Denodo DataFest 2021

Advanced Semantics, Security and Privacy

Denodo and our customer will delve into the details of how the Denodo platform supports advanced semantic enhancement of meta data and the relevance this plays to data privacy and governance as well as data security.

Denodo Data Innovation Award: Data Catalog - A key to accelerate business users' self-service analytics

The much sought after Denodo Data Innovation Award. Who will be the winner this year? Listen two customers duel it out. You determine the winner.

Denodo Data Innovation Award: Logical Data Fabric: A Customer Case Study

The much sought after Denodo Data Innovation Award. Who will be the winner this year? Listen two customers duel it out. You determine the winner.

Prioritizing Time to Business Value

Large and complex data servicing platforms can be an expensive investment and frankly can take a long time to deploy. But data virtualization is a key to ensure that your business teams can extract immediate value from insights that were previously unattainable. In this session, Patrick Meneses, Chief Data and Analytics Officer of MDI Novare Technologies will discuss how key architectural decisions are critical to ensuring that while you keep an eye on the long road, you can also reap immediate benefits from your investments. The trade offs of traditional data model design techniques versus new virtual business lead data models will keep your organization humming on new innovation.

The Data Fabric Journey; Becoming a data driven organization

The Data Fabric Journey; Becoming a data driven organization

Fireside Chat - The Australia and New Zealand Banking Group (ANZ)

Join this session to hear how Denodo's latest customer, The Australia and New Zealand Banking Group (ANZ) is planning to use and implement Denodo Data Virtualization.

Building Business Agility through Data Virtualization

Based on our understanding for the current big data development trend, we can clearly see that the major challenge for future data platform is how to better support the business change by providing more agility in data platform. Most of the business today build their platform with traditional data architecture which involves a lot of complex data movement. This is the bottleneck for IT to be more agility to face business changes. Denodo provides a new thought about how to leverage data virtualization to reduce the unnecessary data movement with better data catalog, data security as well as fast query engine to help business improve their data platform to be more agile.

Simplifying Enterprise Transformation

Reimagine and redefine people’s relationships with the digital and physical worlds. Servian helps navigate the journey of transforming an organisation’s customer experience, operational processes, and business models by leveraging data.

Data-centric Artificial Intelligence – A Practitioner’s Perspective

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.

Data driven digital transformation in BFSI

The BFSI sector has faced a dramatic upsurge of digitalisation initiatives during the pandemic period. Data management is an important aspect to be addressed while an institution undergoes massive digitalisation. Case studies in this talk will discuss how data virtualisation can resolve some of the challenges BFSI sector faces such as proper management of data for complying with regulations, data privacy laws etc.