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The Confluent for Startups AI Accelerator Program is a 10-week virtual initiative designed to support early-stage AI startups building real-time, data-driven applications. Participants will gain early access to Confluent’s cutting-edge technology, one-on-one mentorship, marketing exposure, and...
Catch up on AI Day’s Keynote; AI Accelerator launch; panel discussion with Anthropic, AWS, MongoDB, Reworkd, and Confluent; GenAI RAG workshops; and a hackathon with a GenAI app showcase. Watch the full livestream on demand.
Build with Confluent helps system integrators develop joint solutions faster, including specialized software bundles, support from data streaming experts to certify offerings, and access to Confluent’s Go-To-Market (GTM) teams to amplify their offering in the market.
It is well understood that the promise of artificial intelligence (AI) is dependent on careful curation and management of data. The adage “garbage in, garbage out” is particularly applicable to AI.
In online and mobile gaming, the ability to deliver exceptional player experiences is crucial for attracting new players and increasing player satisfaction and retention. This in turn creates a competitive edge that drives revenue generation and long-term success for game developers.
In today's rapidly evolving technological landscape, efficient communication between platforms and merchants is crucial for e-commerce success. For Extend, a modern product protection platform, ensuring seamless backend communication with their merchant partners was a top priority.
Will LaForest, Field CTO at Confluent, recently sat down with Anne Steptoe and Srdjan Pejic from Wealthsimple, a firm that’s disrupting the traditional investment management landscape in Canada.
Data breaches and cyber attacks are a growing concern among many companies today. With the ever-increasing cost of data breaches, businesses are constantly searching for ways to secure their data and infrastructure better.
As a consumer, you’ve no doubt ordered something online by tapping into the e-commerce functionality of BigCommerce. The aptly named platform enables many big-name brands—Ben & Jerry’s, Crest, GE, Harley-Davidson, and tens of thousands of others
Check out how data streaming works and how it helps businesses act, not react, to what's happening in real time. Get the data streaming basics and explore how businesses are getting started.
Our business at Loggi has grown a lot over the past few years, and with that expansion came the realization that our systems had to be more distributed. We pushed our architecture to a new level so we could keep up with the company's growth by building new event-driven systems and real-time data
Real-time fraud prevention has become a critical capability in the financial services industry. That’s especially true for digital-native banks like EVO Banco, which can be particularly vulnerable to common methods of financial fraud.
Capturing tech trends has become a bit tricky these days: whatever industry you’re in, uncertainty abounds. Planning has become harder, but businesses are finding new ways to innovate and respond quickly to fast-changing market conditions.
Spring has arrived in the northern hemisphere, and as we delight in the sight of flowers blossoming, trees budding, and greenery sprouting, we're reminded of the promise of brighter and warmer days ahead.
Over the last decade, financial services companies have doubled down on using real-time capabilities to differentiate themselves from the competition and become more efficient. This trend has had a huge impact on customer experience in banking especially, and home mortgage company Mr. Cooper
Who isn’t familiar with Michelin? Whether it’s their extensive product line of tires for nearly every vehicle imaginable (including space shuttles), or the world-renowned Michelin Guide that has determined the standard of excellence for fine dining for over 100 years, you’ve probably heard of them.
At Treehouse Software, when we speak with customers who are planning to modernize their enterprise mainframe systems, there’s a common theme: they are faced with decades of mission-critical and historical legacy mainframe data in disparate databases,