Machine Learning

LeasePlan, 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,...

Presented at World AI & RPA Show, MalaysiaTo support machine learning, many organizations leverage data lakes, as they can collect large volumes of data from multiple sources, including structured and unstructured sources, and store the data in its original format. However, storing data in different formats does not necessarily facilitate discovery, as data in different formats must first be integrated before it can be leveraged for machine learning. Due to the increasingly distributed nature of data infrastructure in today’s enterprises, data integration gets more complex.Data...

Chris 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.

Data 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,...

In this webinar, we will hear from leading independent business intelligence analyst, Rick van der Lans, the benefits of creating a logical data fabric and why data fabrics, in general, are the only successful modern architecture for data integration and data management projects. We will learn from Rick how a logical data fabric smooths away the challenges of all of the competing data architectures business users, data scientists, and other data consumers come across when interfacing with disparate data sources in data lakes, data hubs, data warehouses, and other data silos.Rick will discuss...

In 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....

Presented 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:

Presented at World AI Show 2021, PhilippinesIn AI/ML systems, applications or machines are set up to learn from new information, and gradually, over time, they acquire the intelligence to support day-to-day business processes and decision making. The more data they receive, the more they learn, and the more accurate their predictions are. However, extracting data from multiple sources and then replicating it to a central repository is the old and inefficient way. This approach results in 80% of the project time being spent on data acquisition and preparation tasks.Data virtualization is a...

You 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...

So your data architecture keeps getting more and more complex - new data sources, new data types and formats, and ever-increasing demands from the users for more, better, and faster data. You're struggling to keep up and your users are getting more and more vocal about the amount of time it takes to get their data. But you have faith in your ETL tools. They've solved the problem in the past and you're sure that they can do the same now…or can they?ETL tools - or even the ELT variants - have their use and purpose. We're not going to argue that.However, they are not the solution to all of your...