July 2021 Summaries

Clarifai's Release 7.7 introduces a suite of new tools and features designed to enhance the processing of unstructured data across image, video, text, and audio formats, as part of their mission to deliver "The World's AI." The release includes the launch of a "Hate symbol" visual detector model, which identifies and locates ADL-recognized symbols like the "confederate-battle-flag" and "swastika" to aid in content moderation. New platform capabilities such as image masks for semantic segmentation, and the ability to add or remove workers in the Scribe tool for dataset labeling, enhance precision and flexibility. The Quick-mask tool facilitates pixel-level object selection, while the single task report feature in the worker management dashboard offers insights into team performance and productivity metrics, underscoring the continuous effort to improve machine learning technology for better data insights.

Unstructured data, which lacks a predefined organizational structure, is rapidly growing and now comprises the majority of data generated globally, with predictions that the global datasphere will reach 163 zettabytes by 2025. This type of data, originating from both human and machine sources, includes digital photos, videos, business documents, and machine-generated data like surveillance and weather data. The challenge with unstructured data lies in its irregularities and ambiguities, making it difficult for traditional software to process and analyze. However, advancements in AI and machine learning are enabling the transformation of unstructured data into structured data, providing advantages such as easier data parsing, analysis, and increased security. These technologies allow companies to extract valuable insights from vast amounts of unstructured data, enhancing business intelligence and enabling the creation of new products and services. Additionally, semi-structured data, which contains some organizational elements like metadata, offers another layer for data classification and retrieval.