An inside look into how we use our own platform to bring generative AI from concept to execution.

Modern organizations generate large amounts of logs from multiple data sources, creating significant challenges when it comes to analyzing the data and extracting useful insights at scale. Data scientists can tackle these challenges with help from Mosaic AI, which helps Databricks users build and deploy artificial intelligence (AI) and machine learning (ML) solutions.

Complex, evolving challenges in today’s enterprise IT environments require a proactive, strategic approach to plan for growth, minimize downtime and seamlessly adopt new technologies. Achieving operational excellence in IT operations is key to overcoming these challenges and enabling sustained business growth. Investing in skill development is also crucial for driving innovation and staying competitive in rapidly evolving technology landscapes.

If the operating theme for finance teams in 2024 was “automate workflows and optimize costs to drive value,” then the operating theme for 2025 is shaping up to be, “stay the course.” While inflation did recede in 2024, it did so much more slowly than hoped, leading to fewer interest rate cuts than expected and slower economic growth than desired.

Recap: This is the last part of our four chapters: It’s been a long time coming, but we’ve finally arrived at the fourth and final installment of our blog series. In this series, we’ve been peeling back the layers of Apache Kafka to get a deeper understanding of how best to interact with the cluster using producer and consumer clients. At a high level, a fetch request is comprised of two parts: Let’s dive in.

A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.