcting errors, inconsistencies and duplicates. Machine learning algorithms analyze historical data patterns and identify anomalies or outliers, flagging them for review. AI-powered data quality tools also leverage algorithms to standardize and cleanse data, ensuring its accuracy and integrity.
3. Data governance and compliance: AI can assist in establishing and enforcing data governance frameworks. For instance, AI can automate the identification and classification of sensitive or personal data. This helps organizations comply with data protection regulations like GDPR or CCPA. AI algorithms also monitor data access and usage, identifying potential data breaches or policy violations and providing real-time alerts. 
4. Data analytics and insights: AI extracts insights from large volumes of data quickly. In addition, AI-powered analytics tools uncover hidden patterns in data, enabling data-driven decision-making. AI algorithms can automate the process of generating reports and visuals making it easier for stakeholders.
5. Intelligent automation: AI can automate repetitive data management tasks, such as data extraction, cleansing and transformation. Robotic process automation (RPA) combined with AI capabilities offers the potential to automate tedious and time-consuming data-related tasks, allowing organizations to allocate their resources toward more strategic initiatives. Intelligent automation can enhance efficiency, reduce errors and accelerate data processing.

Overall, AI empowers CIOs with advanced capabilities to effectively tackle data management challenges, enabling them to maximize the value of their data assets, streamline operations and foster innovation across their organizations.

Tech Mahindra: Your partner for digital transformation

Modern enterprises seek to become data-driven organizations with a firm grasp of analytics, business process automation, artificial intelligence and machine learning. For 25 years, Tech Mahindra has used its expertise and focus on data to build award-winning analytics solutions for over 450 customers across diverse geographies and verticals. Consider Tech Mahindra for your digital transformation needs.

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