Podcast: Five Data Management Trends for 2025

In this episode of Weaver: Beyond the Numbers, our host covers five data management trends to prepare your organization for artificial intelligence (AI) in 2025.

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Detailed Description of Weaver: Beyond the Numbers, Five Data Management Trends for 2025

00:00:00
Nitya: Hello everyone! As we are entering 2025, the landscape of data is changing with the transformative trends. Over 90% of organizations are going to implement AI in their business processes this year and only 10% feel fully prepared with their data infrastructure. In order to unlock the full potential of AI, we need to have a solid data foundation. Here are five data management trends to prepare your organization for AI in 2025.

00:00:33
Nitya: One: Data quality and integrity. AI’s full potential can be maximized if you have high quality data and have a unified data warehouse and infrastructure to fuel the AI. In 2025, companies are going to invest in automated tools to do data cleansing, validations and unification of different data sources.

00:01:01
Nitya: Two: Data democratization and accessibility. Improving AI’s potential, it needs to be accessible by more people in the organization. In 2025, companies are going to provide platforms which are much more user friendly for not just the technical but non-technical users within the organization to maximize the potential of AI.

00:01:25
Nitya: Three: Data governance. Companies need to comply with regulations like GDPR and CCPA, and they are looking towards AI to have some automated ways to build their audit trails, have frameworks that can secure and have sound governing bodies towards their data and infrastructure.

00:01:47
Nitya: Four: Data security. In this era, personal and sensitive data has become much more critical for every organization, companies are looking towards AI to provide them smarter ways to make it much more secure for them in 2025 and beyond.

00:02:08
Nitya: Last but not the least is data fabric and integration. Data fabric, as the word itself, is basically nothing but a smart architecture to provide an end-to-end integration of various data sources. It provides almost a real-time access to the data, whether it resides on an on-premise server or a cloud based application. It allows companies to access, unify and integrate this data, and fuel their data models and applications to get real-time insights and fuel their analytics too.

These five trends of data management will help your organizations to prepare well for AI in 2025 and beyond. Thank you so much.