Title	KONE - MACHINE CONVERSATIONS
Brand	KONE OYJ
Product/Service	KONE ELEVATORS
Category	A04. Data Storytelling
Entrant	HASAN & PARTNERS Helsinki, FINLAND
Idea Creation	HASAN & PARTNERS Helsinki, FINLAND
Idea Creation 2	KONE Espoo, FINLAND
Media Placement	SPOON Helsinki, FINLAND
PR	THE WHITEOAKS CONSULTANCY Farnham, UNITED KINGDOM
PR 2	THE HONEY PARTNERSHIP London, UNITED KINGDOM
Production	HASAN & PARTNERS Helsinki, FINLAND
Production 2	COCOA MEDIAPRODUCTIONS Helsinki, FINLAND
Production 3	TRE FILM Helsinki, FINLAND
Production 4	INTO DIGITAL Helsinki, FINLAND

Name	Company	Position
Tobias Wacker	hasan & partners Oy	Creative Director
Timo Huopalainen	hasan & partners Oy	Senior Creative, Art Director
Rasmus Stoltzenberg	hasan & partners Oy	Copywriter
Vesa Markonsaari	hasan & partners Oy	Production AD
Mia Sirkiä	hasan & partners Oy	Head of BtoB
Ketsia Anttila	hasan & partners Oy	Account Manager
Anna Nurkse	hasan & partners Oy	Digital Officer
Dean Clatworthy	hasan & partners Oy	Lead Developer
Turo van Liere	hasan & partners Oy	UI/UX Designer
Luca Rossi	hasan & partners Oy	Web Designer
Anja Boxberg	KONE Oyj	Director, Maintenance Marketing Global Communications & Marketing
Max Alfthan	KONE Oyj	Executive Vice President, Marketing and Communication
Anna-Kaisa Ehnqvist	KONE Oyj	Marketing Communications Manager Global Marketing & Communications
Henri Laurikka	Cocoa Mediaproductions	CG Supervisor and Artist
Niko Kuurne	Cocoa Mediaproductions	Producer
Aleksi Koskinen	Tre Film Ab	Photographer
Mark Terry-Lush	The Honey Partnership LLP	Partner, managing director
Antti Rasi	Into Digital Oy	Managing Director
Antti Lassila	Into Digital Oy	Head Developer
Jarno Kontkanen	Into Digital Oy	Frontend Developer
Janne Ahvenlampi	Cocoa Mediaproductions	Motion Graphics
Markku Mäkelä	Cocoa Mediaproductions	Sound Design
Jonas Bohman	Cocoa Mediaproductions	Digital Artist
John Broy	Whiteoaks	Associate Director
Lena Barner-Rasmussen	Spoon	Agency Director

The Campaign

Talking about AI, IoT and Machine Learning would get us nowhere. So we asked a simple question: has anyone ever HEARD machines talking to each other — in real-time? We knew the new KONE service would be able to listen to vast amounts of real-time use data from up to a million elevators — each second. We devised a way to tap into the real-time data feed between KONE elevators and the IBM Watson IoT cloud and created intelligent, human-language discussions from these. Human-language equivalents were created for each elevator and environmental variable and Watson IoT action. Thus creating a language, tone-of-voice, and personality for our elevators & AI — and making it possible for them to have conversations that people could eavesdrop on. Nobody had ever translated machine-to-machine data into audible, intelligible and shareable conversations. Until now.

The users could follow, by hearing and reading, an elevator’s real-time status updates and the AI cloud’s responses to them, and jump from elevator to elevator — in essence, eavesdropping on multiple one-on-one machine-to-machine chat. In days, Machine Conversations became a pop-culture phenomenon with consumers, the media and the industry. We reached 755 million listeners and viewers — with e.g. over 1 300 media articles ranging from USA Today to Forbes to Quartz to Financial Times to BoingBoing. KONE’s launch was a success in terms of active customer demand as well, as customers now easily understood the benefits of a complex data-enhanced offering. Proactive demand creation for the service with clients wanting to know more about it – very unusual for the very low-interest elevator maintenance business. People waited for an average of 10 messages on the website – and gathered a good understanding of a complex service in very short time. Even our cloud services partner, IBM picked up the Machine Conversations phenomenon, amplifying campaigns reach even further.

To launch KONE’s new 24/7 AI-powered elevator maintenance offering, for the first time, real-time machine-to-machine conversations were translated into human language — making it possible for people to hear what goes on in the minds of elevators and an AI-driven cloud — sparking worldwide attention and becoming a pop-culture phenomenon. All together we translated over 500 data signals into human sentence equivalents – and let people listen in real time.

To provide high-impact, incontrovertible proof of our capabilities in tracking, analyzing and predicting repair needs for elevators we collected and used vast amounts of real-time data supplied by KONE’s elevator sensor packs. We linked the sensory feed up through a custom API to our own backend and output it through IBM’s BlueMix voice synthesis for anyone to listen and also to read as intelligent and intriguing machine conversations. The conversations were written and programmed to account for changes in the over 30 variables tracked by our sensory packs, resulting in ever-changing status updates and ensuring intelligent responses to these from the cloud. This had the effect of giving each elevator and the cloud a unique tone-of-voice and personality. The execution was targeted towards media, the general public and an expert audience of AI, IoT and elevator specialists, and most crucially towards potential elevator maintenance customers. For them, we had to have a real specialists, and most crucially towards potential elevator maintenance customers. For them, we had to have a real proof, not just a proof of concept.