Data.
Not opinion.

AI, Data Science, and Machine Learning Market Study 2025

Artificial intelligence (AI), data science (DS), and machine learning (ML) are shifting from experimental to strategic enablers. Most organizations report AI is playing either a direct or supporting role in their business, with investment driven by the need to solve inefficiencies, experiment, and prepare for disruption. At the same time, AI governance remains inconsistent, with approaches ranging from centralized oversight to ad hoc or absent controls, reflecting an uneven path to maturity.

Despite modest current deployment, momentum is building. Larger organizations are sustaining long-term AI use, correlating with experimentation in generative and agentic approaches. Features such as outlier detection and model explainability remain essential, underscoring the need for transparency and trust. Overall, organizations are cautious but optimistic, advancing at different speeds toward more mature and pervasive use of AI, DS, and ML to drive business value. 

2025-09-04

ModelOps Market Study 2025

As organizations expand their use of AI, data science, and machine learning, ModelOps has become a critical discipline for managing models at scale.

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.

2025-09-04

Agentic AI Report 2025

Agentic AI solutions deliver measurable business outcomes by wrapping a clearly defined business process, large language models (LLMs), and access to relevant data. Together, these components enable intelligence task execution – automating actions, making decisions, and adapting in real time with minimal human intervention.  

The inaugural Dresner Agentic AI Report examines organizations attitudes and uses covering its relative importance among other key technologies and initiatives, priorities, training and development, obstacles, and data sources.

2025-08-19

Navigate Unprecedented External Forces by Resisting Uncertainty

External forces are causing organizations to confront their relationship with uncertainty. There are only two choices: accept uncertainty or resist it. Accepting uncertainty can paralyze an organization into inaction. Resisting it means creating a plan to combat uncertainty by prioritizing what is important and launching pilots to explore new modes of operating and competing. Failure to recognize when a business model strategy or tried-and-true tactics are losing effectiveness and instead relying on incremental solutions can prolong the uncertainty. Some organizations take the difficult but often rewarding approach of eliminating or modifying key components of their existing business model to better manage risk and identify new opportunities.

2025-08-28

Successful Data Leaders Build a Metadata Foundation Based on Data Catalog

As the complexity and pace of change in the data and analytics landscape accelerate, several key capabilities have become increasingly critical to the success of data leaders and the ability of their organizations to derive value from business intelligence (BI). One of the most integral—metadata management, and specifically data catalog capabilities—is foundational to BI success. Lack of comprehensive metadata capabilities, including a well-defined data catalog, as a key element of active data architecture (and analytic data infrastructure in general) increases cost and complexity and will hinder opportunities to create value through and benefits from BI.

2025-07-25

Data Leader and Vendor Priority Mismatches Challenge Active Data Architecture® Adoption

Active Data Architecture® (ADA) continues to garner attention from data leaders and their teams seeking to make a step change in their approach to enabling more strategic business intelligence (BI) and artificial intelligence (AI) use cases that involve extreme data volumes, highly complex data, and constant change. Technology vendors likewise see great value in ADA principles, and many are investing heavily in capabilities to enable the vision. But mismatches between vendor and user priorities for overall investment and specific functionality will make it challenging for data leaders to derive value.

2025-07-30

Vena vs. Workday EPM

This special report examines the offerings and positioning of two major players in the EPM market: Vena Solutions (Vena) and Workday Adaptive Planning (Workday) and compares them on key aspects such as usability, integration capabilities, performance, scalability, and support. The goal is to provide a clear understanding of how each platform meets the needs of modern enterprises and supports their overall performance management initiatives.

2025-01-01

Anaplan vs. Pigment EPM

This special report examines the offerings and positioning of two major players in the EPM market: Anaplan and Pigment and compares them on key aspects such as usability, integration capabilities, performance, scalability, and support. The goal is to provide a clear understanding of how each platform meets the needs of modern enterprises and supports their overall performance management initiatives.

2025-01-01