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.
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.
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.
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.
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.
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.
While some organizations are planning or establishing a multi-cloud strategy, for many organizations it is still a far cry, given the underlying complexity and associated risks. Listen to this panel of experts debate and talk about how real is a multi-cloud strategy for organizations and how a logical data fabric may offer some needed help.
Learn from the true experts from Denodo's product management team. In this session they will run through some real life use cases of key Denodo features and how Denodo's customers have realised true benefits. We will also as importantly touch on some examples of what not to do.
Denodo Data Catalog is complementary to some of the standalone Data Catalogs. Some standalone data catalogs offers wider reaching policy management . The Denodo Data Catalog provides access to the data which has been virtualized in Denodo. This provides for a quick data discovery, documentation, and business-UI for querying across virtualized views. In this session subject matter experts will debate as to why you need Denodo Data Catalog for your self-service data strategy
The data driven decision making requires greater data democratization in organizations and Data Marketplace is an essential enabler for that. However, to implementing & sustaining the Data Marketplace could be a daunting task given the data diversity and organization dynamics. Data Virtualization can be a powerful accelerator for the data marketplace solution and also provides a strong foundation for a secure and well governed system. This session explores the Data Marketplace and the role of Data Virtualization as an enabler and associated best practices. Listen to Wipro’s perspective on the theme.
As organizations are going global and every functional unit is making data-driven decisions, data is getting distributed globally. At the same time, different functional domains deal with different data products; managing the data-product silos by a centrlized IT team becomes complex. A Data Mesh built with Data Virtualization may hold the answer to that problem. In this session Denodo subject matter expert will talk about how Data Virtualization technology enables a global data delivery strategy with a Data Mesh.
Cloud offers many advantages – lower cost, compute at scale, and unlimited storage! And there are many approaches to migrating to the modern cloud from legacy on-premises systems and applications. Of these approaches, the logical data fabric is one that offers business continuity while the migration is in process. Listen to this fireside chat about how you can accomplish such a migration using Logical Data Fabric.
Denodo offers such a broad range of functionality that some features don't get enough attention. However, there are little gems hidden in plain sight that can make a big difference for some use cases. Attend this session to have a quick overview of 5 of the most interesting ones.
Excelling in business requires moving faster than the competition, but your business can move only as fast as your data. How do you expedite the time-to-answers? How do you empower business users with self-managed analytics and liberate them from going to IT every time? Listen to the CMO’s tough questions and insightful answers from CDAO!
As organizations opt for cloud computing platforms and migrate their data and applications to a hybrid cloud environment, they use multiple platforms to support new and increasing data types for analytics. However, as enterprise data architectures expand to incorporate both cloud and on-premises platforms and systems, the complexity of the environment leads to operational inefficiencies. Data latency and redundant computation, coupled with diminished data awareness leads to missing data consumer expectations for rapid information analysis and delivery.
Performance is critical for an organization across the board. Developers can optimize execution with Summaries, MPP, Data Movement, and more. Business users rely on the Recommendation engine to guide them to the right data. Let’s discover and learn about various performance acceleration techniques in this session.
The future of infrastructure management lies in automation. In this session, Denodo subject matter expert will talk about how in a multi-cloud scenario, the infrastructure can be automatically managed transparently via a web GUI. Audience will get to see that in action through a live demo.
Many mid-large organizations are adopting logical data fabric architecture whereas other are still curious. This esteemed panel will explore if and why organizations should adopt logical data fabric strategy. Listen and learn to help your own future data and analytics strategy
During this session, Denodo CTO Alberto Pan will discuss how a logical data fabric and the associated technologies of machine learning, artificial intelligence and data virtualization is the right approach to assist organizations to unify their data. He will discuss how a Logical Data Fabric reduces time to value hence increasing the overall business value of your data assets.
COVID has educated us about drug development, testing, approval, administration and post launch study processes. All these steps to development clinical trials to real-world care heavily use data – generating data from various sources, analyzing them for efficacy and adverse reactions during, and post, trial. But without a solution to seamlessly manage and analyze these datasets together, the process can become manually intensive and delay the time-to-market and understanding of a drug. In this presentation, the Denodo partner will discuss how life sciences companies increasingly need to blend clinical trial and real-world data with a logical data fabric.
Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.
Join VP and Principal Analyst at Forrester, Michele Goetz to learn, what is Data Fabric and why data-driven organizations need one; how to create a logical data fabric and some of the most important use cases; how organizations can expect to reap a substantial ROI by deploying a logical data fabric
Join Denodo CEO Angel Vina and CMO Ravi Shankar in this session to hear about the latest trends in data management, the role of data virtualization, and logical data fabric and how Denodo is helping to solve some of the toughest data management problems.