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...
With AI model inference in Flink SQL, Confluent allows you to simplify the development and deployment of RAG-enabled GenAI applications by providing a unified platform for both data processing and AI tasks. Learn how you can use it to build a RAG-enabled Q&A chatbot using real-time airline data.
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.
What do Apna, India’s largest hiring platform currently connecting 40 million job seekers to 445,000 employers across 174 cities, Meesho, India’s fastest ecommerce platform to cross one million registered sellers, and Glance, InMobi-owned live lock screen infotainment...
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.
Founded in 2016, Factorial took aim at the stagnant HR software market with their own unique twist. Factorial is present in over 65 countries, having raised $220 million in venture funding, and employs over 950 people. The company’s goal is to bring modern HR solutions...
Today’s consumers expect to be kept updated on the status of their orders 24/7. Whether they’re requesting a ride, receiving a package, or purchasing items online, they want to know the current status without having to contact sellers directly.
Today, we’re excited to introduce our new Connect with Confluent (CwC) partner program—unlocking growth for technology partners and further extending the global data streaming ecosystem.
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.
This year, we crossed an important threshold: data streaming is now considered a business requirement for organizations across many industries. Findings from the 2023 Data Streaming Report show that 72% of the 2,250 IT leaders surveyed are using data streaming to power mission-critical systems.
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