Tagged: Dataviz

Nokia Service Operations Center #TMFDigital 2019

#MakeTechHuman @ Nokia Studio


Nokia Studio

Nokia Studio - Chicago Tech Center

The Studio at Nokia Software engages in interdisciplinary work to create advanced data visualization and sophisticated cybernetics for human-machine-systems in complex enterprise operational environments. We are implementing our home-grown QXbD, Quality Experiences by Design, meta-methodology to #MakeTechHuman.

Design & Innovation Advisory Board

Our community efforts as a member of CMP’s Design & Innovation Advisory Board, lead to Nokia’s involvement in the following conferences, which focus on HCD, Human Centered Design, practices:

IEEE CQR 2019 5G and User Needs.jpg

We are also a regular contributor to IEEE Communications Quality & Reliability, and, just recently, 5G Capabilities to Meet User Needs session at CQR International Workshop 2019 in Naples, FL.


Nokia HFE2019

Nokia Studio - HFE19 Conference

The HFE2017 conference celebrated the pioneering spirit of the team at Bell Labs that institutionalized human centered design in the high tech industry all the way back in 1947. We are now implementing HFE2019 under a talk series program over the course of the year. Stay tuned as more information becomes available.

The above version of the Human Factors Engineering Manifesto was first released in 2017 and sought to share HFE’s end-to-end systems thinking in today’s digital world. We are making updates that incorporate feedback received since.

What follows is just a sample of Nokia’s public initiatives:


Nokia Bell Labs Future Human

Bell Labs‘ podcast series explores the human potential of technology. Many of the innovations we take for granted have been hatched over decades, forged by an unlikely and ongoing collaboration between emerging artists and the keenest engineering minds in the world.”

“As the science fiction of days past – self-driving cars, Star Trek-like communicators and interstellar tourism – becomes everyday reality, where will the next great ideas come from? Listen in as today’s most adventurous creators inspire their scientific peers to unleash a more connected world.”

Nokia Bell Labs Future Human


Nokia People & Planet Report 2017

Nokia is at the dawn of a new era. Digital technologies – cloud computing, artificial intelligence, machine learning, the Internet of Things, and soon, 5G networks – are changing the way we live and work in countless ways.”

“Technology and solutions from Nokia will help power this digital future, and we are excited about the possibilities. We also recognize that we have the opportunity as well as responsibility to apply technology in ways that enhance people’s lives and, more broadly, advance humanity.”

“Today, we continue to focus our social responsibility activities on four key areas: improving lives with technology; protecting the environment; conducting business with integrity; and respecting our people.”

Nokia People & Planet 2017 Report


Nokia Futurithmic

“How will the rapid advances in technology affect our lives at work, in our homes, and in our daily interactions with others? Here, we examine the human side of emerging technologies, considering the endless possibilities they bring and the complex challenges that they may bring.”

Nokia Futurithmic


Nokia MakeTechHuman

“In 2015, the WIRED and Nokia partnered to kickstart a global debate on how to make technology serve humanity better called #maketechhuman.”

“It was aimed at uncovering what worries—and what excites—people about innovation today, from the most influential minds on the planet to your next-door neighbor.”

“This effort involved 80+ luminaries, thought leaders and partners including Tim Berners-Lee, Stephen Hawking, Monica Lewinsky, Megan Smith, Sugata Mitra, and Matt Mira.”

Nokia led a global debate exploring the excitement and worries associated with humanity’s relationship with technology, we sought to uncover the issues that mattered most, investigate them and highlight global solutions.”


Studio at Nokia Software.jpg

Nokia Studio. 2000 Lucent Lane. Naperville, IL 60563. United States.


IEEE CQR 2018 – AI CoC Session

 


IEEE CQR-ETR 2018: “Discuss and identify the RAS (Reliability, Availability and Serviceability) challenges, requirements and methodologies in the emerging technology areas like the Cloud Computing, Wireless/Mobility (with focus on 5G technologies), NFV (Network Functions Virtualization), SDN (Software Defined Networking), or similar large-scale distributed and virtualization systems.”

“Discuss the RAS requirements and technologies for mission-critical industries (e.g., airborne systems, railway communication systems, the banking and financial communication systems, etc.), with the goal to promote the interindustry
sharing of related ideas and experiences. Identify potential directions for resolving identified issues and propose possible solution.”


IEEE CQR ETR 2018 1


Session Title: A Programmatic Approach for an Artificial Intelligence Code of Conduct.

Today’s DX, Digital Transformation, programs are all the rage, but it takes a fair amount of double clicking and inquisitive questioning to separate facts from vaporware. DX typically involves a wide variety of game changing initiatives intersecting analytics, automation, programmability, software-defined systems, end-to-end integration, service-level composition and controls… all coming together to optimize for Quality as a differentiated and value-based Human Experience. Therefore, Customer Delight metrics (rather than outmoded customer satisfaction ones) are set to redefine the “Q” in CQR, Communications Quality & Reliability in 5G.

While the Telecoms industry rallies toward a zero-touch automation paradigms, which some happen to position as a Human-“OFF”-the-Loop panacea, this session will expose the need for considering, and possibly pivoting, to the kind of Operational Excellence that can only be delivered by adaptive HMS, Human-Machine-Systems instead.

Note the rise of Dataviz (Data and Science Visualization,) ML’s (Machine Learning’s) Collaborative Filtering, AI’s (Artificial Intelligence’s) RecSys (Recommender Systems) and a renewed take on Cybernetics are driving innovation in HILT and HOTL (Human-“IN”-The-Loop and Human-“ON”-the-Loop, Computing,) as well as delivering effective mass-personalization with Affective Computing powered by Human Dynamics’ analytics.

Telecoms’ pioneered HFE, Human Factors Engineering: a holistic systems engineering discipline addressing people (culture, workstyle, skills,) processes (procedures, methods, practices,) and technologies (crafts, tools, systems) so that we can best humanize technology and make a compelling difference across the value chain at all levels. We are now embarked on a new journey.

The sought after outcome of any Digital Service Provider, DSP, is to be instrumental to our Citizens’ Quality Experiences with new service experimentation, transactions and growth models. This takes agility and dynamic system-wide (horizontal and vertical) behaviors, which prompt effortless operability at unprecedented speed, scale and scope. Our work permeates design, development, delivery and serviceability, and continuous intertwined lifecycles instead of lock-step waterfalls.

In this context, AI, Artificial Intelligence, enables us, humans, to envision and implement capabilities beyond the reach of legacy systems’ last gasps. By the same token, practices that might have appeared to serve us well in the past, are exposing their limitations when becoming latency-prone barriers. A successful path forward takes augmented Human-Machine Intelligence. A programmatic approach for an AI’s Code of Conduct would enable us to best model AI’s behavior, design better human-network interactions and collaborate on standardization.