Past-event: Catch up by watching it on demand or by downloading the material below.
Welcome to a series of events where Cognizant explores the systematic shift through the lens of technology. First, we look at AI as a new, dynamic enabler.
WATCH THE ON-DEMAND WEBINAR AND SEE THE 2-MINUTE HIGHLIGHTS VIDEO > >
As a global company, with experience from a multitude of enterprise projects across the world, Cognizant is operating at the very forefront of technology. Now we’d like to use that platform to approach the ongoing challenges and explore how AI, innovation, efficiency and collaboration can enable the necessary shift.
In a series of four events – AI for Good, Innovation for Good, Efficiency for Good, and Together for Good – we’re inviting technology and business experts that will help us understand more, inspire through good examples, and encourage us all to act, now.
CEO & founder
Entrepreneur Maja Brisvall has founded several start-ups in San Francisco, London and Stockholm. Fomerly an advisor to the Swedish Government Committee for Digitization, Maja has spent the past years developing thought leadership in the cross section between science in resilience thinking, urban planning, architecture and towards leading technologies in exponential thinking, IoT and AI.Close
Chief Digital Officer
Per Edoff has 20 years’ experience of management positions across various Energy/Utility companies. He is also Chairman at the IoT company Tingcore. His Fortum CDO position includes formulating a digital strategy and incorporating it into the business strategy, introducing new digital business opportunities/models, and identifying opportunities for cost savings/efficiency/margin improvements.Close
Design Lead - Cognizant
Allan has a long experience with optimizing both B2B and B2C E-commerce sites, focusing on being customer centric and at the same time focus on business needs and goals.Allan has been a key player in forming the customer experience strategy for one of the biggest retailers in the Nordic. With focus on transforming it from a traditional brick and mortar retailer to an omni-channel retailer, that uses new technologies to create great customer experiences and to archive commercial goals.
SVP, Innovation and Technology and CTO, Husqvarna Group
Adj. Professor, KTH Royal Institute of Technology
Born 1969. MSc. Chemical Engineering, Chalmers University of Technology and and MBA, Gothenburg School of Business, Economics and Law, Gothenburg, Sweden.
Part time role as adjunct professor in industrial product development, KTH, Royal Institute of Technology, Stockholm, Sweden since 2015. Board member of Etac Group.
2000-2006, 2008-2015. Partner and Global Practice Leader Technology and Innovation Management, Arthur D. Little
2008. Director Strategic Product and Technology Planning, Gambro
2006-2007. Director Business office and head of Business Consulting, VOLVO IT
1996-2000. Several positions within Nobel Biocare
Dr. Ather Gattami grew up in Lund, Sweden. He holds Master of Science degrees in both Engineering Physics and Mathematics from Lund University. He was mentioned as the first "Gemstone Student" and graduated as the youngest and fastest engineering student in Sweden, which was awarded the prestigious prize of "Extra Ordinary Achievements" at Lund University. He did his Master's at Caltech in 2003. Dr. Gattami pursued his PhD studies at Lund University, and he graduated as the fastest and youngest PhD in engineering in 2007. He worked at MIT as a research associate in 2008 and joined KTH during 2009-2012 as an assistant professor. Dr. Gattami served as a Senior Researcher at Ericsson Research from 2012-2015 where he was leading the Emerging Technologies team for the 5th generation (5G) communication system. He holds over 20 international patents. He is currently a senior AI expert at RISE (Research Institutes of Sweden) AI. His research interests are within the mathematical foundations of Machine Learning in general and Deep Learning in particular, Reinforcement Learning, learning in dynamical systems and games, and low rank matrix approximation and completion problems, with applications to recommender systems, anomaly detection, predictive maintenance, and Natural Language.Close
08:00 Registration & Breakfast
08:30 Presentations from experts:
09:15 Panel discussion
09:30 Event ends