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The journey from data mess to data mesh is not an easy one—that’s why we’ve written a new ebook as a practical guide to help you navigate the challenges and learn how to successfully implement a data mesh using Confluent Data Streaming Platform
In just a few months since it became widely available, generative AI has swiftly captivated the attention of organizations across industries. In March 2023, IDC polled organizations and found that 61% were already doing something with generative AI (GenAI).
AWS Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service. Lambda functions and Kafka topics can be combined to build scalable event-driven architectures that can fit many use cases across almost any industry.
British Telecom (BT) is a multinational telecommunications company headquartered in London, England. It was founded in 1980 and has since grown to become one of the largest telecommunications companies in the world, providing a wide range of services including fixed-line services, broadband, mobile.
Confluent Access Management, developed alongside Microsoft Azure, allows organization admins to add and manage users and user permissions after they are created via the Azure portal. See how it works.
Whether on shore or on land, cruise companies need to be moving fast and in real time to bring customers stellar experiences. See how a real-time data streaming platform can bridge the gaps for smooth sailing.
When you are focused on protecting more than 500 million people worldwide, you’re always exploring avenues that can get you to the next frontier of empowering individuals against cyber threats.
It's estimated that by 2024, global spending on telecom services will exceed $1.5 trillion. As the critical enabler of growth and innovation across many industries, telecommunication service providers are adopting a cloud-first approach to accelerate time to market, integrate with leading...
Machines in motion, much like data in motion, require an engine to drive their journey. While Confluent and Apache Kafka® are your data-based engine, transitioning the perspective from software and data to hardware requires a more literal engine. No matter the machine—planes, trains, or automobiles
From fraud prevention, autonomous vehicles, voice assistants, and intelligent cybersecurity systems that protect our networks, to recommendation engines, dynamic pricing, and predictive maintenance, streaming analytics infused with AI and machine learning (ML)...
Over years of managing the data streaming needs of top global financial institutions, our system engineers and field CTOs have amassed a wealth of expertise around the critical path to modernizing a core banking system.
In the world of investment banking, there are thousands of trades happening every second. This means that real-time risk and margining are critical for clearing organizations to operate efficiently,and at scale.
Real-time data is rapidly becoming a standard in many consumer applications. From responsive chat applications to low latency financial applications, nobody wants to refresh their browser for new data. With lots of data bouncing around Kafka behind a firewall...
Fleet management has played a fundamental role in the operation of different businesses for decades. Haulage companies, construction firms, taxi operators, and rental businesses have all relied on some form of fleet management system to maintain their fleet of vehicles and increase the efficiency..
The payments industry is evolving rapidly, fueled by technological advancements, changing consumer behaviors, and a growing appetite for real-time transactions. As this transformation unfolds, new standards have been introduced to ensure the payments ecosystem's safety, security, and efficiency.
Back in the 2000s, I was lucky enough to be working at a fantastic software company called Algorithmics, supporting the largest banks with its risk analysis software. At the height of its reach, Algorithmics was voted as the leading enterprise risk firm for market risk, economic capital...
Today’s financial services companies are expected to use data to do it all—minimize friction in the customer experience, maximize business efficiency, and innovate. In siloed organizations, these competing goals result in disjointed data strategies and incompatible data sets...