CIOs: See How You Stack Up With Modern Analytics
Demystifying the Modern Data Stack in the Era of GenAI
We surveyed 200 senior analytics and IT leaders on GenAI, tech stack and tooling, data challenges, and more. Get the full report for the realities of “modern” analytics today to turn blockers into benefits.
Get the Survey Results
We surveyed 200 senior analytics and IT leaders on GenAI, tech stack and tooling, data challenges, and more. Get the full report for the realities of “modern” analytics today to turn blockers into benefits.
88% of IT Leaders Do Not Have Specific Tools/Processes for Managing LLMs
There are mounting complexities when it comes to scaling GenAI (think managing costs of LLMs, achieving AI regulatory compliance, lack of governance, and more). Our survey revealed that nearly all (88%) of respondents lack specific tools and processes for managing LLMs, a process that gets unwieldy (and riskier!) fast without the right tools.
“This maturing phase is a welcome development because it gives CIOs an opportunity to turn GenAI’s promise into business value … Ultimately, getting the full value from GenAI requires companies to rewire how they work, and putting in place a scalable technology foundation is a key part of that process.”
– McKinsey Technology and QuantumBlack AI
by McKinseyThe Story of the Not-So-Modern Data Stack
Question Your GenAI Spend if You Cannot Execute
Combat the New Layers of Operational Risk
Simplify Your Tech Stack and Maintain Optionality
Keep Working on Data Quality (But Don’t Let It Stop You)
![background image](https://pages.dataiku.com/hs-fs/hubfs/Prelude_background.png?width=1600&name=Prelude_background.png)