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With the advent of modern Large Language Models (LLMs), Retrieval Augmented Generation (RAG) has become a de-facto technology choice, employed to extract insights from a variety of data sources using natural language queries. RAG combined with LLMs presents many new possibilities for integrating Generative AI capabilities within existing business applications, specifically opening up many new use cases within the data streaming and analytics space.

Financial services companies are leveraging data and machine learning to mitigate risks like fraud and cyber threats and to provide a modern customer experience. By following these measures, they are able to comply with regulations, optimize their trading and answer their customers’ needs. In today’s competitive digital world, these changes are essential for ensuring their relevance and efficiency.

Database replication involves making sure important data is replicated across multiple locations within a company. In the advanced digital age, businesses must take all measures to safeguard their data and ensure its availability at all times. Data availability is important for proactive decision-making and empowering other tech, such as AI. This is where database replication becomes a high priority. But what is database replication exactly?

Today, we are thrilled to unveil what our CEO Onur Alp Soner calls "not just a new version, but a new path forward" for Countly. As a leading digital analytics platform, we’re launching our most significant release to date, featuring two transformative tools—Journeys and Content Builder—crafted to redefine how you engage and personalize experiences for your customers. ‍

Some companies have created that unfair advantage by unlocking data’s hidden treasures, or by leveraging a powerful ecosystem, or by overcoming adversity, or through other great means like a unique company culture. Another great way is driving excellence in partner engagements to unlock value quicker than your competitors. So, what are the key ingredients for that particular recipe?

See for yourself how Fivetran high-performance pipelines sustain high throughput and low latency even for the largest workloads.

Yassir decided to consolidate our data infrastructure with Google Cloud to bring all its storage and analytics functions into one place.

Some 70% of organizations are actively exploring or implementing large language model (LLM) use cases, but fewer than a third of generative AI experiments have made it into production. A common hurdle? The inability to access and leverage the data crucial for running AI applications effectively. Snowflake’s Accelerate 2025 virtual events dive into the challenges and myriad opportunities offered by AI.