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A brand new survey of knowledge leaders by Informatica factors to knowledge high quality because the primary impediment to implementing generative AI. The variety of knowledge administration instruments that corporations are utilizing, in addition to the truth that a big fraction of corporations are juggling greater than 1,000 separate knowledge sources, are also weighing on GenAI initiatives.
In keeping with Informatica’s CDO Insights 2024 report, which relies on a survey of 600 knowledge leaders at giant corporations all over the world, 45% of corporations have already applied GenAI in some kind, whereas one other 53% plan to implement it (with 36% saying they may achieve this inside two years). That leaves simply 2% of companies saying GenAI isn’t for them–a remarkably low quantity for a know-how that most individuals didn’t know existed 14 months in the past.
Nonetheless, having success with GenAI isn’t as simple as signing up for an OpenAI account and letting the GPT rip. Whereas as we speak’s pre-trained giant language fashions (LLMs) are a lot simpler to work with than pure language processing (NLP) tech of the previous, having good knowledge remains to be crucial to creating all of it work, whether or not one is coaching a mannequin from scratch, fine-tuning a pre-built mannequin, or prompting an LLM at runtime. Unhealthy knowledge will torpedo a GenAI mission simply as successfully as it should sink any sort of AI or ML mission.

Supply: Informatica’s CDO Insights 2024 report
To that finish, Informatica’s survey discovered that 42% of knowledge leaders who’re at present deploying GenAI or planning to (or about 588 of the 600 people who took the survey) cited knowledge high quality because the primary concern to GenAI success. Knowledge high quality was adopted by knowledge privateness and safety, AI ethics, amount of knowledge for coaching and fine-tuning language fashions, and AI governance as different GenAI considerations, in keeping with the report, which was launched final week.
These knowledge administration staples are being consumed at a excessive price amongst Informatica’s survey base. Certainly, the Redwood Metropolis, California firm reviews {that a} full 100% of survey members say they’re investing in knowledge administration capabilities to help their knowledge methods and priorities–a superb signal if there ever was one.

Supply: Informatica’s CDO Insights 2024 report
Nonetheless, there was a silver lining to that 100% determine for Informatica, which sells a set of knowledge administration instruments that span knowledge integration and ETL, knowledge high quality, knowledge catalog, knowledge governance, grasp knowledge administration, knowledge observability, and API and software. The corporate discovered that 58% of survey-takers have been utilizing 5 or extra instruments for his or her knowledge administration work. What’s extra, the majority of those knowledge administration instruments weren’t accessible as cloud-hosted companies amongst 49% of the survey-takers (Informatica, in fact, sells a unified suite of knowledge administration instruments beneath the Intelligence Knowledge Administration Cloud banner.
Extra knowledge usually equals extra perception and a greater sign. However in keeping with Informatica, two out of 5 companies say they’re coping with 1,000 or extra knowledge sources. Almost 80% of these surveyed say they count on the variety of knowledge sources to extend in 2024.
It’s not stunning that 39% of knowledge leaders report enhancing the reliability and consistency of knowledge for GenaI use circumstances as priorities in 2024. One other 39% cited having a data-driven tradition and better knowledge literacy as targets for 2024, adopted by enhancing governance over knowledge and knowledge processes with 38%.
That knowledge administration has emerged as a key enabling issue for GenAI doesn’t shock Jitesh Ghai, Informatica’s chief product officer.
“Unsurprisingly, generative AI implementation and the info methods wanted to take action efficiently proceed to dominate bandwidth for many knowledge leaders, no matter area or vertical,” Ghai says in a press launch. “Whereas there stays a myriad of technical and organizational hurdles that these leaders should navigate, it’s clear investments in holistic, extremely built-in knowledge administration capabilities are the important thing to unlock the huge potential of GenAI and empower enterprises to take full management of their ever-expanding knowledge estates.”
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New Knowledge Unveils Realities of Generative AI Adoption within the Enterprise