The article further discusses the differentiation that businesses can achieve by using their unique data to fuel and train AI models. It suggests that organizations that have archived and retained all of their unstructured data will have a distinct advantage. The article also outlines the steps organizations should take to implement an AI-based data strategy, including a thorough evaluation of existing data assets, clear goal-setting, establishing an AI model evaluation process, and standardizing data collection, storage, and management processes. It concludes by stating that the ability to manage, enrich, and use unstructured data will be a fundamental criterion for success in the digital age.
Key takeaways:
- Unstructured data, such as video surveillance data, images, videos and IoT sensor data, is growing exponentially and poses both immense potential and significant challenges for organizations looking to catalog and analyze their data.
- AI-powered tools are essential for effectively managing and leveraging unstructured data, turning it into a competitive differentiator for businesses.
- Unique data, such as an organization's support calls, training videos, research data, and video surveillance footage, can give a differentiated advantage in the data-driven arena.
- Implementing an AI-based data strategy requires a thorough evaluation of existing data assets, clear goal-setting, standardizing data collection, storage and management processes, and developing robust data governance policies.