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Analyst Blog
January 21, 2026

Agentic Automation Doesn’t Fail at Reasoning. It Fails at Inputs.

Data to Decisions
Most enterprise AI failures aren’t caused by bad models. They’re caused by teams trying to scale automation on top of search-era infrastructure. This article is about what breaks after the demo and what you have to build differently.
Michael Ni
Analyst Blog
January 21, 2026

Constellation Research's AI-First Service Firms

Future of Work
Legacy organizations caught between two S-curves must quickly decide whether to start from scratch and migrate, or to modernize their technical debt within their existing organizational structures. Organizations embracing an AI-first approach will make the key architectural shift needed to gain an attacker’s advantage.
R "Ray" Wang
Analyst Blog
November 20, 2023

News Analysis: Sam Altman's Steve Job's Moment And Satya Nadella Just Saved His Microsoft Stock Price

Data to Decisions
Sam Altman just faced his Steve Jobs moment when the OpenAI board fired him on Friday. The balance between too much governance and not enough innovation was the challenge OpenAI faced. This was a very immature board with members who had never built companies, never moved from ideology to commercialization, nor had any pragmatic board experience.
R "Ray" Wang
Analyst Blog
November 17, 2023

Microsoft Ignite 2023: Three big AI takeaways

Data to Decisions
At Microsoft's Ignite 2023 conference the company fleshed out its generative AI offerings and strategy and, in some places, put some serious distance between it and the competition.
Andy Thurai
Analyst Blog
November 05, 2023

Ignorance of AI is no excuse

New C-Suite
Is AI going to collide with privacy law? Technology neutral privacy law doesnt care how personal data comes to be held by a computer or a business. Those running network machine learning systems may be deemed to have lt;igt;collectedlt;/igt; inferred personal data and if so, must comply with privacy laws.
Steve Wilson
Analyst Blog
October 03, 2023

Research Summary: The Urgent Case For A Chief AI Officer (CAIO)

New C-Suite
lt;span style=quot;font-size:11ptquot;gt;lt;span style=quot;font-family:quot;Verdanaquot;,sans-serifquot;gt;\With artificial intelligence (AI) projects all the rage, organizations must make a strategic determination to create a new CxO role at least at a functional level if not at a title level.. This decision should not be made lightly, however. Although the chief AI officer (CAIO) role is critical to an organization’s success, the level of collaboration across business, IT, finance and operations, HR, and legal risk and compliance requires an unprecedented level of cooperation and orchestration. Boards will also want to consider AI at the same level as CyberSecurity.lt;/spangt;lt;/spangt;
R "Ray" Wang
Andy Thurai