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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

" — James Lin, Head of AI ML Innovation, Experian The Path Forward: From Lab to Production in Days, Not Months Early customers are already experiencing the transformation Agent Bricks delivers – accuracy improvements that double performance benchmarks and reduce development timelines from weeks to a single day.

Analytics 331
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Mosaic AI Announcements at Data + AI Summit 2025

databricks

Bring your real-time online ML workloads to Databricks, and let us handle the infrastructure and reliability challenges so you can focus on the AI model development. With LLM serving, we’ve now launched a new proprietary in-house inference engine in all regions.

AI 277
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Introducing Databricks One

databricks

Why We Built Databricks One At Databricks, our mission is to democratize data and AI. For years, we’ve focused on helping technical teams—data engineers, scientists, and analysts—build pipelines, develop advanced models, and deliver insights at scale.

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Announcing managed MCP servers with Unity Catalog and Mosaic AI Integration

databricks

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

AI 178
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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Growth Outlook: Companies like Google DeepMind, NASA’s Jet Propulsion Lab, and IBM Research actively seek research data scientists for their teams, with salaries typically ranging from $120,000 to $180,000. With the continuous growth in AI, demand for remote data science jobs is set to rise.

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What Is a Lakebase?

databricks

Product December 12, 2024 / 4 min read Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Database 213
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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning Blog

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

ML 129