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.

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.

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.

Logi Symphony from insightsoftware recognized as the premier embedded BI and analytics solution for deriving instant, data-driven insights.

2024 has been a year defined by technological innovation as the rise of AI made a profound splash for SAP-powered finance teams. On the other side of the coin, they also struggle with skills shortages that make it difficult to keep up with the speed of developing technology.

Everyone wants the same thing: To work less and profit more. But not everybody knows how to achieve those things. At Astera, we’re pretty sure we’ve cracked the code, and you might be surprised to learn that it starts with how you process your documents.

This expert panel discussed how businesses can prepare for challenges and opportunities with AI, powering smarter models and personalized experiences.

In 2024, organizations realized the revolutionizing business potential of gen AI. They accelerated their gen AI operationalization processes: explored new use cases to implement, researched LLMs and AI pipelines and contemplated underlying ethical issues. And with the seeds of the AI revolution now planted, the market is maturing accordingly.