“We should shift the goal of AI from creating pure undirected artificial intelligence to creating beneficial intelligence (…) so let’s start researching this today rather than the night before the first strong AI is switched on.“
Stephen Hawking. Reddit Science AMA Series, July 27, 2015.
I would first like to thank those of you who participated in the live AI session at Design Thinking 2021 this past month. Hope that the information and insights shared during our discussion were of value to everyone. I appreciate the positive reviews and the encouragement to keep moving in this direction. Some of you were interested in just understanding how to approach the subject, while others have been working on AI projects for years already and met in the hallway to continue the discussion.
The definition of ‘deep tech’ has evolved. Just for this discussion’s sake and in the context of this specific session, we can think of it as the set of technologies that are not directly developed for end user services. For instance, core research in quantum computing is set to foster pivotal advancements in computational thinking, which leads to game changing performance and capabilities in AI, unleashing new possibilities as a result.
Design wise, our work is driven by devising meaning. We look at benefits and drawbacks, opportunities and risks, and anything in between. These matters become quite tangible when architecting outcomes, which materialize when specific value happens to be created in the process.
That is different from just producing an artifact because we simply can. Design involves experimental undertakings as a deliberate practice. That was the reason behind positioning TOPP, Test Oriented Progressive Prototyping, in our session. TOPP’s concept is key to generating data, analytics, insights and decisions (learning and training in other words) in the realm of QXbD, Quality eXperiences by Design.
Value and quality are correlated. Both are evolving human considerations resulting from our experience with a given service doing some meaningful job for us. This thought applies whether the service is enabled by a conventional product or delivered as a pure play service as such. That statement remains true for physical, digital and hybrid solutions.
De-risking investments in advanced technologies and elevating the chances to succeed in the process can be best approached by ‘designing to value’ and, therefore, by being quality minded. It takes a purposeful human centric orientation, which is achieved by intersecting HCD (Human Centered Design) and HFE (Human Factors Engineering.) It makes not only sense, but it is of the essence in HCAI, Human Centered AI.
As discussed during the session at Design Thinking 2021, investing in ‘AI’s deep tech’ is a critical success factor, but not the only one. We now see a growing share of R&D being devoted to HCAI. System visualization, observability, explainability, intuitive programmability, ease of command and control… all being very relevant and the substance behind the list provided on page 24 in the presentation.
Trending-wise, that happens to be consistent across the board when looking at digital transformation projects. In a discussion with peers at MIT a couple of years ago, I learned that close to 50% of R&D is best devoted to human centric technologies, so that we can reap the benefits and make the most of digital solutions, which turns out to be instrumental to technological leadership. Our conversations at Design Thinking 2021 concurred.
I have made my deck available on the Design Thinking 2021 site, where those who registered for the conference have access to the event’s presentations. As usual, I have also posted a copy on my SlideShare and, this time around, the same file is also available from my LinkedIn profile. Glad to continue the conversation.
- Nokia Wins Design & Innovation Award @ Design Thinking 2021
- Design Thinking 2021: Conference Discount Code DT21_Francisco
- Design Thinking 2021: Digital Transformation Enterprise Award Finalist
- Design Thinking 2021: Design Leadership Award Finalist
- Design Thinking 2021: Driving AI/ML with QXbD, Quality eXperiences by Design
“A great idea is only the beginning. The Back End of Innovation provides a strategic road map to successful commercialization. Learn how to bring new products to market and commercialize them for maximum impact on the bottom line. Uncover new ways to solve problems we all encounter in today’s dynamic business world.”
Back End of Innovation #BEICONF
I am working on the talk that I will deliver at Back End of Innovation 2016 and just came across BEI’s banner on prominent sites, such as CNN’s Innovation section (left screenshot).
The organizers have made available a discount code, which I can share if you were interested in attending. If so, feel free to send me a message on LinkedIn.
The conference’s agenda features speakers from 3M, Cisco, Coca-Cola, Fidelity, Johnson & Johnson, Keurig, Pepsi, Vodafone and Xerox among others and I will be there proudly representing Nokia.
My talk’s title is “Lean Ops Innovation: Dynamic Service Delivery,” which is scheduled on November 17 at 11:30. Here is the abstract:
“Network Operators in the telecommunications industry operate complex sets of technologies and environments. This sector’s future relies on furthering software defined systems supporting the next wave of pervasive digital services, which all of us come to rely on in our day-to-day lives.
Nokia’s Applications & Analytics (A&A) team has evolved and redefined Lean principles to intertwine advanced analytics, automation, programmability and human factors engineering, the four pillars of a new LeanOps’ framework. The outcome is effective service delivery enabled by highly efficient systems that remain nimble and agile at any scale and at any point in the life-cycle.
Join Jose for this session to learn:
- A new Lean Ops framework intertwining analytics, automation, programmability and human factors.
- How to effectively interweave Design Thinking, Lean, DevOps and Agile to deliver breakthrough innovation.
- Unlocking the value of Human Factors Engineering in the cloud age and, therefore, expanding the human possibilities of technology.”
Earlier in the year I gave a talk at IEEE Communications Quality & Reliability – CQR 2016 also on Nokia’s Lean Ops.
Back then, my focus was HCI, Human-Computer-Interaction and operational efficiencies. As an example, immersive user interfaces taking advantage of 3D data visualization coupled with autonomation and assisted automation, as well as continuous optimization lead to effective decision support systems (DSS) that mitigate human error and elevate value based tasks.
That was discussed in the context of the kind of complex operational environments experienced in the telecommunications industry by network operators. As shared above, my presentation at BEI will focus on the underlying construct instead.
This is my “75 word” bio for this event: “Jose is a Design Director at Nokia’s Applications & Analytics Group. His 15+ years of experience feature leadership responsibilities in strategy, product management, R&D, and marketing. Jose worked with Bell Labs and holds three patents. He is a Member of the Advisory Board at MIT IDSS and is the recipient of an MBA from Chicago’s DePaul University as a Honeywell Europe’s Be Brilliant Scholar. Jose holds a postgraduate degree in Human Factors Engineering from BarcelonaTech.”
This is the second time that I’m featured as part of BEI’s Speaker Faculty and I would like to take this chance to thank the team at Informa for their kind invitation.
I will be happy to meet at BEI and hope to see you there : )
Here is a selection of five Lean Ops video clips. There are a few other out there, which range from 60 to 90 minutes.