IBM Watson Knowledge Catalog powers intelligent, self-service discovery of data, models and more, activating them for artificial intelligence, machine learning and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside.
Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more.
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly. SageMaker Ground Truth offers easy access to public and private human labelers and provides them with built-in workflows and interfaces for common labeling tasks.
The hub of Clarifai’s technology is a high performance deep learning API on which a new generation of intelligent applications is being built. It enables Clarifai to combat everyday problems with high tech solutions by providing the most powerful machine learning systems to everyone in new and innovative ways.
Cloudera Navigator is a complete data governance solution for Hadoop, offering critical capabilities such as data discovery, continuous optimization, audit, lineage, metadata management, and policy enforcement. As part of Cloudera Enterprise, Cloudera Navigator enables performance agile analytics, supporting continuous data architecture optimization, and meeting regulatory compliance requirements.
DQLABS – AI-powered data quality platform that has built-in processes and technologies to improve, monitor data quality and prepare “ready-to-use” data for use across reporting, analytics and MDM solutions. DQLabs was created with the vision to provide a simple way for organizations to handle issues around data quality, governance, curation, master data management effectively. With the use of AI and Machine Learning – the sophistication of the technology is blended carefully with the art of simplicity. All complex tasks around connection, data profiling, curation, master data management and reporting are all done in a few clicks.
Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the 1,368 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines. The dataset currently consists of 1,087 validated hours in 18 languages, but we're always adding more voices and languages.
Innovative Global 2000 companies trust Reltio to manage their mission-critical data and thrive in the experience economy. Reltio Connected Customer 360 is a fundamentally better way to create rich customer profiles that include relationships, omnichannel transactions, and interaction data, and other valuable insights. Global 2000 enterprises use this information to fully understand customers and deliver exceptional experiences. Reltio Connected Customer 360, built on cloud-native, big data architecture featuring graph technology and machine learning, is at the heart of customer experience to drive hyper-personalization, accelerate real-time operations, and simplify compliance, all at scale.