Domino Data Lab details AI deployment realities
Enterprise AI platform company Domino Data Lab suggest that we need to rethink some of how we consider the development, management, implementation and extension of generative intelligence functions in modern applications.
As part of a study among enterprise AI leaders concerning how their companies are deploying AI in the real world, the Domino team suggest that – despite the hype factor surrounding gen-AI and the genuine enough interest in how it can change workplace workflows – organisations’ underlying stacks are still diverse, rapidly evolving and far from perfect for addressing today’s infrastructure and governance challenges.
When it comes to enterprise attitudes on AI, corporate boards are all-in i.e. Domino says that many enterprises have a “blank cheque” waiting from the board for all types of AI.
Workhorse for workflows
The company says that while gen-AI gets all the attention, slightly more companies are getting predictive AI into production, indicating that traditional machine learning is still the workhorse.
However, the distinction between these types of projects is blurring.
Some 41% of leaders surveyed say that they have projects that use both predictive and generative AI in production.
The company’s survey also found that enterprises are still early in their AI journeys. Over half of respondents are still in the planning, researching, or proof of concept stage when it comes to gen-AI and 47% have not yet put predictive AI projects into production even though these technologies have been available for decades — an indication that companies still struggle to move from experimentation phases to productising all types of AI.
“More than 90% of enterprises plan to make some infrastructure adjustments to account for their gen-AI journey, most commonly using updated versions of their pre-gen-AI stacks. Everyone needs to upgrade AI governance: 95% of firms face a governance remodel or reboot to update their frameworks and processes for today’s modern model landscape,” cites Domino Data Lab, in a press statement detailing its recent market study.
If companies are indeed amidst a rapid AI deployment spree, then Domino says this comes with the need for robust governance frameworks and scalable infrastructure to support these advanced technologies. Its study found that almost all companies face a governance remodel or reboot to update their frameworks and processes for today’s modern model landscape.
Reassuringly, most companies say they have a baseline of necessary responsible AI infrastructure and processes in place. They believe that they can incorporate more data sources and more data into the AI equation.
