Edge Platforms, EdgeVerve Systems Limited, is led by its CEO who believes that successful companies are those that are well connected and able to access and utilize external data effectively. Artificial intelligence (AI) plays a crucial role in enhancing sources, processes, and workflows, making enterprises stronger, faster, and more competitive. According to a McKinsey report, organizations with an externally informed mindset are less susceptible to biases and internal politics, enabling rapid course-correction of strategies and other initiatives.
Data integration is a key element for connected enterprises, with companies using application programming interfaces (APIs) and connectors to link with data sources. Managing these sets of APIs can be challenging, but companies can use crowdsourcing to reuse and adapt capabilities. Additionally, AI can be used to build and manage API infrastructure, with emerging use cases for generative AI focused on developing, optimizing, and protecting APIs. Leveraging structured and unstructured data is crucial for a connected enterprise, with natural language processing (NLP) and AI tools helping to transform and structure data in usable formats.
Large companies deal with a significant volume of unstructured data generated by customer inquiries, complaints, and other sources, which may account for up to 90% of all enterprise data. Leveraging this data requires mining for information and structuring it into usable formats, a challenge that natural language processing (NLP) and AI tools can help address. With the use of RPA, automation scripts, APIs, and data pipelines, organizations can create data fabrics that streamline processes and boost predictive power. Data dictionaries, data catalogs, and new data architectures are essential components for managing data assets effectively.
Companies are turning to data fabrics to integrate data assets, pipelines, and other components, with AI playing a role in generating code, building models, and visualizing results. By efficiently connecting with all data sources, making unstructured data more usable, and unifying data infrastructure, companies can benefit from fewer silos, more flexibility, and greater intelligence. Advanced AI can further enhance these gains, allowing organizations to better serve customers, optimize supply chains, and build new applications. By refining their targets and cleaning up connectors, organizations can harness the power of AI to drive innovation, agility, and competitive strength.
In conclusion, Edge Platforms, EdgeVerve Systems Limited, led by its CEO, is at the forefront of utilizing AI to enhance data integration, manage structured and unstructured data, and build data fabrics for connected enterprises. By leveraging the power of AI in decision-making, process optimization, and data management, companies can position themselves for success in today’s competitive business landscape.
