At our most recent AIPCon, we announced the general availability of AIP Virtual Tables — a connectivity solution that makes it seamless to get started with AIP’s full spectrum capabilities, without requiring any data replication or duplication. Simply connect your existing data investments and go.
This blog post discusses why this capability is so exciting for enterprises that have made investments in various data architectures, and are now looking to leverage those investments within a next-generation AI architecture.
Palantir AIP brings the power of Generative AI to the entire organization, ensuring the secure integration of cutting-edge models with the data systems, algorithms, and systems of action that drive daily decision-making. Examples of AIP-powered workflows include:
From longstanding large-scale enterprise customers to those just getting started in an AIP Bootcamp, Virtual Tables enables users to begin building AIP-powered workflows in minutes. It connects data assets within your enterprise’s data lakes, data lakehouses, and data platforms — without any costly or messy data duplication.
AIP Virtual Tables offers several major advantages:
As organizations identify the most powerful ways to incorporate Generative AI into the enterprise, maintaining architectural optionality is critical. The correct technical approach will vary, depending on needs of specific workflows and applications. As AIP-powered feedback loops strengthen your understanding of where AI creates the most value within decision-making processes, Virtual Tables offers the flexibility to evolve the specifics of your underlying architecture to meet new requirements.
AIP Virtual Tables helps you preserve this optionality in several ways:
Tyson Foods is one of the world’s largest food companies, specializing in the production and distribution of high-quality protein products. Tyson Foods is leveraging AIP — and along with it, Virtual Tables — to accelerate its adoption of AI-powered workflows.
Virtual Tables is a game changer for Tyson Foods. It enables our analytics organization to move with the velocity we’ve grown to love with Palantir, while simplifying our architecture. In just a few minutes, we used Virtual Tables to register all 1,700 golden tables in our BigQuery data lake. This allowed us to begin building AI-powered workflows instantly. The best part is, we no longer need to copy our data; we can now simply utilize it right where it resides. It’s truly amazing how seamless and efficient the entire process has become. Virtual Tables also helps us clean up our cloud spend 40–50% by removing large amounts of duplicate data processing and storage and getting to “one version of the truth.” — Nathan Marks, Sr. Staff Solutions Architect, Tyson Foods
For organizations with existing data architectures, AIP Virtual Tables offers the fastest path to getting AI use cases into production — while preserving architectural optionality. For additional details, we encourage you to read our technical documentation here. And to experience the difference of AIP and AIP Virtual Tables first hand, reach out to your Palantir rep to reserve your AIP Bootcamp slot.
AIP Virtual Tables was originally published in Palantir Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.
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