Scale Generative AI With an AI Platform
Navigate the Complex, Ever-Evolving Generative AI Landscape
This short flipbook highlights the four main pathways to scaling Generative AI, with pros and pitfalls of each. Plus, get our recommendation for the most logical approach to ensure a future-proofed Generative AI strategy.
Get Ahead With Generative AI Today
48% of Senior AI Professionals Plan to Invest Over $1M in Generative AI Next Year
A May 2024 survey by Dataiku and Databricks of 400 senior AI professionals worldwide revealed that 48% plan to invest over $1 million in Generative AI within the next 12 months. Additionally, 33% have dedicated budgets for Generative AI projects, highlighting how organization are committed to scaling the technology for maximum business impact.
Dataiku’s technology- and algorithm-agnostic approach means team always have access to the best Generative AI services and models. It's from this philosophy of maximum agility and performance at the best cost to meet business needs that we've developed this flipbook guide to why AI platforms are critical to scaling Generative AI.
“The LLM Mesh represents a pivotal step in AI. At Dataiku, we’re bridging the gap between the promise and reality of using Generative AI in the enterprise. We believe the LLM Mesh provides the structure and control many have sought, paving the way for safer, faster GenAI deployments that deliver real value.”
— Clément Stenac, Chief Technology Officer and co-founder, Dataiku
There's a New Sheriff in Town for Building a Modern AI Platform Strategy: Generative AI
Discover Why an AI Platform Is the Pathway of Choice for Today and Tomorrow
HOW DO YOU CHOOSE THE RIGHT STRATEGY?
What tradeoffs do data leaders need to weigh when it comes to the four main pathways to scaling Generative AI?
4 MAIN PATHWAYS TO SCALING GENERATIVE AI
SHOULD YOU REALLY INVEST IN AN AI PLATFORM?
BUILD REAL GENERATIVE AI APPLICATIONS WITH DATAIKU
Drive Short-Term And Sustained Value With The LLM Mesh
The LLM Mesh from Dataiku is your answer to the key concerns about safely scaling LLMs in the enterprise: cost, privacy and security, compliance, technological dependencies, and more.