Meet the Management Team
We are firm believers in Agile — both as a philosophy and as a methodology we actively practice. We also believe that Agile alone is not enough. When combined with Enterprise Architecture, it becomes significantly more powerful, delivering better outcomes with greater predictability.
We have applied this combined approach extensively to Big Data & Analytics initiatives, and have developed effective ways to make it work within bi-modal organizations — maintaining the right governance without sacrificing the speed and adaptability that Agile promises.
And we have taken this one step further: we now deliver 100% of implementation directly from architecture and specifications, leveraging Large Language Models (LLMs) to close the gap between design and execution entirely.
Richard Langlois, president
Richard has delivered speaking engagements and has been featured in interviews and press releases by organizations including Tableau, AtScale, Wayne Eckerson, Yahoo Finance, and others. Speaking Engagements & Press Coverage
Richard led the teams that won a Data Impact Award at Strata & Hadoop World NYC (Fall 2016) and an Octas Award (2015) while at Yellow Pages.
Recommended Reading
Richard's perspective has been shaped by a carefully curated set of books at the intersection of technology, strategy, and innovation:
- The Lean Startup — Eric Ries
- Machine, Platform, Crowd: Harnessing Our Digital Future — McAfee & Brynjolfsson
- Architects of Intelligence — Martin Ford
- The Book of Why — Judea Pearl
- This Is How They Tell Me the World Ends — Nicole Perlroth
- Smart Brevity — Axios founders
Eugenie Artus, Enterprise Architect
Interesting books to read:
- Preventing Litigation - An Early Warning System to Get Big Value out of Big Data
- Breakout Strategy
- Introduction to Business Architecture by Christophe Reynolds
Our Story
IT Architecture & Strategy was founded to address a persistent gap observed across organizations: Enterprise Architecture (EA) was not delivering on its promise. Roadmaps were narrow in scope, covering only application aspects while largely ignoring data, business processes, services, AI, BI, integration, security, and infrastructure.
We also observed that organizations invested significant effort maintaining EA artifacts yet struggled to produce tangible, timely results for the business.
To learn more about our EA framework and philosophy, please visit ITA&S-F.
Our technical roots run deep. In 2006, we were designing Very Large Databases (VLDB) before the term "Big Data" was coined, and implementing Massively Parallel Processing (MPP) before Hadoop existed. In 2011, we immersed ourselves in Digital Analytics and Big Data with Hadoop. We were architecting real-time LakeHouse solutions three years before Databricks formally introduced the term. This trajectory naturally led us to build the GUM-RTDP Platform — enabling enterprises to move at the speed of their customers.
