The Way forward for Information and AI Belongs to Open and Moveable Platforms
The promise of AI has by no means been better. 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 best 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 suitable basis could make or break a corporation’s knowledge and AI initiatives. As the unique creators of Apache Spark™, we have labored with hundreds of enterprises on their knowledge transformation journeys. One sample has emerged persistently: 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 complete potential of their knowledge.
In the present day, we’re excited to share our newest whitepaper, “The Open Platform Mandate: Why Information + AI Success Relies on 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 concerns for evaluating knowledge and AI infrastructure
- Strategic benefits that solely open and transportable applied sciences can present
Important Insights for Technical Leaders
In the event you’re a technical chief navigating these selections, this whitepaper is your roadmap. You will uncover frameworks for evaluating platforms, insights from profitable implementations, and techniques for constructing scalable, versatile infrastructure that grows along with your wants.
The whitepaper attracts on our in depth expertise working with massive startups and world enterprises to reply questions like:
- What does “open” actually imply within the context of information and AI platforms?
- How do you consider the true price of platform lock-in?
- What are the hidden components 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 nicely. 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 method has by no means been extra important. Our whitepaper offers the insights that you must make knowledgeable selections about your group’s future.
Study extra
Obtain your copy of the “The Open Platform Mandate” as we speak.
Uncover why hundreds of thousands of builders and main corporations belief their knowledge and AI initiatives to open foundations designed for interoperability and knowledge portability.
