Companies are accelerating the implementation of generative AI pilots to reap the benefits of increased productivity, enhanced customer experiences and personalization, and better decision-making.
According to one in four firms, the use of Gen AI is essential for achieving higher levels of efficiency and production. Twenty-six percent believe that the ability of technology to enhance decision-making is the most important factor, while thirty percent think that enhancing customer experience and personalization is their top priority.
The results of the Generative AI Report from Dresner Advisory Services show how businesses are now tackling the task of assessing and using gen AI. The study’s global reach is derived from insights obtained through access to vendor-customer groups and Dresners’ research community, which comprises over 8,000 businesses.
Dresner Advisory founder and chief research officer Howard Dresner stated, “The generative AI phenomenon has captured the attention of the market—and the world—with both positive and negative connotations.” “A large majority of respondents indicate intentions to adopt generative AI early or in the future, even though its adoption is still in its infancy in the near term.”
Rocket fuel propels pilots into production as a top priority.
Creating business cases centered around new technology frequently falls short of tying quantifiable revenue increases to savings in terms of time, money, or efficiency. Gen AI is not plagued by the issue. The terabytes of data that a typical organization generates on a daily basis doesn’t negate its contributions during pilots.
Adoption is further accelerated by the fact that gen AI pilots are well-suited for creating business cases, as the Dresner report’s numerous findings suggest.
Enhancing efficiency and productivity—marketing and IT departments are slated to be among the first to implement—reflects the areas where generation AI has the biggest potential to have an immediate, quantifiable impact. Pilots are being put into production as a result of marketing-centric initiatives including search quality, customization, and customer experience improvement. Twenty-six percent of firms claim that the main reason they are prioritizing gen AI is better decision-making.
When deploying Gen AI, organizations’ top worries are dominated by data privacy. When deciding whether to use Gen AI, nearly half of enterprises view data privacy as a crucial consideration. Concerns about ethics and bias, the possibility of unforeseen repercussions, and legal and regulatory compliance are also important. Few respondents—46% and 43%, respectively—think that organizational policy and expenses are significant factors in the deployment of generative AI. The concerns over data privacy are heightened by weaponized LLMs and chatbot attacks. In response, many businesses are deploying general artificial intelligence (gen AI) to thwart chatbot leaks.
The sectors most aggressively seeking the productivity benefits of Gen AI. The sectors that have the most potential for using Gen AI are healthcare, manufacturing, and education; these sectors should take the lead in adopting the technology first. Organizations across all industries are paying closer attention to large language models (LLMs) because of how well they are performing text-intensive jobs and because their ongoing advancements indicate even greater accuracy and speed gains.
Generic artificial intelligence (Gen AI) has promise for enhancing customized healthcare, resolving numerous complex manufacturing issues, and delivering tailored learning opportunities on a large scale.
According to Dresner’s research, the government sector is exhibiting the greatest degree of caution, with 33% of respondents choosing to wait and see. The study team at Dresner observes industry reluctance to adopt new technology in general, as well as worries about implementation tactics and data privacy.
Businesses providing consumer services are the most advanced in using Gen AI in manufacturing. Nowadays, gen AI is being used in production by almost half (43%) of the consumer services companies surveyed. The following three industries with the highest production levels of generation AI are technology, business services, and healthcare. Government lags behind at 50% in terms of experimenting, while education tops all other industries. Healthcare is next in line. The government also reports the highest levels of no planned use and planned use longer than a year, according to the report.
With four out of the top five LLMs endorsed, OpenAI is leading the way in cross-industry support. Today, the top four LLMs supported by enterprises across industries are GPT4, GPT3, AutoGPT, and GPT2. With just over 10% of organizations already supporting it, Google’s BERT is ranked sixth. To maximize their investments with the LLM providers of their choice, enterprises need to precisely specify their criteria and use cases as more LLMs are offered. The research team at Dresner suggests that the LLM market will eventually become increasingly fragmented. In order to stand out in an increasingly saturated industry, LLM providers will begin concentrating on vertical and unique use cases.