Edge Platforms, CEO of EdgeVerve Systems Limited, emphasizes the importance of connectivity and utilizing external data to drive innovation and success in enterprises. Artificial intelligence (AI) plays a crucial role in enhancing processes and workflows, making organizations stronger and more competitive. Companies that have access to and effectively use data from various sources are better equipped to make informed decisions and adjust strategies quickly.
Data integration is a complex process that involves using APIs and connectors to link with different sources. Managing these sets of APIs can be challenging, but leveraging AI can help streamline and optimize this infrastructure. By utilizing generative AI (GenAI), organizations can develop and protect APIs more efficiently, creating a virtuous cycle that simplifies existing stacks of APIs and enables easier adoption of more AI technologies.
Structured data, generated by machines and obtained through APIs, is essential for a well-connected enterprise. However, there is also a vast amount of unstructured data, mostly human-generated, that needs to be mined, structured, and analyzed. AI tools such as natural language processing (NLP) can assist in transforming unstructured data into usable formats by performing tasks like entity recognition, sentiment analysis, and keyword extraction.
Creating data pipelines with RPA, automation scripts, and APIs can lead to straight-through processing, benefiting time-sensitive and high-volume processes in various industries. Integration of data assets, pipelines, and other components requires a unified approach, often achieved through data fabrics. AI can aid in generating code, building models, and visualizing results, ultimately helping organizations create a common platform that brings together data and insights from different systems.
Companies that effectively connect with all data sources, make unstructured data more usable, and unify their data infrastructure can gain advantages such as reduced silos, increased flexibility, and enhanced intelligence. Advanced AI technologies can further contribute to these gains and expand possibilities for organizations, whether they are looking to better serve customers, optimize supply chains, or innovate in other ways. By refining connectors, harvesting structured data, and building an enhanced data fabric, businesses can leverage AI to drive innovation, agility, and competitiveness.
