Author

Mitesh Shah

Mitesh Shah is the Director, Cloud Product Management at Denodo Technologies. He has broad experience around various facets of software development along with business systems analysis, and program testing; known for his ability to analyze complex issues with an analytical mindset, incubate and streamline innovative solutions, and promote a consensus-driven work environment that contributes to on-time and on-budget delivery. Throughout his career, Mitesh has enjoyed a focus on helping clients address their data driven and solution architecture needs.
Unleash the Power of Generative AI and Denodo Platform to Deliver a Differentiated 10-K Performance with Clinical Trial Data
Artificial Intelligence, Data Governance, Data Management, Technology

Unleash the Power of Generative AI and Denodo Platform to Deliver a Differentiated 10-K Performance with Clinical Trial Data

Reading Time: 3 minutes One of the biggest frustrations across the board in healthcare and clinical research is poor quality data. High quality data is essential for clinical trials, as well as for improving healthcare for patients. But all too often, clinical researchers are…

Blog_LeveragingDenodoPlatformwithAmazonBedrockLLMstoBuildIntelligentChatbotsUsingEnterpriseData
Artificial Intelligence, Data Fabric, Data Management, Technology

Leveraging the Denodo Platform with Amazon Bedrock large language models (LLMs) to Build Intelligent Chatbots Using Enterprise Data

Reading Time: 3 minutes Organizations of all sizes and types are harnessing large language models (LLMs) and foundation models (FMs) to build generative artificial intelligence (GenAI) applications that deliver enhanced customer and employee experiences. But to do so, AI application builders or citizen data…

Data Virtualization in the Cloud
Cloud

Data Virtualization in the Cloud

Reading Time: 3 minutes The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud. In this kind of a landscape, how can we gain insights…

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