In this video, IBM explains their Designed for Data approach to information technology.
Designed for Data means extending beyond traditional sources of data to generate insight by leveraging new forms of information. Leading enterprises are evolving, from amassing data in application silos, to delivering trusted information for optimized business outcomes across the entire information supply chain. Learn more about IBM’s smarter computing approach to big data and information integration.
In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger.
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