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Andreas Lundmark
MD & Partner at Boston Consulting Group - helping blue chips drive Data & Analytics transformations at Scale
Andreas Lundmark is an accomplished MD & Partner at the Boston Consulting Group (BCG) and BCG X with a vast experience in the fields of AI, data science, and digital transformations.
As the Global Co-lead of AI at Scale and the Nordic Head of BCG GAMMA, Andreas has played a pivotal role in establishing AI and data science capabilities in the Nordics region.
Andreas specializes in helping blue-chip clients across industries such as retail, industrials, and telecommunications to leverage data and AI for driving value and executing efficient end-to-end transformations.
He leads cross-functional teams that collaborate closely with clients to develop and deploy AI solutions, focusing on scalability, value delivery, and building necessary enablers.
In his role, Andreas focuses on establishing value-focused Data & Analytics Ops, data governance, and operationalizing Responsible AI frameworks through tight collaboration with client teams.
With a strong educational background in Industrial Engineering & Management from institutions like Linköping University and Karlsruhe Institute of Technology, Andreas Lundmark brings a wealth of expertise to his role at BCG.
Throughout his career, Andreas has held various key positions, including MD & Partner at BCG X, Board Member at VALIDIO, and has been associated with organizations like dema.ai and VEQ.
His experience ranges from being Head of Nordics at BCG GAMMA to serving as a Project Leader, Consultant, and Associate at Boston Consulting Group.
In addition to his professional roles, Andreas has also been involved in coaching, advising, and investing in ventures such as VEQ and dema.ai.
Andreas Lundmark's career journey showcases a diverse skill set encompassing AI, data science, management, consulting, and strategic leadership, making him a prominent figure in the digital transformation space.
Highlights
Hear hear! ”Old AI” is often forgotten now when LLMs are all the rage. It is a pity since most organizations still have not come very far scaling and generating value with ML and predicive approaches.
Combining GenAi to generate content, scenarios and insights, agentic approaches for orchestration together with PredAI is super powerful - letting each do what it is good at in a workflow.
Insightful points from my colleague Arun
Building unconstrained agents in production is still really hard. So when we were building complex workflows for real businesses (like supply chain planning in industrial goods or clinical trials document writing in healthcare) we found open-ended agents underwhelming. But by adding constraints, we found we could get real outcomes, consistently.
We turned this into a repeatable asset to accelerate our client work. And now the world can have it.
It's a starter-kit for building GenAI agent applications built by my colleagues in BCG X!
