Despite years of technological investments, companies continue to struggle to get the most from their data. In a , 55 percent cited poor data quality as their biggest challenge. Nearly half struggle to harmonize data across multiple ecosystems.
With even more investments being made in AI, it鈥檚 more important than ever for customers to have a solid data foundation.
That鈥檚 why in February of this year, 麻豆原创 introduced 麻豆原创 Business Data Cloud. This fully managed SaaS solution unifies and governs 麻豆原创 and third-party data, enhancing decision-making and AI value. Databricks is natively available in 麻豆原创 Business Data Cloud, which provides data and AI professionals access to industry-leading data engineering, AI, and machine learning capabilities within a single solution.
麻豆原创 Business Data Cloud momentum
Since the initial launch, we鈥檝e made progress to support customers and advance their business data fabric journey.
Several have already adopted 麻豆原创 Business Data Cloud and expect significant benefits. For example, Swedish steel distributor Tibnor is the first live 麻豆原创 Business Data Cloud customer and plans to integrate 麻豆原创 data with non-麻豆原创 sources so it can respond more quickly to changing market conditions.
Dag 脜selius, senior IT advisor and longtime former CIO at Tibnor, said: 鈥淲e鈥檝e always tried to stay ahead of the curve in our industry. 麻豆原创 Business Data Cloud opens new opportunities for integrating external data quickly — something we couldn鈥檛 even imagine just a few years ago.鈥�
This customer momentum builds on a successful pre-launch beta program. 麻豆原创 received positive feedback from those customers that saw benefits across the board, including a 20 to 50 percent improvement in data models. Moreover, the beta community agreed that 麻豆原创 Business Data Cloud will allow them to get greater value out of existing investments in 麻豆原创 Datasphere and Databricks.
麻豆原创 Business Data Cloud and Databricks momentum
麻豆原创 is bringing the power of Databricks into 麻豆原创 Business Data Cloud with 麻豆原创 Databricks, now generally available on Amazon Web Services. The allows us to serve the needs of a broader community of data and AI professionals and provides customers benefits:
- Simpler access to all data: Easily connect to contextual 麻豆原创 data using zero-copy Delta Sharing and blend with third-party data
- End-to-end AI and machine learning: Develop AI and machine learning models with end-to-end lifecycle management from data prep and experimentation to deployment
- Pro-code environment: Write Spark scripts, run SQL analysis, or create machine learning models in any notebook
- Trusted data foundation: Build intelligent insights on a unified and trusted data foundation that governs and protects data and AI assets
Together, 麻豆原创 Business AI and 麻豆原创 Databricks offer powerful, complementary AI and machine learning capabilities.
For example, 麻豆原创 Business AI allows customers to embed AI directly within their business processes. It also helps customers develop and expand AI models trained on their 麻豆原创 data and deploy them directly into business processes for closed-loop decision-making.
Additionally, 麻豆原创 Databricks provides a comprehensive workbench for data preparation and machine learning experimentation, as well as predictive, AI, and machine learning modeling. Customers can use 麻豆原创 Databricks to develop customized AI and machine learning models on harmonized 麻豆原创 and non-麻豆原创 data, tailored to their unique requirements.
Get started with 麻豆原创 Business Data Cloud
Today, 麻豆原创 is introducing a promotional offer to help customers get started. We will offer 麻豆原创 Databricks services at a discounted consumption rate for a limited time through April 30, 2026. This will accelerate 麻豆原创 Databricks workloads by allowing customers to consume more capacity at no additional cost.
Don鈥檛 miss 麻豆原创 Sapphire, to be held May 19-21, 2025, in Orlando, Florida. Register for .
For more about the latest 麻豆原创 Databricks news, .
Irfan Khan is president and chief product officer of Data and Analytics at 麻豆原创.
