It has been almost two years since generative AI (GenAI) emerged with force onto the technology landscape, and two things are now clear. First, GenAI will significantly impact and transform every industry—it is just a matter of time. Second, we are still in the early stages of adoption and there are significant challenges to harnessing the power of GenAI during this transition. While there is clearly an abundance of hype, it is also clear that this truly will drive dramatic change, presenting opportunities and risks for every enterprise. In many ways, it is similar to the late 1990s when the internet was young and there was much weeding out and growing needed. This 2024 State of the GenAI Market report will guide you and your enterprise on the key themes and developments that are shaping the landscape, highlighting both the successes and the obstacles for successfully navigating this crucial new technology.
One of the most notable trends in the GenAI market is the increasing sophistication and accessibility of GenAI models. While advancements in deep learning algorithms and computational resources have enabled these models to better understand and generate complex content across various domains, the reality is that leveraging these capabilities effectively is far from straightforward.
From natural language processing and image synthesis to automated code generation, enterprises face challenges in integrating GenAI solutions into their existing workflows, ensuring data quality and managing the costs associated with these technologies.
To help address the cost issue, more than half of the software providers evaluated in our GenAI Buyers Guide have implemented some form of cost control and most have informed us of further plans in this area.
The rapid adoption of GenAI also brings other new challenges to the forefront. It is proving very difficult for enterprises to hire or develop the AI skills they need among their teams. Concerns such as data privacy, algorithmic fairness and the potential for misuse have become more prominent, prompting the need for robust governance frameworks and explicit ethical guidelines. Many enterprises find themselves ill-equipped to navigate these complexities, risking unintended consequences and negative impacts. By acknowledging and addressing these challenges, enterprises can make more informed decisions and drive meaningful progress in an evolving landscape.
Bring your questions to the table as you sit down with this report. What’s actually happening out there with GenAI — beyond the hype? What types of use cases are having an impact? Should we build or buy? What key risk is in our blind spot? And if everyone keeps pace with adoption anyway, is it even possible to achieve differentiation?
This report is designed to be a key resource as you navigate your AI planning and evaluation over the next six months.
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