Customers & Business Blog

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...

Discover how Dialpad integrates data streaming and real-time analytics to power their AI-powered call center solutions.

Every consumer action in our modern world creates data, and businesses must make sense of it quickly to take advantage of opportunities in real time. This is especially true in the quickly maturing world of financial services...

First quarterly update of the CwC program since launch in July of 2023. Primary goal is to showcase the 12 new partners in the program.

In 2023, business analytics and business intelligence have both been around for long enough to have been adopted by most companies as a requirement for effectively operating their businesses. With this has come whole ecosystems of tools and technologies to capture, process, and glean insights...

With Halloween just a few days away and temperatures dropping (in most parts of the world!), it’s safe to say that we’re right in the middle of “spooky season.” And while ghosts and ghouls may bring delight to those who enjoy a scary movie or two, there’s one nightmarish creature..