The Path of an AI Creator News: Latest information on Databricks Data + AI Summit 2025! Introducing new features that data professionals must see! Full of tips for using AI! #Databricks #DataAISummit #AIDevelopment
Video explanation
Will AI become more accessible? An easy-to-understand explanation of "Databricks Data + AI Summit 2025," which will make it much easier to use data in the future!
Hello everyone! When you hear about AI and data, you might think, "It sounds difficult..." But it's also an exciting technology that could make our lives more convenient.
Recently, a company called Databricks held a big event called Data + AI Summit 2025, where they announced many new technologies and services. This event was packed with tips on how to use AI more easily and make better use of data!
Today, I'd like to explain the key points of this presentation in an easy-to-understand way so that even those who are new to AI can say, "Wow, I see!"
What are the exciting new technologies announced?
At this event, there were many announcements, ranging from amazing things that were like something out of a science fiction movie to things that might make our work and daily lives just that little bit more convenient. Here are the five points we want to pay particular attention to.
1. AI creating AI? "Agent Bricks" makes it easy to develop AI assistants!
We often hear about "AI agents" these days. They are like smart AI assistants that can automatically perform various tasks for us. For example, they can make restaurant reservations for us, collect and organize information, etc.
However, creating an AI agent is actually very difficult. It requires specialized knowledge and time, so many companies find it difficult to get started.
That's when "Agent Bricks"Agent Bricks is a tool that automates the process of creating an AI agent. It's like an AI is teaching you how to create an AI assistant, or helping you. This may make it easier and faster for even non-experts to develop AI agents!
Moreover, Agent Bricks is also linked to systems for properly managing data and AI models, such as "Unity Catalog" and "MLflow 3.0", so you can use it with peace of mind. There are still many features under development, but I'm looking forward to them!
2. Is it okay if you're not an expert? "Lakeflow Designer" lowers the barrier to data analysis!
When working on an AI project, we often hear the term "data engineering wall." This refers to the problem that the tasks of collecting data for AI learning and organizing it neatly so that it is easy to use are very specialized and time-consuming.
To solve this problem, the following was announced:Lakeflow Designer" This tool is said to be like the "ETL (data collection, preparation, and storage) Canva"!
Canva is a tool that allows anyone to easily create stylish designs. Lakeflow Designer is similarly easy to use, with intuitive screen operation and AI support to easily create data flows (called data pipelines). This means that data analysts may be able to do the work that they previously asked data engineers to do themselves. It looks like it will also make collaboration within a team smoother!
- You can understand the data flow at a glance
- AI helps you make it
- Easier collaboration between experts
Although this is still just a "preview version," it looks set to bring major changes to the way data is used in the workplace.
3. Data analysis just by talking? With "Databricks One," anyone can utilize data!
Many people may think, "Data analysis is impossible without programming or specialized knowledge, right?"Databricks One" is a new platform.
What is this?Enabling people without programming knowledge to use AI and BI tools (tools that analyze business data and make it useful for management)That's what we're aiming for! The idea is that you can just talk to it in a chat and the AI will analyze the data and create graphs for you.
In this Databricks One,
- AI/BI Dashboards: You can create graphs and perform advanced analysis of data without writing any code.
- Genie: Ask the AI questions in a conversational format and it will give you answers about the data.
It seems to include features like these. Of course, data management and security (known as governance) have been well thought out, so you can rest assured. If this is realized, anyone, whether they're in charge of sales or planning, may be able to easily view data and use it in their work!
In addition, Databricks has started offering a free version of its platform, which will likely give more people more opportunities to come into contact with data and AI.
4. Combine with a database! "Lakebase" makes AI development smoother
To develop AI, a database is essential to efficiently handle large amounts of data. Databricks recently acquired a company called Neon, which has database technology, and is integrating that technology into its platform to develop "Lakebase"We began offering it in this form.
Neon's technology is based on a very popular database called PostgreSQL. By using Lakebase, developers don't have to worry too much about difficult server settings and performance issues when developing AI agents. This means that developers can focus more on creating AI, which may help keep costs down.
This is a bit technical, but in short,The foundation for AI development will be more solid and easier to use" That's it!
5. AI helps you move your data! Smoothly with "Lakebridge"
When a company introduces a new system, a task called "data migration" occurs, in which data is transferred from the old system currently being used to the new system. This is actually often very difficult and time-consuming.
Databricks previously acquired a company called BladeBridge to help with this data migration, and is leveraging that technology to developLakebridge" Lakebridge is a free tool that uses AI to help with data migration, making it easier and more accurate to transfer data to the Databricks system.
Having AI help with the moving process seems like something from the future! This may make it easier for companies to switch to the latest data utilization environment.
Summary and author's thoughts
Wow, there was a lot going on in this Databricks announcement! It makes it easier to develop AI agents, makes data analysis possible even for non-experts, databases have been enhanced, data migration has become easier... All of these were exciting topics that seem to make AI and data more accessible.
Of course, many of the features are still in "development" or "preview" so not all of them will be available right away. But as these technologies continue to evolve, I feel great hope that our work styles and lives will become more convenient and enriching.
When you hear the word AI, you might be worried that it might take away your job, but if used well, it can be a powerful ally that expands our possibilities. I'd like to continue to keep an eye on the news about this new technology!
This article is based on the following original articles and is summarized from the author's perspective:
Databricks Data + AI Summit 2025: Five takeaways for data
Professionals, developers