Real-time Analytics, Assurance and Optimization Using Hybrid and Virtualized Solutions

whitePaper | August 12, 2020

Denodo Platform 8.0 is a significant step forward in realizing the vision of a logical data fabric as a unified data delivery platform that bridges the gap between IT infrastructure and consuming business applications. Denodo Platform 8.0 is based on the same data virtualization technology that Denodo has developed over the years to unify data integration, metadata management, security, and data governance. Denodo Platform 8.0 greatly accelerates the delivery of governed data to all data consumers, in the most appropriate format for each, across multiple distributed heterogeneous systems

whitePaper | October 20, 2022

The digital evolution of the financial services (FS) industry is heavily reliant on having quality information and analytics to deliver services to customers and manage operations in an efficient and risk-appropriate manner.

whitePaper | November 30, 2022

The first-generation low-code platforms required considerable adaptations and months of development in the late 1990s and early 2000s. Gartner expects that by 2024, low-code/no-code automation will account for 65% of all app development.

whitePaper | April 14, 2021

While the new era of remote work has provided some businesses with surprising productivity boosts as high as 13%, many are still struggling to secure their suddenly expanded network of remote endpoints and IT resources against a growing onslaught of cyberthreats.

whitePaper | September 28, 2022

Architecting IT infrastructure has never been more challenging than it is today. Many enduser workloads, such as semiconductor design, autonomous driving development, and life sciences and healthcare are growing more complex every day. With that complexity comes growing demand on IT.

whitePaper | June 28, 2022

Artificial intelligence (AI) has been accelerating across sectors. It has great potential to benefit society but the technology’s full potential can only be realized if it includes the diversity of the populations it represents throughout every step of its development. With growing concerns about bias, data privacy and lack of representation, it is critical to re-evaluate the way in which AI is both designed and deployed to ensure that all affected stakeholders and communities reap the benefits of the technology, rather than any harm.