Generative and Agentic AI Fuel a Wave of Interest, as Artificial Intelligence, Data Science, and Machine Learning Shift from Experimental to Strategic Enablers
NASHUA, N.H., Sept. 4, 2025 /PRNewswire/ — A large majority of survey respondents say artificial intelligence (AI) is taking a direct strategic or supporting role, sometimes driving the business, according to the 2025 AI, Data Science, and Machine Learning Market Study, part of the Dresner Advisory Wisdom of Crowds® series of research.
AI, data science (DS), and machine learning (ML) include statistics, modeling, machine learning, neural networks, and data mining to analyze facts to make predictions about future or otherwise unknown events. The 12th edition study reflects the growing significance of AI, DS, and ML, as organizations seek to enhance operations, improve forecasting, and drive innovation.
The Dresner study shows current deployment of AI, DS, and ML is modest but broad, with predictions of strong future uptake. The most important use cases include demand forecasting, customer segmentation, and predictive maintenance.
“Most organizations report that AI has a direct or supporting role in their business, with investment largely driven by the need to solve inefficiencies, experiment, and prepare for disruption,” said Howard Dresner, founder and chief research officer at Dresner Advisory. “Momentum is building, and overall organizations are cautious but optimistic, advancing at various speeds toward more mature and pervasive use of AI, DS, and ML to drive business value.”
Dresner Advisory published a companion market study on ModelOps, the set of practices, processes, and technologies used to manage and operationalize machine learning models throughout their life cycle. ModelOps includes but is not limited to Machine Learning and Artificial Intelligence models including Large Language models (LLM) and less-complex analytical and decision-intelligence models.
The 4th annual ModelOps Market Study examines the management and governance of AI and machine learning models, and the operational priorities for maximizing the value of these technologies. ModelOps is essential for ensuring the efficiency and effectiveness of AI, data science, and agentic and generative AI initiatives, providing the framework for managing model life cycles, scalability, and performance.
“We see continued growth in the number and variety of models in production, but also persistent challenges with visibility, oversight, and ownership,” continued Howard Dresner. “The growing influence of agentic AI underscores the urgency of robust ModelOps practices, extending their importance beyond AI and machine learning to all analytical models. As adoption deepens, ModelOps will be central to ensuring adaptability, accountability, and value from models in production.”
Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Users in all roles and throughout all industries contributed to provide a complete view of realities, plans, and perceptions of the market. For more information visit www.dresneradvisory.com.
About Dresner Advisory Services
Dresner Advisory Services was formed by Howard Dresner, an independent analyst, author, lecturer, and business adviser. Dresner Advisory Services, LLC focuses on creating and sharing thought leadership for AI, Analytical Data infrastructure, Analytics and Business Intelligence (BI), Performance Management, ERP, and related areas.
Contact:
Danielle Guinebertiere
Dresner Advisory Services
978-254-5587
[email protected]
View original content to download multimedia:https://www.prnewswire.com/news-releases/dresner-advisory-publishes-2025-ai-data-science-machine-learning-and-modelops-research-302546123.html
SOURCE Dresner Advisory Services
