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One of many high causes that firms are modernizing their knowledge estates and transferring to a centralized cloud knowledge platform is to allow generative AI capabilities, Hakkoda says in its new research, titled “Generative AI State of Information Report.”
Hakkoda, which helps firms migrate knowledge to Snowflake and make the most of generative AI applied sciences, surveyed about 500 senior leaders in firms in eight industries for its report (obtainable right here). The survey outcomes point out that, whereas firms are already making massive investments in GenAI, there’s lots of work left to do for firms to achieve their final knowledge targets.
As an example, 42% of survey respondents mentioned they’re already utilizing GenAI instruments right now, and 29% mentioned they’ve already transitioned to a centralized knowledge platform. Nevertheless, 74% of the survey individuals indicated they’ll begin the migration to a cloud knowledge platform in 2024, whereas 85% mentioned they’re anticipating to undertake GenAI this yr.
The transfer to a centralized cloud knowledge platform akin to Snowflake, Databricks, or one of many cloud giants’ platforms, goes hand in hand with GenAI adoption, in keeping with Hakkoda’s survey.

Supply: Hakkoda “Generative AI State of Information Report”
“Amongst organizations who had already made the soar to a centralized cloud platform in 2023, 48% mentioned enabling Gen AI capabilities was a high motive for transitioning,” the corporate says in its report. GenAI was the quantity three motive behind attaining extra agility and adaptability (cited by 50% of those that have already made the transfer) and higher safety (49%).
“The information is obvious: modernization is occurring now, and the facility of Generative AI is a driving drive,” the corporate says in its report. “Organizations trying to sustain with the competitors and construct an environment friendly, sustainable knowledge stack know they’ll want the facility and comfort of Gen AI in 2024 and past.”
Hakkoda unearthed a few different attention-grabbing knowledge factors in its research. As an example, one would possibly suppose that enormous firms with deep pockets may be main the cost in GenAI. In actual fact, Hakkoda’s knowledge means that the highest GenAI performers are someplace within the center: Large enough to have the means to sufficiently put money into GenAI, however sufficiently small to nonetheless be agile.
“Organizations with lower than $500 million in income surprisingly reported increased utilization charges than a lot bigger firms, the corporate says. “Organizations with 10,000 to 24,999 workers signify the candy spot of AI deployment, outpacing bigger and smaller organizations alike with a 49% utilization charge. These organizations have been 33% extra prone to be deploying Gen AI than their bigger friends, main all organizations of any dimension in that capability.”
One other attention-grabbing tidbit: producers are main the way in which in GenAI deployments.
In keeping with Hakkoda’s report, 71% of producers surveyed indicated they’re utilizing or planning to make use of GenAI for knowledge cleansing, which was 20% increased than some other vertical, whereas 59% mentioned they’re utilizing or planning to make use of GenAI for cataloging, which was additionally tops amongst industries. Producers are also among the many leaders in utilizing GenAI for automation, with 56% of producers indicating they do that, in keeping with the research.
“Unsurprisingly, manufacturing organizations additionally reported the best confidence of their outlined and implementable Gen AI use instances, in addition to of their inner knowledge group’s skill to construct the Gen AI capabilities their org wanted,” Hakkoda says in its report.
Leisure and retail organizations led all industries when it got here to deploying Gen AI automation, the report says, and each industries have been among the many leaders when it got here to utilizing Gen AI for knowledge cleansing.

Supply: Hakkoda “Generative AI State of Information Report”
Schooling, authorities, and healthcare are laggards in relation to GenAI adoption. Leaders in these industries additionally expressed the bottom confidence that they’ve the expertise to deploy GenAI, the report mentioned.
On the finish of the day, the ebook has but to be written on GenAI, and there’s a lot that’s nonetheless in flux, Hakkoda concludes.
“Generative AI will be the time period on the tip of everybody’s tongue in 2024, however most organizations are removed from realizing its potential,” the corporate says. “Whereas early adopters are working to implement discrete instruments and even perhaps thrilling their investor boards with shiny new choices, the true winners of generative AI will probably be organizations that take a strategic strategy to implementation, investing in each the modernization and the long-term knowledge technique that may permit their enterprise to radically alter day-to-day operations.”
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