Podcast Guest: Dominic Sartorio, VP of Product Marketing at Denodo
Read MoreArtificial Intelligence
A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof?For example:Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation.Data Architectures will need to adapt to feed these powerful new models.Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads...
Read MorePartner Keynote by Eric Little, Industry Innovation Principal Director at Accenture.
Read MoreLeasePlan, a global leader in Car-as-a-Service (with approximately 1.8 million vehicles under management in 29 countries), is transforming from an analog business model to one that is fully digital. LeasePlan worked with Denodo to create a logical data fabric across all its key data sources – modern, cloud-based, and legacy – with a single point of access. Read further to understand how the logical data fabric provides a foundation for data self-service, simplifies migrations to the cloud, and helps LeasePlan to create transformational new use cases in customer experience and convenience,...
Read MoreChris Day, Director, APAC Sales Engineering for Denodo, gives a product demonstration of the Denodo Platform to show some of the capabilities that data virtualization can deliver when talking about logical data fabric.Watch full webinar here.
Read MoreData lakes and data warehouses offer organizations centralized data delivery platforms. The recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important. In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans,...
Read MoreIn the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we have discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.In this session, you will learn how your organization can apply a logical data fabric and the associated technologies of machine learning, artificial intelligence, and data virtualization can reduce time to value....
Read MorePresented at CIO Academy Asia's annual flagship summit, ConnectGov Leaders Summit 2021AI and machine learning (ML) are at the core of the digital revolution. These technologies are providing organizations with better insights, better decisions, and enhanced competitive advantage. Digital enterprises now depend on these technologies to grow and prosper. This panel session will discuss how AI and ML are being used to create value for businesses today and how these technologies are increasingly being used to power digital enterprises.Esteemed Panelists:
Read MoreYou will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't...
Read MoreWhy a logical data fabric is the cornerstone to Building a Unified Data Warehouse and Data Lake
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