Systems | Development | Analytics | API | Testing

Integrating Microservices with Confluent Cloud Using Micronaut Framework

Designing microservices using an event-driven approach has several benefits, including improved scalability, easier maintenance, clear separation of concerns, system resilience, and cost savings. With Apache Kafka as an event plane, services now have a durable, scalable, and reliable source of event data. From Kafka topics, a microservice can easily rebuild and restore the state of the data used to serve end users.

Highlights from Confluent AI Day 2024

We hosted our first-ever Confluent AI Day on October 23 in San Francisco and virtually. It was sponsored by Confluent, AWS, and MongoDB, with a vibrant gathering of talent and innovation. With 200 attendees, the full-day event brought together AI developers, technology leaders, and startup innovators to explore how data streaming powers generative AI (GenAI) applications.

Navigating the Future of AI at Yellowfin: Innovation with Care

In this blog, Yellowfin GM Chance Coble discusses the integration of artificial intelligence into our embedded analytics suite, including how we balance innovative features with a responsible approach to the rapidly-evolving fields of AI technologies. At Yellowfin, our philosophy toward artificial intelligence (AI) in business intelligence (BI) solutions is grounded in a deep commitment to innovation and responsibility.

EP 4: Bridging the Gap: Data Professionals, AI, and Real Business Outcomes

Data professionals are at the forefront of today’s digital economy, driving organizational transformation through AI. Yet, despite the vast opportunities AI presents, many data professionals encounter challenges that hinder their ability to lead effectively in this space.

Hitachi Vantara Optimizes Data Infrastructure for La Molisana, Accelerating Digital Transformation

La Molisana, a leading Italian pasta company, selects Hitachi Vantara's Virtual Storage Platform One offering, leveraging advanced data infrastructure to support ambitious growth, strengthen security, and improve sustainability.

Telco Enterprise Data Platforms: Key Success Factors in Building for an AI Future

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. Because data management is a key variable for overcoming these challenges, carriers are turning to hybrid cloud solutions, which provide the flexibility and scalability needed to adapt to the evolving landscape 5G enables.