According to the report, the exceptional ROI of the generative AI, prepared by Snowflake and Enterprise Strategy Group, the 92% of respondents To participate in its creation that actively uses AI in a minimum case of use is amortizing its investments. Also that 98% plan to increase their investment in AI this year.
93% of companies, meanwhile, qualify their IA -related initiatives as very or most successful, which leads to ensuring that most companies are reaping the benefits of their first investments in this technology. In addition, two thirds of respondents are already measuring the ROI of their generative initiatives and, according to their results, for each dollar invested, $ 1.41 is generated in return, which implies a ROI of 41%, achieved through cost savings and increase in income.
However, despite the success that the respondents declare with their. IA initiatives Until now, many organizations face complex decisions for the maintenance of the impulse. Within this framework, respondents find difficulties in identifying cases of use of more impact, in addition to increasing pressure to make the right decisions, in a context of limited resources.
71% of the pioneers in AI agree that they have more potential use cases than can be financed, and 54% recognize that it is difficult to choose the appropriate ones based on objective criteria such as cost, impact on the business and capacity for the execution of the company. Another 71% admits that choosing the wrong ones could harm their company’s market position, and 59% fear that defending incorrect use cases can endanger their job.
To maximize the effectiveness of AI, companies are increasingly resorting to their own data, and 80% of respondents decide to adjust the models with them. Despite this recognition of the importance of the data, 71% recognize that the effective training and adjustment of the models need several the terabytes of data. They also recognize that there are important challenges for the preparation of this data for AI.
64% of the pioneers in AI consider that the integration of data from different sources in a current challenge, and 59% consider it difficult to apply data governance. It is the same percentage of respondents that indicate the difficulty of measuring and monitoring data quality. Meanwhile, 58% indicate that preparing data for AI is a challenge, and another 54% underlines that it is difficult to meet the storage capacity and computing power requirements.
Baris Gultekin, responsible de ia de Snowflakeemphasizes that «Finally we have reached the turning point in which AI is providing real and tangible value for companies around the world. With more than 4,000 customers who use snowflake for AI and automatic learning (ML) weekly, I constantly see the enormous impact that these tools have on impulse of greater efficiency and productivity for equipment, and in the democratization of information based on data in all organizations«.
José María Alonso, Country Manager of Snowflake for Spain and Portugalhe points out that ««The generative AI is advancing at a dizzying pace and our latest study shows that pioneer companies in the adoption of AI are obtaining a significant competitive advantage. In Snowflake, we are helping many Spanish companies to make the leap to the AI and to make the most of their data«.
