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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.
Classic punch cards (and fishing for them in your wallet or occasionally misplacing one) have become a thing of the past, as today's digital landscape demands more innovative solutions.
Businesses that are best able to leverage data have a significant competitive advantage. This is especially true in financial services, an industry in which leading organizations are in constant competition to develop the most responsive, personalized customer experiences.
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.
In Nigeria, small and medium-sized businesses (SMBs) make up 48% of the national GDP. Moniepoint provides financial solutions to power the aspirations of these SMBs from payment, credit, business management to banking services.
In the capital markets, the adage “time is money” applies even after the trade is made. Investors who want to gain quicker access to their funds are confined by a post-trade settlement process that still relies on batch processing.
Healthcare providers have long known the benefits of a single patient view (SPV). A clinician’s ability to securely access and act on patient data which spans disparate medical disciplines, departments, and locations is key to the effective provision of healthcare.
According to the World Bank, around 56% of the world’s population currently live in cities. By 2050, it’s predicted this will rise to 70% (with the global population more than doubling in the same time frame). This acceleration toward urbanization is putting city infrastructure under enormous strain
In the era of Industry 4.0, the fusion of smart, autonomous systems with digitization is propelling manufacturing and supply chain operations into uncharted efficiency. Industry 4.0, otherwise known as the Fourth Industrial Revolution, marks the normalization of the smart factory.
Acquiring a single prescription medication is a complex end-to-end process that requires the seamless orchestration of data across drug manufacturers, distributors, providers, and pharmacies in the healthcare ecosystem.
For telecommunication companies (telcos) facing risks of equipment failures, software misconfiguration, network overload, and power outages, annual service outage costs can exceed billions of dollars. How can some of these costs be avoided?
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 the bustling world of retail, the concept of a smart warehouse is a game-changer. Picture this: automated systems seamlessly managing inventory counts and fulfillment orders, monitoring shelf weights, and orchestrating robot fleets for lightning-fast retrievals. Welcome to smart warehousing...
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).
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.