Tieto Tech Consulting
How data and AI can reduce environmental impact, lower costs, improve safety and create better customer experiences

Hear how two organizations are using data and AI to improve operational efficiency, strengthen safety, reduce costs and support more sustainable outcomes. We’ll also explore why trusted data and enterprise context are becoming strategic differentiators—and how increasing AI autonomy is changing the demands on data governance.
Date: December 1
Time: 17:00–19:00. A light meal will be served from 16:30.
Location: Tieto’s Solna office, Gustav III Boulevard 130, Solna
Agenda
16:30 | Welcome and light meal
17:00 | Program begins
Case: Turning real-time transport data into operational intelligence
How can transport operators and public authorities share data securely while retaining ownership and control of their information? Drawing on practical examples from public transport, Lennart Hedlund, Senior Enterprise Architect at Tieto, will show how real-time data can improve safety, operational efficiency and passenger experience—and support the next generation of intelligent mobility services across Europe.
Case: How Akademiska Hus uses AI to optimize space and reduce costs and environmental impact
Akademiska Hus is Sweden’s largest landlord of facilities for universities and colleges. Its vision is to help tenants make better use of space, reduce costs and environmental impact, and limit the need for new construction. Magnus Hjelmfeldt, Director of AI at Tieto Tech Consulting Sweden, will explain how sensors, contextualized data and AI analysis can turn that ambition into practical decision-making tools.
Break
The AI Era: Data’s Comeback
As AI moves from generating insights to taking autonomous action, the consequences of poor data can multiply. Vanessa Eriksson will explore why enterprise context and trusted data are becoming strategic differentiators, how AI autonomy is changing the demands on data governance, and how data professionals can help shape business strategy and the future of AI. Drawing on executive experience across telecom, fintech and automotive, she’ll discuss the growing importance of data quality, governance, ownership and business context.
19:00 | After-work
Stay and connect with the speakers and fellow attendees. Drinks and refreshments will be served.
About the speakers
Lennart Hedlund is Senior Enterprise Architect at Tieto, specializing in real‑time, event‑driven data platforms built on cloud‑native architectures. With more than 25 years of experience across public transport, banking, finance, manufacturing, and retail, he has led major modernization initiatives — including the transformation of H&M’s global product data and PLM landscape. Lennart is a frequent speaker on event‑driven architecture, real‑time intelligence, and modern data lifecycles, bridging deep technical engineering with practical operational impact. He is also active as a moderator and coach in community and enterprise architecture forums.
Magnus Hjelmfeldt is Director of AI and responsible for strategic AI development at Tieto Tech Consulting Sweden. With extensive experience in data, machine learning and AI, he combines deep technical expertise with a strong business focus. He helps clients adopt data-driven approaches and apply AI to create measurable value. For more than five years, he has contributed to Akademiska Hus’s vision of helping tenants optimize their use of real estate through data-driven decisions.
Vanessa Eriksson is an international tech executive, entrepreneur and strategic advisor with more than 25 years of experience in data, AI, digital transformation and governance. She has held senior executive positions at Telia, Nets Group and Zenseact (Volvo Cars), leading enterprise-wide data and digital strategies. She is the Founder and CEO of LadyBug E, which advances executive leadership in the AI era, and Founder and Chair of Girls at Tech Nordics. An international keynote speaker and advisor, Vanessa is passionate about responsible AI, unlocking business value from data and shaping the next generation of technology leaders.