“AIOps systems integrate big data, machine learning, and analytics to improve IT operations by providing proactive and personal insights through monitoring, automation, and service desk tasks, while also allowing the usage of numerous data sources and data gathering methods. In theory, AIOps can reduce the expenses associated with IT concerns by providing faster remedies to outages and other performance issues.”
“Big data and machine learning are combined in AIOps to provide predictive outcomes that help speed up root-cause analysis (RCA) and reduce mean time to repair (MTTR). Your ITOps can improve over time by providing intelligent, actionable insights that support a better level of automation and cooperation, saving your company time and money.”
“AIOps solutions decrease the flood of alerts that inundate IT teams by learning over time which sorts of warnings should be given to which teams, decreasing redundancy and, as a result, boosting an IT organization’s capacity to be a valuable business partner. An IT operations platform with built-in AIOps capabilities can assist IT operations in proactively identifying and correcting possible issues with the services and technologies it provides to a business.”
#FOAI2022, Future of AIOps for Business. Group Futurista, January 2022.
High Performance Operations
with Human Centered Artificial Intelligence, HCAI
Jose de Francisco, Chief Designer I Nokia CNS, Cloud & Network Services
AI is not only revolutionizing commonplace enterprise operations and fostering digital transformation, but also transforming AI’s own design principles, and agile development and delivery practices in the process.
Human Centered Artificial Intelligence, HCAI, purposely sets-up nimbler interdisciplinary teams for success, so that brands can efficiently perform at greater scale, broader scope and unprecedented speed with customer centric practices.
Principled HCAI addresses highly adaptive operativeness, observability, traceability and explainability, progressive closed feedback loop optimization, all coupled with the behaviors that elevate governance and ethics to the forefront.
Jose de Francisco is the Chief Designer at Nokia Cloud & Network Services, a software leader in the global telecommunications sector, and Head of Nokia’s Chicago Innovation Center, an interdisciplinary R&D facility involving all of the company’s business groups. Jose is an award winning designer and his professional experience encompasses leadership responsibilities in strategy, product & service design, human factors engineering, product line management, new ventures and integrated marketing.
Let’s start with a retrospective. While studying industrial design in Barcelona, all the way back in the late 80s, some of our class’ courses followed Bruno Munari‘s teachings, whose methodology was captured in “How Are Objects Born?”
A PROJECTIZED DESIGN MEDTHODOLOGY
Munari’s world was introduced to our class as a multifaceted down-to-earth creative. He positioned a so-called “projectized methodology” as a logical sequence of desing operations aimed to maximize outcomes by applying the minimum required effort.
Munari emphasized the merits of painstaking work addressing “objective values” to generate creative outcomes… and strongly dismissed any whimsical and fanciful approach that would shortchange thoughtful due diligence and, therefore, proper design.
In that context, no disciplined practitioner should ignore the fact that discovery and iterative workstyles can lead to modifying and improving any method, as design tools and process also become a subject of design. Why? The set of assumptions, principles and rules deployed a project’s front-end… might not necessarily be the ones delivering successful outcomes at the project’s backend.
THE UNDERLYING THINKING
Munari’s referred to Rene Descartes’ “Discourse on the Method,” which was published 344 years before “How are Objects Born” was released. Most people relate Descartes’ better known “I think, therefore I am,’ statement. At the expense of possibly sounding corny, let’s translate that into “I Design Think, therefore…” for the purpose of this discussion.
In the 17th century, Descartes positioned a proven-fact based approach to problem solving: “true and sound judgements” that we can “intuit or deduce with certainty.” The so-called cartesian doubt involves methodological skepticism: nothing is taken for granted. The Scientific Revolution was taking hold. Earlier momentum generated the Renaissance was taken to new levels of enlightenment.
Descartes taskflow entailed decomposing complex matters down to what become atomic level ones: those are still coherent and manageable enough (cognitively speaking) for us to effectively address. His method calls for solving for the ones that can be successfully tackled first.
GETTING THE DESIGN JOB DONE
Munari’s mind-mapping illustrated a taxonomy of primary, secondary and more granular lower level problem statements as needed, followed by data gathering and analysis. Experimentation ran options assessment.
New discovery was encouraged. Technical and production feasibility considerations being instrumental early in the process so that constrains and implementation choices were well understood. Once testable prototypes become available, iterative user involvement and validation drove improvement and optimization A design prospectus and project file would feature:
- Final design proposal and prototypes.
- Problem mindmap.
