- Snowflake Research finds that 93% of British companies report Genai efficiency gains
- Many have also refined LLM for the best outing
- Data and confidentiality problems remain widespread, the Seperate Ey report reveals
Companies are now learning to seize AI and implement it efficiently, marking a passage from the experimental phase, with up to 93% of British companies now signaling generative AI efficiency gains (and 88% worldwide), new Snowflake research said.
In addition, 98% drugs also train, set or increase their LLM for better results, showing that companies know exactly where the technology is located and how to optimize it.
However, the usual obstacles and challenges remain in place, preventing certain organizations from accessing the advantages of promised productivity.
Companies in the United Kingdom are quite at most with AI
Snowflake found that almost two thirds (62%) of companies use AI in software engineering, with 69% of using it for code opinions and debugging it – two percentages higher than the global average.
AI technology is also popular in customer support (61%) and cybersecurity use cases (69%), where workers see faster response (59%), a reduced manual workload (64%) and lower costs (56%).
Separate EY reports reveal seven respondents in the UK in 10 have used AI in their daily life in the past six months, but the results are conflict with Snowflake’s results – only 44% used it in a professional setting, less than the world average of 67%.
Globally, EY says that workers use AI for writing or publishing content (31%), learning subjects (30%) and the generation of new ideas (27%).
“They are not only experienced – they are building with a goal,” said Snowflake vice -president and the country’s director and I Country James Hall about British companies.
“With intelligent investments in cloud infrastructure and the accent placed on usable use cases, the United Kingdom sets the foundations to direct the next AI generation processing phase.”
Research has also highlighted some of the challenges facing companies when adopting the AI on a large scale, with unstructured data with the largest obstacle according to Snowflake.
EY added that confidentiality and security are also in front of the spirit of British business leaders, with security violations (71%), privacy violations (65%) and the reliability of AI (67%) results were all mentioned as major concerns.
Looking at, the chief of the customer strategy EY UK & I AI, Catriona Campbell, says that companies must strengthen the confidence of workers and demonstrate the value of the AI.
“While AI continues to reshape our daily life, it is crucial for business leaders to promote confidence and transparency, which allows individuals to engage with AI in their own terms,” added Campbell.
