Io-Tahoe Files Patent Applications for its Data Discovery Platforms

Io-Tahoe, a provider of smart data discovery and AI-driven data catalog products, is filing three new patents with the United States Patent and Trademark Office to continue to transform the data discovery space.

The patent filings cover the generation of data signatures that accurately describe data in a human friendly form using advanced NLP (Natural Language Processing) techniques.

“Across all industries, we see the convergence of, smart and intelligent systems with artificial intelligence in data discovery platforms, to enable the reduction of the most critical and time-consuming components of data analysis”, said Rohit Mahajan, Io-Tahoe’s Co-Founder and Chief Technology Product Officer. “I believe our unique and highly innovative solution enables Io-Tahoe to better address the unmet business challenge of being able to analyze large databases quickly and efficiently, as well as realize value from hidden or unknown relationships within ‘dark data’. For this reason we continue to grow our patent portfolio.”

Io-Tahoe uses several proprietary signature techniques to capture the meaning of data. This invention advances existing functionality and delivers benefits to customers immediately.

One of the fundamental tenets driving Io-Tahoe’s discoveries is that the data, not the metadata, holds the meaning of the content; the signature algorithms continue to strengthen the core discoveries and deliver unprecedented value to the enterprise.

Io-Tahoe’s AI-Driven Data Catalog leverages its machine learning algorithms to perform discovery on the hidden or unknown – ‘dark data’, producing unique and consistent signatures for the entities.

Population of the Data Catalog is automated by leveraging Io-Tahoe’s advanced technology - machine learning algorithms and natural language analysis - to automatically tag data.

The AI-Driven Data Catalog provides more accurate and descriptive tags of the underlying data as it relates to the business. T

his further enhances and accelerates a consistent understanding of the data across the enterprise, identifies data anomalies and potential compliance issues, as well as provides a centralized reference for all enterprise citizens.

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