- Marketing teams introduce Genai into daily work processes, despite the vague stability
- Artificial intelligence tools stimulate measurable personalization, predicting the accuracy and saving of time
- Reports about ROI from Genai, the implementation rises sharply in the global marketing industry
Marketing teams are increasingly deploying Genai technology as a practical tool, not a speculative experiment, although some messages suggest that Almost all Genai pilots failedField
According to the new study SAS and Coleman Parks, more than eight out of ten marketers around the world are actively used by Genai, and CMO and marketing groups report a clear profitability of 93% and 83%, respectively.
In the EMEA area, these figures are on average 85%, assuming that the cost of technology is recognized in different markets.
Expanding options for use outside traditional roles
As shown, how marketer use Genai quickly developed over the past year, since the chat bots and the generation of content remain the most common applications.
Nevertheless, the analysis of trends and the mapping of customers travel grow in confusion.
New use options, such as the deployment of synthetic data, the study of small language models and experimentation with digital twins, show that the teams test the boundaries of the technology.
Marketers report tangible benefits from Genai, including improved personalization for 94%of respondents, efficiency in the processing of large data sets for 91%and savings in operating time and 90%cost.
Profit in forecast accuracy, customer loyalty and sales are reported by almost nine out of ten respondents.
These numbers suggest Writers of AI And other tools of artificial intelligence contribute to measurable results.
In addition, investments in Genai are growing, and 93% of marketing teams amounted to a budget for technologies until 2026.
“Genei is no longer a future consideration, this is a modern imperative,” said Jenn Chase, CMO in SAS.
Teams introduce this technology into daily work processes and develop infrastructure for more autonomous marketing strategies.
However, the adoption of AI at work reveals an amazing gap between Skeptics fear risks, and realists cover the toolsField
Although enthusiasm is obvious, organizations will need to carefully monitor the ROI, ethical considerations and integration of several AI toolsField
This must ensure that these strategies remain effective and stable over time, since long -term stability has yet to be completely tested.
Despite the high numbers of integration, some caution is justified, since polls can exaggerate practical integration.
Nevertheless, it is also important to carefully interpret these results, since self -esteem of improvement cannot always lead to uniform performance in all marketing contexts.
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