Unstructured data provider – Indico Data – announced the general availability of its Indico Unstructured Data Platform, which automates, analyzes, and applies previously inaccessible unstructured data to mission-critical enterprise workflows. Indico offers a platform that can be deployed on the private cloud, or hosted by Indico, and provides business value within a few days, not weeks or months.
Tom Wilde, CEO of Indico Data, said, “Extracting value from unstructured data is a significant business challenge because traditional automation and analytics solutions cannot access it without thousands of hours of human time to code, structure, classify, and analyze. In a time when digital transformation needs to happen at warp speed, our platform ensures customers can keep pace and capitalize on the value trapped in unstructured data –– and we help them do it in just a few days.”
With the Indico Unstructured Data Platform, leading companies within the financial, real estate, and insurance sectors, including MetLife, Cushman & Wakefield, and Chatham Financial, can:
- Process unstructured data in an automated way, reducing time and cost often associated with dealing with it, delivering previously unachievable savings in both time and money
- Extract actionable business insights and intelligence from the data
- Incorporate these insights and process automation capabilities into the business, supporting key initiatives for business transformation
According to analysts, up to 85% of data across the enterprise is unstructured, including texts, CSV files, video files, PDFs, and emails. Using Indico’s Unstructured Data Platform, insight is provided into previously unreachable unstructured data, transforming it into actionable business insights that drive transformational initiatives.
The Indico Unstructured Data Platform leverages human AI and machine learning (ML) to address unstructured data in a way that doesn’t rely on brittle rules and template-based approaches. Indico’s customers have consistently enjoyed success rates of over 90%. According to Gartner, only 20% of AI-driven projects deploy. As a result, the processing time and the capacity of the process are increased 400% while resources are reduced by 80%.