The Way forward for Knowledge and AI Belongs to Open and Transportable Platforms
The promise of AI has by no means been higher. As organizations race to rework their operations with knowledge and AI, they face a important determination that can influence their success for years to come back: selecting the best basis for his or her knowledge infrastructure.
However with this transformative potential comes advanced questions. How do you guarantee your infrastructure stays versatile as know-how evolves? What’s one of the simplest ways to keep away from vendor lock-in whereas accessing enterprise-grade capabilities? And maybe most significantly, how do you future-proof your know-how investments on this quickly altering panorama?
Why Openness and Portability is the Reply
At Databricks, we have seen firsthand how the best basis could make or break a company’s knowledge and AI initiatives. As the unique creators of Apache Spark™, we have labored with 1000’s of enterprises on their knowledge transformation journeys. One sample has emerged constantly: probably the most profitable organizations construct on open foundations designed for interoperability and knowledge portability.
That’s why we proceed to champion open requirements with Delta Lake, Apache Iceberg™, MLflow, and open supply Unity Catalog on the core of our platform. These applied sciences assist a extra unified and interoperable atmosphere for securely managing knowledge at scale throughout clouds and platforms, serving to organizations to extra simply unlock the total potential of their knowledge.
In the present day, we’re excited to share our newest whitepaper, “The Open Platform Mandate: Why Knowledge + AI Success Depends upon Openness and Portability.” This complete information reveals:
- Why main organizations are shifting away from proprietary options
- The important dimensions of platform openness and portability that influence your success
- Important issues for evaluating knowledge and AI infrastructure
- Strategic benefits that solely open and moveable applied sciences can present
Important Insights for Technical Leaders
If you happen to’re a technical chief navigating these choices, this whitepaper is your roadmap. You may uncover frameworks for evaluating platforms, insights from profitable implementations, and methods for constructing scalable, versatile infrastructure that grows along with your wants.
The whitepaper attracts on our intensive expertise working with massive startups and world enterprises to reply questions like:
- What does “open” actually imply within the context of knowledge and AI platforms?
- How do you consider the true price of platform lock-in?
- What are the hidden elements that decide long-term success?
Constructing Your Future on Open Foundations
Constructing on open foundations isn’t nearly knowledge infrastructure—it extends to AI fashions as effectively. Open basis fashions like Meta Llama 3.2 Fashions on Databricks are setting new requirements for accessible, high-performance AI, reinforcing the significance of interoperability throughout the whole AI stack. As organizations scale their AI initiatives, leveraging open fashions alongside open knowledge and open platforms helps guarantee long-term flexibility and innovation.
In an period the place knowledge and AI capabilities make or break aggressive benefit, selecting the best platform strategy has by no means been extra important. Our whitepaper offers the insights you have to make knowledgeable choices about your group’s future.
Be taught extra
Obtain your copy of the “The Open Platform Mandate” at the moment.
Uncover why tens of millions of builders and main corporations belief their knowledge and AI initiatives to open foundations designed for interoperability and knowledge portability.
