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New research shows that two-thirds of respondents are quantifying their generative AI ROI, finding that for every $1 million spent, they are seeing $1.41 million in returns through cost savings and increased revenue
\n98% of business and IT leaders plan to invest more in their AI initiatives in 2025, but 58% claim that making their data AI-ready remains a challenge
\nSnowflake, the AI Data Cloud company, in collaboration with Enterprise Strategy Group, today released the \u201cRadical ROI of Generative AI,\u201d which found that 92% of respondents reported that their AI investments are already generating ROI, with 98% planning to invest even more on their AI initiatives in 2025.
\nThe research surveyed 1,900 business and IT leaders across nine different countries, including the UK, France and Germany \u2014 all of whom are actively using generative AI for one or more use cases.
\nJust two-and-a-half years since generative AI began dominating every tech conversation, early adopters of AI are realizing success with both internal and external use cases. Over half (55%) of respondents prioritized employee-facing solutions to improve productivity and efficiency, while 44% started with customer-facing solutions to elevate customer experience and satisfaction.
\n\u201cI\u2019ve spent almost two decades of my career developing AI, and we\u2019ve finally reached the tipping point where AI is creating real, tangible value for enterprises across the globe,\u201d said Baris Gultekin, Head of AI, Snowflake. \u201cWith over 4,000 customers using Snowflake for AI and ML on a weekly basis, I routinely witness the outsized impact these tools have in driving greater efficiency and productivity for teams and democratizing data insights across entire organizations.\u201d
\nMohamed Zouari, General Manager for the Middle East, Africa, and Turkey at Snowflake, said: \u201cWith the UAE set to gain $96 billion from AI by 2030 and Saudi Arabia launching a $100 billion AI initiative, AI is fast becoming the blueprint for business growth in the Middle East. But without a data strategy, there is no AI strategy. Regional businesses face real challenges\u2014from fragmented data infrastructure gaps to talent shortages. At Snowflake, we\u2019re helping organizations lay the secure and scalable data foundations they need to truly capitalize on AI\u2019s potential.\u201d
\nDriving Success Through AI Investments
\nThe report reveals that early AI investments are proving to be successful for the majority of enterprises, with 93% indicating that their generative AI initiatives have been very or mostly successful. Respondents\u2019 AI initiatives resulted in measurable improvements across efficiency (88%), customer experience (84%), and accelerated innovation (84%). In fact, two-thirds of respondents are already starting to quantify their generative AI ROI today, finding that for every $1 million spent, they are seeing $1.41 million in returns through cost savings and increased revenue.
\nAs global organizations advance along their AI journeys, respondents are allocating additional resources to their AI initiatives, citing data (81%), large language models (78%), supporting software (83%), infrastructure (82%), and talent (76%). This strategic focus underscores a fundamental shift in what businesses prioritize to operate and compete in the future.
\nOvercoming Data Barriers to Maximize AI Effectiveness
\nUnlocking AI\u2019s true potential requires a robust data foundation. Organizations are increasingly incorporating their proprietary data to maximize AI\u2019s effectiveness, with 80% of respondents choosing to fine-tune models with their own data. Despite this, many respondents are facing significant challenges in making this data AI-ready, citing the following as the biggest hurdles for driving AI success:
\nHigher than expected costs: 96% of early adopters report that one or more components of their gen AI solutions have cost more to date than was initially anticipated, and 78% say that half or more of their gen AI use cases have cost more than expected to get into production.
\nBreaking down data silos: 64% of early adopters say integrating data across sources is challenging today.
\nOrganizing unstructured data: The vast majority of data is unstructured \u2014 80%\u201390% by many estimates. However, only 11% of the early adopters say that more than half their unstructured data is ready to be used in LLM training and tuning.
\nIntegrating governance guardrails: 59% say enforcing data governance is difficult.
\nMeasuring and monitoring data quality: 59% say measuring and monitoring data quality is difficult.
\nIntegrating data prep: 58% say making data AI-ready is a challenge.
\nEfficiently scaling storage and compute: 54% say it\u2019s difficult to meet storage capacity and computing power requirements.
\nMethodology
\nResearchers from Enterprise Strategy Group identified, and conducted deeper research between Nov. 21, 2024, to Jan. 10, 2025, with early adopter organizations \u2014 those already augmenting and executing business processes in production, using commercial and open-source models rather than consumer-grade, subscription software such as ChatGPT. Of 3,324 respondents, 1,900 (57%) said they are using commercial or open source generative\u00a0AI\u00a0solutions.<\/p>\n","protected":false},"excerpt":{"rendered":"
New research shows that two-thirds of respondents are quantifying their generative AI ROI, finding that for every $1 million spent, they are seeing $1.41 million in returns through cost savings and increased revenue 98% of business and IT leaders plan to invest more in their AI initiatives in 2025, but 58% claim that making their<\/p>\n","protected":false},"author":10,"featured_media":7310,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":{"0":"post-7312","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-english-news"},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/posts\/7312","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/investn24.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7312"}],"version-history":[{"count":1,"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/posts\/7312\/revisions"}],"predecessor-version":[{"id":7313,"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/posts\/7312\/revisions\/7313"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/investn24.com\/index.php?rest_route=\/wp\/v2\/media\/7310"}],"wp:attachment":[{"href":"https:\/\/investn24.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/investn24.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7312"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/investn24.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}