Category: Conference

Design Camp @ IIT Institute of Design


IIT Design Camp

Each year IIT Institute of Design (ID) hosts Design Camp, a four-day immersion into the design process for working professionals across industries. Using a real-world challenge facing a Chicagoland nonprofit, ID faculty teach problem framing, user research, analysis, concept generation, prototyping, and design communication.

Learn new ways to generate insights and effective approaches for tackling the issues you and your organization encounter.


July 15–18, 2018     08:00 AM – 05:00 PM


IIT Institute of Design    3137 South Federal Street     Chicago, IL 60616


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IEEE CQR 2019: 5G in Context


IEEE CQR 2019 Banner


 

ComSoc CQR 2019 – @ieeecqr #cqr2019


I would first like to thank IEEE CQR , Communications Quality & Reliability, and all participants attending this year’s event for the opportunity to chair the conference’s opening session, which focused on 5G capabilities in the areas of small-cell densification, millimeter wave backhauling, and end-to-end security in multivendor environments.

I am also glad about having joined a second executive panel discussion (also on 5G) as one of three speakers, sharing the stage with Verizon’s Abby Knowles, VP of Network & Technology, and Deutsche Telekom – MobileedgeX‘s Geoff Hollingworth, Chief Marketing Officer.


IEEE CQR 2019 Twitter Feed.jpg


This was my 6th IEEE CQR conference since 2012, which I first attended as speaker for a Distinguished Expert panel discussion led by IIT’s Carol Davids, Director of the Real Time Communications Lab at the School of Applied Technology. Seven years have passed since that early engagement, which makes one reflect on what Communications and Quality entail in this year’s context.

This time around, in my opening remarks I outlined the nature of today’s human-to-human, machine-to-machine and human-machine communications. I also referred to Juran’s classic, “Quality by Design,” and his reference to Big Q and Little Q: the former refers to quality as value in the context of the user experience, while the later focuses on industrialization quality… conformance to standards just being “one of the many means to that end,” but not only.


From a Design Thinking perspective, the quality of 5G’s Human Experience is coupled with Technical Feasibility and Business Viability. Delivering quality experiences that make a substantial difference (when compared to either alternative and/or earlier generations of mobile technologies) becomes a top and critical success factor.

This is true across consumer and enterprise markets. And we shouldn’t forget the need for taking down the digital divide: gaps in digital literacy become inequalities undermining our communities’ prosperity and quality of life.


5G’s Technical Feasibility goes beyond radio technologies to include: data science, cloud systems, virtualization, software defined tools & systems, and distributed architectures that entail microservices… as well as centralization optimizing for cost efficiencies and distributed edge resources optimizing for effective service delivery… just to name some of the technical matters under consideration in 5G’s ecosystem.


5G’s Business Viability calls for new business models that reshape and transform the value chain in users’ best interest… so that 5G can actually thrive. That undoubtedly prompts more attention to Human Centered Design (HCD) in telecoms, this being the very same sector that pioneered Human Factors Engineering (HFE) in industry and coined “Designing for People” all the way back in the mid 1940s.


IEEE CQR Session ChairLast but not least, I need to express my appreciation to segment and session chairs Bob Lesnewich and Kelly Krick for all of their support and tireless work before and during the conference.

Thanks to Chris Mayer, Technical Committee Vice Chair,  Jason Boswell and Pasi Hurri, conference co-chairs. The talent and experience that IEEE CQR manages to rally makes this be a premier industry event year after year.

IEEE CommSoc CQR 2019 – @ieeecqr #cqr2019


 

NOKIA HFE18 Conference (2) GI: Genuine Intelligence


Every once in a while we get to experience Murphy’s (dreaded) Law. This time around that had to do with stability issues with a media webcasting platform. We are now working on rescheduling NOKIA HFE18 under a different format. In parallel, we are also kicking off planning for HFE19… and we will take full advantage of lessons learned.


HFE18 Banner

Ref: Nokia HFE18 Conference (1) #MakeTechHuman


We regret any inconvenience that this eleventh hour change in plans might cause, and remain extremely grateful to both speakers and volunteers who have already invested time and efforts, which should not go to waste.

In the meantime, I’d like to volunteer just a handful of insights on the session that I was scheduled for and, therefore, keep the discussion going. The objective is to further improve what’s already available and allow for an even better session when we get to reconvene. Here is my session’s abstract to begin with.