- Design specifications sheet.
- Notes on streamlined design considerations optimizing for simplicity.
- Production cost and comparison analysis.
- Use cases, expected functionality and performance.
- Sensory and experiential assessment, accounting for all senses.
- Ergonomics, usability, maneuverability, including health hazards.
- Journey touch points and wear & tear: upkeep, maintenance, serviceability.
- Impact of ad-ons, packaging, and any other attached and surrounding items.
- Aesthetic coherence and modular design components.
- Social value and cultural contribution.
THE GREATER VALUE OF DESIGN’s WHOLE
Back to Descartes, he would point to the need for addressing the integrity of the overall system and, therefore, the higher value of the composite view. This also is about ensuring that no gaps, breaking points, ruptures, weak-links, leaks, and loopholes remain. Basically, stress testing our solution with a “continuous and wholly uninterrupted sweep of thought” as he would put it.
Just a couple of more things about Descartes… in his “Rules for the Direction of the Mind” explicitly he stated that “we need a method if we are to investigate the truth of things” and should investigate “what others have already discovered.”
And in the “Discourse on the Method” he introduced data visualization by means of correlating values with the cartesian coordinate system, which intersected geometry and algebra to become the foundation of analytics geometry.
The Bauhaus’s centenial anniversary, 1919-2019, is worth highlighting. During my industrial design studies, the German Bauhaus‘ lasting influence was quite significant and largely conveyed by professors and program directors with a professional background in architecture. Here is a summary of what that meant:
- Form follows function.
- Less is more: straighforwarness, abstract simplicity, and great refinement.
- Clean design and aestic finesse, all production friendly and scalable.
- Adopting and pushing the boundaries of emerging technologies.
- Designing is not a profession, but an attitude.
- Indivisible unity of formerly separated and indenpendent fields and silos.
- Craftmanship pride and signature designs that make a difference.
The American New Bauhaus influenced the post-World War II culture and settled in Chicago at the Institute of Design, part of th IIT, Illinois Institute of Technology.
Our class was confronted with a compeling Bahuasian approach that could result in highly formal, rigid and austere geometrical configurations while Barcelona’s environment was (and continues to be) a reminder of the contrasting Catalan Modernism of the early 20th century, unapologetically being:
- Abstracted organic shapes, shapes and structures that are nature inspired.
- Carefully crafted eclectic sophistication and visually arresting outcomes.
- Celebratory by mashing up historical elements under a new light.
- Theatrical experiences as people become design’s live audiences.
- Strong sense of cultural change agency.
Also worth recalling that the late 80s intersected Post-Modernism, a movement that featured a wide variety of optics and was a departure from rationalism and, therefore, purposevely confrontational. Subjectivity and and criticism abounded.
DESIGN FOOD FOR THOUGHT
Munari’s “projectized methodology” helped dissect problems and got the design job done while keeping any rushed and whimsical design at bay: no need for the overly and out-of-touch “romantic” stuff as he saw it. Munari also confronted any “luxurious” and “fashionable” design statements, which he qualified as superfluous and frivolous, and the antitesis of design.
But, it did present the sort of shortcomings that can come from applying constrains from the get go. The fact is that freethinking can make a difference at the project’s onset. Applying Descartes’ methodological skepticism would neutralize that. However, relying on Descartes’ rational wisdom alone does not suffice. Damasio’s “Descartes Error” exposes the following:
“Reason may not be as pure as most of us think it is or wish it were […] emotion assists with the process of holding in mind the multiple facts that must be considered in order to reach a decision. The obligate participation of emotion in the reasoning process can be advantageous or nefarious […] when emotion is entirely left out of the reasoning picture, as happens in certain neurological conditions, reason turns out to be even more flawed than when emotion plays bad tricks on our decisions”.
My next article will continue this late 80s and early 90s restropective, which takes me back to my college years. I will switch to my experience in engineering school for the purpose of deliverating about what QUALITY really is about. As an example, I will exchange views on TQM, Total Quality Management, and Operational Excellence… and will circle back to this post to connect the dots to clearly define QXbD, Quality Experiences by Design.
- Damasio, Antonio R.. Descartes’ Error. Penguin Publishing Group, 1994.
- Munari, Bruno. Como Nacen los Objectos. GG, 1981
- Descartes, Rene. Discourse on the Method. 1637
- The New Bauhaus. Opendox, 2019. Accessed on May 12, 2019 https://www.thenewbauhaus.com
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.
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.”
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.
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 – 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.