In the Media

HCLTech announced the launch of an advanced clinical trials and diagnosis solution in collaboration with Denodo and Amazon Web Services (AWS) ecosystem solutions to accelerate the pace of diagnosis and treatment research. This clinical trials and diagnosis solution helps pharmaceutical companies capture comprehensive data insights from the clinical studies, streamlining clinical trials and enabling quicker and better decision-making. The solution enables healthcare providers to efficiently compare new treatments against standard ones, considering varied dosages and demographic impacts through a centralized data model that is secure with real-time access to critical data.

Denodo, a company specialising in data management, has announced that Shimizu Corporation has implemented the Denodo Platform to enhance its data infrastructure. This move aims to increase data utilization across the organisation, improve operational efficiency, manage rising construction material costs, and streamline compliance with updated overtime regulations.

The recent cyber-attack on the NHS has highlighted the reality of data risk, particularly in public services. The ongoing modernisation and increasing digitisation of healthcare raises concerns about data security and patient privacy among a growing population of service users. Recent data shows that there were an estimated 600 million patient interactions across the service in 2023/24.

Denodo, a leader in data management, announced that it has been placed as a top vendor in the first edition of the Active Data Architecture™ report, 2024 from Dresner Advisory Services, LLC. Denodo secured the top spot in this highly competitive evaluation report based on its overall strength in data integration, metadata management, data governance, performance and ADA access.

HCLTech, a prominent global technology firm with operations across Asia Pacific (APAC) and the US, has unveiled a cutting-edge clinical trials and diagnosis solution developed in partnership with Denodo and Amazon Web Services (AWS). This collaboration aims to accelerate research in diagnosis and treatment by leveraging robust data management capabilities.

With each new generation of Generative AI (GenAI) technology, the big tech businesses behind it will tout the new competencies and capabilities they have baked into their models, and users playing with it will likely have, at some point, a common response: how did it know how to do that? Whether it’s offering nuanced answers about choosing between local restaurants or explaining complicated concepts that human experts would be hard-pressed to define, a big part of the current excitement for GenAI lies in its (sometimes spooky) ability to know.

In an interview with Alberto Pan — EVP and CTO at Denodo, the Palo Alto, California-based data management company — we discussed how generative AI will impact the data space. While GenAI has primarily focused on unstructured data, which makes up 80% of all data, the real value in corporate settings lies in accessing databases and semi-structured data. Pan believes that GenAI can significantly enhance business intelligence (BI) and self-service data usage.

Angel Vina discusses Denodo’s 25-year journey to democratise data in organisations and the continued relevance of their vision in the age of cloud computing and diverse data ecosystems.

Denodo, a leader in data management, announced that the Denodo Platform offers seamless integration with Amazon Bedrock large language models (LLMs), to streamline the development of powerful new GenAI enterprise applications with security, privacy, and responsible AI.

Denodo, a leader in data management, announced that the Denodo Platform offers seamless integration with Amazon Bedrock large language models (LLMs), to streamline the development of powerful new GenAI enterprise applications with security, privacy, and responsible AI. This powerful combination helps in the creation of virtual assistants and agents that can draw on myriad data sources to understand user requests, automatically break down tasks, engage in dialogue to collect information, and take actions to fulfill the request.