Magazine 3 | Responsible Business
Data and AI in the Boardroom is an ORTEC magazine to support senior executives to cope with the challenges, opportunities and risks of data and artificial intelligence, enhancing decision-making to secure long-term, sustainable growth in today's fast-changing world.
Magazine No. 3 - Responsible Business
Over the past century, business have made huge improvements when it comes to optimal and cost-efficient planning, as well the organization of processes. However, efficient processes alone won’t solve the challenges of the current world. The puzzle is becoming a more difficult one to solve. Businesses will need to adopt new ways to thrive, and maybe even to survive.
We've asked leading figures in different sectors about how their organizations develop into more sustainable businesses, what goals they have set for themselves, what challenges they face underway, and how using data in innovative ways help them to make responsible decisions.
In this issue you’ll catch a glimpse of the approaches by leading figures at organizations like Schiphol Airport, PostNL and Eosta.
This issue's highlight
Making future airports as sustainable as possible, is what drives Richard Emmerink, Director of Strategy at Schiphol Airport. Even though the ultimate goal, hitting the Paris climate agreement by 2030, is very clear – getting there is easier said than done. As Emmerink sees it, four key elements go into successfully travelling the path to sustainable business.
What more you'll find in this issue
Rogier Havelaar of PostNL shares how they are accelerating their greening process to achieve the targets aligned with the Paris climate agreement. From nature inclusive constructions and electric vehicles to smarter collection, sorting, and distribution.
Volkert Engelsman of Eosta shares how their multinational company is prototyping the new normal of the foods and agriculture industries in terms of health, social inclusion, and environmental impact:
Gerrit Timmer of ORTEC explains why algorithms are not good or bad per se. “The problems start when algorithms are fed incorrect data and are used improperly, so making ‘algorithms’ in general into a target is an exercise in futility.”
and more....
