Real-time data integration drives finserv innovation and AI
Discover how NAB, RBI, and Blend use Fivetran to deliver real-time insights, improve reporting, and enhance customer experiences with AI in financial services.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How to Run an Automated CI/CD Workflow for ML Models with ClearML
If you are working with ML models, having a reliable CI/CD (Continuous Integration and Continuous Deployment) workflow isn’t just a nice-to-have, it’s essential. Your team needs a robust, automated process to validate data, train models, and deploy them without human error slowing things down. That’s where ClearML comes in, offering a seamless solution to orchestrate, monitor, and automate your ML pipelines.
Building High Throughput Apache Kafka Applications with Confluent and Provisioned Mode for AWS Lambda Event Source Mapping (ESM)
Confluent and AWS Lambda can be used to build scalable and real-time event-driven architectures (EDAs) that respond to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka and built on Kora: The Cloud-Native Engine for Apache Kafka, allowing you to focus on building event-driven applications without operating the underlying infrastructure.
Motivating Engineers to Solve Data Challenges with a Growth Mindset
With almost two years at Confluent under her belt, Suguna Ravanappa has taken impressive strides as a people manager. Her eight-person team of engineers in the Global Support organization helps customers tackle technical challenges in their data streaming environments. According to Suguna, leading this team and being part of Confluent’s unique company culture has helped her develop stronger skills as both a leader and a collaborator. Learn more about her experience.
Lenses.io Introduces Streaming Data Replicator
New York City, US - February 12, 2025 - Lenses.io, a data streaming innovation leader whose software helps developers power the world’s largest businesses, today announces the development of an enterprise grade and vendor-agnostic Kafka-to-Kafka replicator. It will enable organizations to share streaming data across different domains, in order to keep up with real-time data demands as AI adoption grows.
EP 10: 2025 Predictions
What’s the Forecast? A look at data and AI in 2025 2025 is set to be a year of growth and change, particularly in the AI space. Over the last couple of years, AI has evolved from a niche technology to a driving force behind business strategies, innovation, and efficiency in almost every industry. Its impact is felt far and wide. It is not only shaping how we search for information, but how we digest and react to the world around us.
The AI Tipping Point: What Advertising, Media and Entertainment Leaders Need to Know for 2025
AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the advertising, media and entertainment industry gets serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.
The Ultimate Guide to Social Media Analytics in 2025
You wouldn’t run a business without tracking revenue, so why treat your social media strategy any differently? Every post, ad, and campaign needs to be backed by data—not just gut instinct. However, there’s a problem with accurate tracking… social media platforms simply throw out an overwhelming amount of data, and not all of it matters.
The First Step in Data Streaming
Finding pain is key to starting your real-time data streaming journey, as Tim Berglund, VP of Developer Relations at Confluent, shares.
FinOps Best Practices: Balancing Performance and Cost for Databricks
Join us for an innovative session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we explore cutting-edge strategies to optimize both performance and cost in your Databricks environment. Striking the perfect balance between high performance and cost efficiency is crucial. Yet, 80% of data management experts struggle with accurate cost forecasting and management (Forrester). We'll show you how to overcome these challenges and lead the pack in Databricks FinOps.