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Digital Transformation has changed IT the way information services are delivered.
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Panel by Steve Totman, Chief Strategy Officer at Privitar; Bruno Grieder, CTO & Co-Founder at Cosmian; and Jake Lundberg, Field CTO at HashiCorp; and moderated by Pablo Alvarez Yanez, Global Director Product Management at Denodo.
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The combination of Denodo and Looker delivers a modern BI infrastructure built on the foundation of a logical data warehouse. By leveraging templated Looker Blocks for various data sources, getting started with analysis is amazingly fast.
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Presentation by Philip Russom, Ph.D. Independent Industry Analyst for Data and Analytics (Formerly an analyst with Gartner, TDWI and Forrester).
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Data-Centric AI is the point of view around making it easier for practitioners to understand, program and iterate on datasets, instead of spending time on models. While contemporary AI and ML practices has been focused on models, the real-world experience of those who put models into production is that the data often matters more. The goal of this presentation is to explain the tenets of data centric AI such as Data Augmentation, Data tagging, Data Programming & Weak Supervision, Self-Supervision, and MLOps with a Data-centric approach to make it accessible by anyone who wants to understand and contribute to this area. Furthermore, we will explore how MLOps makes data centric AI an efficient and systematic process, and what role virtualized data fabric can play in Data-centric AI.
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Are you modernizing your legacy on-premises data warehouse to its cloud equivalent? Stop! Have you answered these questions: Which cloud data warehouse? Does it fit my performance, scale, and cost requirements? How long will it take? How will my business users access the data during the transition?
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Data virtualization is the key technology for establishing a logical data fabric architecture. The only data integration style designed for distributed architectures, data virtualization provides a logical data access layer on top of multiple heterogeneous systems in hybrid, distributed architectures.
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This presentation featuring guest speaker Deb Mukherji, Practice Head – Data Analytics & AI from our partner firm Tech Mahindra provides practical tips on how to start and later expand a logical data fabric implementation. Implementing a logical data fabric is not a one-shot deal. It is a journey. How do you start small, demonstrate ROI, and then expand to additional use cases?
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Understanding Denodo's Value & Sizing

Denodo Platform pricing is tailored to your specific use cases to ensure the best value. To help you build your business case, we recommend these resources:

Download our independent ROI study to see how customers achieve a 345% ROI.

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For pay-as-you-go options, see Denodo Agora on the Cloud Marketplaces.

Contact our team for a detailed estimate based on your needs.

See our logical data management page for an overview of the Denodo Platform’s approach, and learn how it delivers data to business and technical users at the speed of business, as well as how it delivers AI-ready data to AI applications, in real time.

Watch this 3-minute logical data management explainer video to see how, in an AI-driven world, logical data management delivers a consistent, trusted, and secure way to unify, access, and share data across your organization.

Download O’Reilly’s The Rise of Logical Data Management (complimentary) to learn how logical data management works, covering semantics, scalability and performance, data governance and security, and more.

Read The ROI of Using the Denodo Platform alongside the Modern Data Lakehouse, an independent study conducted by Veqtor8, which found that leveraging the Denodo Platform alongside a data lakehouse boosts ROI by 345% over operating a data lakehouse on its own.

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