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Description

Gain valuable insights by harnessing a vast array of data generated by humans. This includes information sourced from social media platforms, blogs, news articles, and various other mediums. By consolidating social, blog, and news data into a central repository, you can access both real-time and historical information derived from billions of data points. The platform processes and enhances this data instantaneously, ensuring precise analysis. With DataSift, you can seamlessly integrate Human Data into your business intelligence (BI) systems and operational workflows in real-time. Moreover, our robust API empowers you to create custom applications tailored to your needs. Human Data represents the most rapidly expanding category of information, encompassing the full range of content generated by individuals, no matter the format or delivery channel. This includes text, images, audio, and video shared across social networks, blogs, news outlets, and within organizational environments. The DataSift Human Data platform integrates all these diverse data sources—both real-time and historical—into a single location, revealing their significance and enabling their application throughout your business landscape. By leveraging this data, organizations can drive innovation and informed decision-making effectively.

Description

bi(OS)® offers an unmatched speed to insight for developers of data applications in a cohesive manner. With bi(OS)®, the entire process of creating data applications can be completed in just a matter of hours to days. This comprehensive approach encompasses the integration of diverse data sources, the extraction of real-time insights, and the smooth deployment into production environments. By joining forces with enterprise data teams across various sectors, you can transform into the data superhero your organization needs. The combination of Open Source, Cloud, and SaaS has not fulfilled its potential for delivering genuine data-driven results. Enterprises have largely focused their investments on data movement and integration, a strategy that is ultimately unsustainable. A fresh perspective on data management is urgently required, one that considers the unique challenges of enterprises. bi(OS)® is designed by rethinking fundamental principles in enterprise data management, ranging from data ingestion to insight generation. It caters to the needs of API, AI, and BI developers in a cohesive manner, enabling data-driven outcomes within days. As engineers collaborate effectively, a harmonious relationship emerges among IT teams, tools, and processes, creating a lasting competitive advantage for the organization.