AI agents are like businesspeople's "new colleagues" that traverse internal data, documents, tools, and more to propose the "next best action" based on the situation and handle automated processing without waiting for human instructions. Incorporating them into business processes improves the reproducibility of judgments and the speed of decision-making, dramatically improving business efficiency. This webinar will focus on use cases for AI agents and introduce examples of how Databricks' AI agent feature, "Agent Bricks," can be used. Additionally, we will provide information to help you get started right away, such as the cost of a starter package for getting started small and the estimated implementation schedule. If you're looking to transform your business with AI, be sure to tune in.

Why not take the first step towards leveraging your company's dormant data? For those struggling with issues like "I don't know what tools to use," "It's a long way to go until I can publish a dashboard," or "I'm stuck because I'm not good at SQL," this program will introduce the efforts of a company that used Databricks to achieve a small start. Using Databricks as the data infrastructure, the practical process of quickly launching data import, data transformation (ETL), visualization (BI), and dashboard publishing will be discussed from the perspective of a person who actually worked on the project. We will also provide a detailed explanation of the features and functions of Databricks that were particularly useful in the project, so you can walk away with concrete tips and a roadmap that will help you get started right away after just 60 minutes.

Databricks Data+AI Summit 2025 (DAIS 2025), the largest annual event hosted by atabricks, was held in San Francisco and online from June 9 to 12, 2025. More than 700 sessions covering the latest trends and technical information on data and AI were delivered, and many people participated online as well. This video does not simply introduce new technologies, but also provides a selection of must-see topics from the perspective of on-site realities and on-site utilization, on how to utilize them in the field and create business value. Together with Knowledge Communications, we will share the excitement of Databricks Data+AI Summit 2025 in a roundtable format, so please take this opportunity to watch it.

The key to creating fan bases through CX measures is not to "capture trends" but to "understand each user correctly and use that knowledge in the customer experience." In this session, we will introduce a system that links the latest "customer understanding" to "experience design." Please take this opportunity to learn how to improve CX by making full use of IDs and data.

With the release of ChatGPT, it has become widely recognized that building large-scale language models can perform a variety of tasks, and an increasing number of companies are introducing ChatGPT to improve business efficiency and utilize internal knowledge. On the other hand, some companies may be hesitant to introduce ChatGPT in-house due to concerns about information leaks. This issue may be solved by building your own LLM using an open source LLM that has already been trained in Japanese. In this video, we will compare the advantages and disadvantages of using in-house knowledge with ChatGPT and open source LLM, and explain how to build your own LLM using actual environments and knowledge data. Please take a look.