THE SOFT & HARD NATURE OF ANYTHING DIGITAL

“Our quest to deliver productivity tools yielding operational excellence for DSPs, Digital Service Providers leads to the design of signature experiences by innovating in the process.”

“The Studio at Nokia Software’s Solutions Engineering is set to work with deceptively simple techniques and elegant sophistication… because neither oversimplification nor self-defeating complexity allow end-to-end systems to efficiently operate at digital speed and global scale.”

“This discussion intersects the soft and hard natures of dynamic systems by modeling Human Machine Systems (HMS) and the design of cybernetics. This practice focuses on critical success factors for the early acceptance and broader adoption of emerging technologies.”

“The work at the Studio embraces a renewed approach to QbD, Quality by Design, which is set to left-shift and unveil instrumental considerations at early design stages. The result is Nokia Studio’s QXbD, Quality Experiences by Design, optimizing for customer delight rather than table-stakes customer satisfaction.”


GI4HMS Jose de Francisco


NI – WHAT IS NATURAL INTELLIGENCE? At the time of writing this, we humans possess NI, Natural Intelligence. NI involves naturally developed cognitive functions and models leveraged by the sort of biological beings, which humans happen to be. Intelligence (a) captures, (b) generates, (c) applies and (d) evolves knowledge. Our individual and collective brainpower can be gauged in terms of (e) skills and (f) talent levels, jointly with an understanding of (g) the underlying decisioning process and (h) our perceived experiences in context.


AI – WHAT IS ARTIFICIAL INTELLIGENCE? Intelligence that is not naturally occurring, simulated knowledge in other words. This is generated by programmable artifacts consuming, processing and producing data under closed loop models. Whether working with individual or networked machine intelligence, there is neither information derived from mindfulness nor the type of general purpose sense making that match those of the human experience. The year is 2018… and that’s where state of the art is today.


GI4HMS Jose de Francisco 2.jpg


GI – WHAT IS GENUINE INTELLIGENCE? Earlier in the year I introduced this topic at Design Thinking 2018 (plenary session) and at IEEE Emerging Technologies Roundtable (invitation only workshop.) Coincidentally, both were held in Austin, TX, back in May. I proposed thinking about GI as the outcome of NI powered by AI.

By the way, “genuine” means acting in bonafide. To be clearer: with honesty and without the intention to deceive. Given the trade-offs (pros and cons) that NI and AI bring to the table, GI gets us a step closer to productive bonafide systems.

GI is, therefore, the outcome of purposely crafting optimal technology solutions that augment human possibilities. This is addressed by Human Factors Engineering interdisciplinary science given HFE’s holistic approach and focus on value driven Human-Machine-Systems, HMS.

Quick side note: those of you into Lean and Lean Six Sigma can approach this topic with Jikoda (autonomation.) Ditto for anyone working on Human-in-the-Loop Computing, Affective Computing, RecSys (Recommender Systems,) Human Dynamics and Process Mining with Machine Learning or, better yet, xAI, Explainable Artificial Intelligence.


DDESS Nokia Studio


DDESS – The most tangible design work entails the delivery of DDESS, Digital Decision & Execution Support Systems. This is where GI gets interesting because we need to apply new optics to take a fresh look at what Operational Excellence is (and is not) moving forward.

In a nutshell DDESS’ purpose is to reveal and inform decisions and to make decisions, all in context. But, I will pause here as this topic will be better covered in subsequent posts… just one more thought: DDESS addresses decision support for (NI) humans, (AI) machines, and (GI) human-machine systems. Coming to terms with that one insight alone becomes a critical success factor.


Some other thought… it turns out that, in today’s day and age, projects that are techno-centric heavy only succeed a fraction of the time, 10% or so by some estimates. Selective memories tend to focus and celebrate the 10% that make it… but that is a terrible ROI, Return on Investment, which inflicts (1) severe technical debt, (2) latency costs in systems engineering and (3) a huge opportunity cost as funding and good efforts could have been put to work for more productive endeavours.

By many other well documented and more recent accounts, HCD, Human Centered Design, happens to flip that ratio as designers are obsessed with optimizing for user acceptance and frictionless adoption from day one. HFE takes painstaking work on purposeful and value driven technological solutions where a smart combination of Outside-IN-innovation and Inside-OUT-ingenuity happens to make all the difference.