[Ebook] The Builder's Guide to Streaming Data Mesh | Read Now
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.
I’ve worked with artificial intelligence for nearly 20 years, applying technologies spanning predictive modeling, knowledge engineering, and symbolic reasoning. AI’s tremendous potential has always felt evident, but its widespread application always seemed to be just a few more years away.
IoT data is a valuable asset for wireless companies, enabling better network performance, enhanced customer experiences, reduced costs, and new business opportunities. As the IoT ecosystem continues to grow, wireless companies that effectively harness and analyze data will be better positioned...
Within this blog, we’ll introduce you to the latest cohort of partners who have built Confluent integrations within their applications and highlight customer success stories from across our partner ecosystem.
Telemedicine has widened access to healthcare across the globe. It has allowed people to access services such as video consultations, virtual diagnosis, and remote condition monitoring, helping them to overcome common challenges to obtaining healthcare...
We’re excited to announce the launch of the new fully managed BigQuery Sink V2 Connector, a significant upgrade to our existing BigQuery Sink (Legacy) Connector. The new connector leverages the Google-recommended Storage Write API, adds OAuth 2.0 support...
Happy New Year! It’s not too late to say that, right?
Order management systems (OMS) have evolved from keeping paper records and spreadsheets to using web-based platforms that can automate manual tasks, minimize errors, and optimize inventory levels. In today's fast-paced business environment, managing orders effectively and efficiently is crucial...
Confluent is excited to closely partner with Pinecone as they unveil Pinecone serverless—a new serverless vector database, enabling more developers to build real-time, cost-effective, and highly performant GenAI products.
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