Resources

Revolutionize automotive manufacturing with smart solutions. Boost productivity, ensure quality, and stay ahead in the competitive landscape.

With stream processing taking action on the constant flow of real-time data, enterprise architects and senior technical leadership can shift their strategies and operations toward real-time responsiveness to deliver better outcomes.

Join us for this Hazelcast webinar which delves into the challenge of combating new fraudulent tactics and explore how machine learning (ML) has become a key strategy in minimizing prediction errors.

Real-time responsiveness goes beyond mere speed; it’s about having systems that proactively seize opportunities when data uncovers them. While you’ve made significant investments in faster infrastructure, can it truly respond immediately to signals in your data? In this webinar, sponsored by Hazelcast, you will gain insights into: To watch now, fill in the form on […]

The volume of sensor data being generated is rapidly increasing. This data can be used to gain valuable insights into various systems, such as monitoring the health of industrial equipment, tracking the movement of vehicles, and detecting patterns in financial transactions. However, the opportunities are often perishable necessitating that the data be analyzed and acted […]

Everywhere one looks, there is talk these days of businesses being data-driven. Yet, a survey of 1,163 organizations by the Cloud Security Alliance found that the majority consider most of their enterprises’ data to be “dark data,” or basically data overlooked by analytic applications and processes. Far too often, mainframe data is excluded entirely from […]

Businesses today need to access the data on their mainframes to unlock that data’s value. In particular, there is great value to be gained if the data can be made accessible to data consumers in the lines of business, data analysts, and data scientists who rely on cloud analytics platforms for their analytics and reporting […]

To keep up and modernize operations, it is increasingly critical for businesses to be able to easily utilize mainframe data alongside all other data within an organization’s system. Speed is essential today. Market conditions change rapidly. New opportunities are emerging all the time. To meet rapidly changing demands and to afford the required flexibility and […]

For businesses to succeed today, getting timely insights and taking action quickly are critical. Gartner has observed that there are “increasing business demands for situation awareness in daily operations, and the need to sense and respond to emerging situations more quickly.” This eBook, sponsored by Netspring, explains what business-centric operational intelligence means, how it works, […]

Machine builders and original equipment manufacturers (OEMs), particularly those with globally-distributed fleets, are facing the ‘yin and yang’ of growth and competition. On one hand, it’s easier than ever to enter the global market, building and maintaining machines from Amsterdam to Zhengzhou. But this ease of accessibility also leads to increasing competition and the entrance […]

Have you ever wished that you can generate recurring revenue and secure your business relationships for the long-term? In this webinar for machine manufacturers, sponsored by Siemens, you’ll learn how Siemens’ Equipment as a Service solution can help you develop new business models for your machines and provide you with recurring revenue streams. To watch […]

Original equipment manufacturers (OEMs) need new ways to grow revenue and differentiate themselves as the state of the industry evolves with new technologies. As consumer demands and expectations grow, manufacturers urgently need to embrace digitalization and the industrial Internet of Things (IoT) to better compete and meet customer needs. While one of the best ways […]

Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? This webinar, sponsored by Hazelcast, covers the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects. You’ll learn: […]

In this technical webinar, sponsored by Hazelcast, Java Champion Ben Evans provides an introduction to stream processing as well as an overview of core techniques and how to get started building a stream processing application using real world use cases and live demos. Watch now to learn: Stream processing core techniques (including DAGs, serialization and wait-free […]

Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time. Using directed acyclic graphs (DAG) to model relationships between individual steps in the data processing pipeline, Hazelcast Jet is simple to deploy and can execute both batch and stream-based data processing […]

SQL remains the de facto standard for operational applications to interact with back-end databases. So many mission-critical applications rely on SQL that if SQL databases disappeared overnight, our world would be thrown into chaos. Watch this on-demand webinar today to learn how to modernize and scale your SQL applications, making them agile and intelligent – […]

The state of digital business is rapidly changing and the next wave of digital leaders will be those that use new technologies, like Kafka event-stream messaging, to deliver real-time customer experiences. Find out what this means for application developers and enterprise architecture in this webinar, “Kafka, Events, and the Future of Application Development,” sponsored by […]

The past year has been the ultimate test for supply chain networks—and many have been found to be wanting. Trade wars, shifts in global trading relationships, and the COVID-19 crisis have wreaked havoc on even the most sophisticated supply chain systems, resulting in slowdowns, missed shipments, and an inability to meet customer requirements. In this […]