Blogs worth reading 2018

Here it is the anual list of blogs which I normally consume on a random basis for research purposes and to be inspired by others point of view.

On Digital Transformation at large:

  • Cape Gemini blog – A good source to look for trends on digital transformation.
  • Column 2 – Independent source on digital transformation by Sandy Kemsley.
  • IEEE Spectrum – Future technologies brought by IEEE.
  • Jim Sinur – Digital transformation trends by Jim Sinur.
  • PeterVan – A 1.0 version type of blog that curates interesting articles from Peter Vander Auwera.
  • On Web Strategy – Dion Hinchcliffe writes about the human side of digital transformation.
  • Internet of Things and Services Blog – By Bosch Software on IoT.

On Complexity:


If you are interested in 2017 list click here.

BPM Blogs worth reading 2017

Here it is the list of BPM blogs which I normally consume on a random basis for research purposes.

On BPM at large:

  • Bp-3 – Scott Francis’s blog brings a balanced viewpoint on BPM trends and challenges and entrepreneurship.
  • Cape Gemini blog – A good source to look for trends on digital transformation.
  • Column 2 – Independent source on BPM systems review by Sandy Kemsley.
  • IEEE Spectrum – Future technologies brought by IEEE.
  • Improving Enterprise BPMS – A great blog to look for frameworks by Alexander Samarin.
  • Jim Sinur – Good insights about BPM future trends.
  • PeterVan – A 1.0 version type of blog that curates interesting articles from Peter Vander Auwera.
  • On Web Strategy – Dion Hinchcliffe writes about social business.

On Analytics:

On Complexity:

On Enterprise Architecture:

  • Found In Design –Nigel Green writes about advanced Enterprise Architecture.


If you are interested in 2016 list click here.

The man and the machine manifesto

“Self-organised systems, lie all around us. There are quagmires, the fish in the sea, or intractable systems like clouds. Surely, we can make these work things out for us, act as our control mechanisms, perhaps most important of all, we can couple these seemingly uncontrollable entities together so that they can control each other. Why not, for example, couple the traffic chaos in Chicago to the traffic chaos in New York in order to obtain an acceptably self-organising whole? Why not associate brains to achieve a group intelligence?”

Gordon Pask, The natural history of networks


Today there is a shadow or sense of doubt if we as humans want machines to think or to do – some people already argue they do think, detached from the consciousness bond – and it would replace humanity soon, as many others advocate singularity is near with systems that can adapt themselves, command, control other systems, something as Douglas Hofstadter referred to “tangled recursion” as an example of machine intelligence.
I ultimately believe that humans and powered AI machines will work together, not compete against each other. Humans will be much more empowered by the symbiotic combination of machine work, meaning that we will need to continuous to adapt to rather than become indispensables, we increase our own capabilities.
However, there are many untamed challenges in terms of such man and machine symbiosis, as we the human species, have the responsibility to define by which rules we want to live, as machines progress in new areas, changing the foundations on our society is organized, as per bellow.

Much has been discussed how to define machine design rules and relevant regulation. Some experts believe that is the hands of humans to define such rules and while machines are tightly controlled by humans we can define how machines should be engineered. However, some examples related with war machines, demonstrate that Isaac Asimov’s laws do not apply anymore, once the potential for harm is increasing rapidly.
Hence the challenge stands. Consider the scenario of an intelligent medical system that provides counselling and advisory, induces a medical doctor with error. Who is responsible? The Doctor? The system? The entity that conceived the system? The trainer that trained the system to make decisions, based on a knowledge base? How do we deal with human life loss? Regulatory bodies for the engineering profession or other domain expertise, have clearly defined rules for design or professional act decisions, made by humans, however, in terms of machines endowed with any kind of intelligence, governance appears missing and there is no common broad agreement.

Societal impact, innovation and economy growth
There is no doubt that technology was always the common denominator that sparked economic growth, the press, steam engines and lastly the internet, created in three different moments in time tectonic shifts. However, prosperity also contributes to unemployment. Technology tends to automate at scale and replace repetitive tasks, but the last wave of technological developments is already targeting knowledge workers as well. Hence, the challenge is not related with low income workers only. The balancing act should be how the use of technology can contribute to higher living standards, diminish inequality and drive inclusion.

Human and Machine Interface
Mixed reality is becoming a popular interface in human-computer interaction for combining virtual and real-world environments, and it has recently been a common technique for human-robot interaction, it price is however a barrier for adoption and creates digital imparity. Natural language processing is becoming another de-facto interface, applied for example on business to consumer interactions, but some questions are still not addressed in terms of humans that speak a language blending influence of their own culture that a machine is not aware of. Despite the advance interacting with devices like smartphones, as technology progresses, it is relevant do involve interface designers to make a reflection how machines affect human to human interactions and human to machine interactions.

Tackling the trade-off between privacy and security is today already a challenge, related to the fundamental but complex separation between what constitutes the private and the public space of an individual. The definition of a concept, a domain, is a consequence of the surroundings, of the environment we live and the multitude of human principles and beliefs. What in a society can be accepted as a practice, in another can be condemned. The concept of privacy is constantly being redefined to a point that can be transform into a matter of transparency, for example, sharing publicly your taxes declarations if you are a politician. How we deal with ethics in terms of a machine that have access and share our medical records that will make decisions in terms of triage or sense of urgency related with medical treatment? It’s in ethical that a machine can make judgment about predicting future crimes or provide a credit risk score based on data that is related with our profiles?

The Digital Lab

Trainspotting was a movie that above everything but becoming a hipster. The characters where real like, embodied in some past memory we lived during our 20’s. Twenty years something after, version 2 of the movie is released. Together with the soundtrack of the latest incarnation, apart of Iggy Pop’s Lust for life, it was released an umpteenth version of Underworld’s Born Slippy, probably, the song that catapults the band to the mainstream.
During this week I attended a digital transformation academy and the only component that caught my attention was the need to deploy a digital creative lab. A place on which companies will experiment, test, fail and learn the road ahead of digitise operations.
On 2014, Underworld created a DJ set on the influences of the album dubnobasswithmyheadman for BBC’S Radio 6 program, the 6 mix. Karl Hyde mentioned across the broadcast – a tribute to the bands that influenced the production of the record – hey were meeting in SoHo with other important bands at the time like The Chemical brothers, Moby, Goldie the Orb and many others, and how they shared experiences and ideas for the records they were producing, in a way that some of the remixes that Underworld and their peers created for other bands – pay it forward – included the best of its work, feeling they were giving away instead of using it on their own records. The trade-off as they learned, is about the importance of being part of the animal collective creative process and how all the musicians learned how to produce much better music.
When I was an entrepreneur, I used to work time to time, at LX Factory in Lisbon, a co-work space – hotels where a depressing place to be, like to in house arrest – on which I could meet other entrepreneurs, artists, fashion hairdressers and designers. Co-work facilities always have rooms for people to ideate, however, the best place on which I share, learn and watch passing by so many inspiring ideas, was at the cafeteria where people meet to grab a cup of coffee and a sandwich. There, we were in full bloom. I remember how no-one blocked other people ideas, values and pre-conceptions, everyone was learning and was adding always news ways of interpretation, translating to his owns words or better, to his own domain expertise. For example, in those days, the Adaptive Case Management (ACM) was taking off and looming in the corporate agendas, opposite to the workflow automation. When I was referring about that fact and how it was being used in a project I was leading for an healthcare clinic in Berlin, someone that was doing some work in literature, told me about William S. Burroughs’s Naked Lunch. A book that does not follows the natural law of a narrative – ultimately, drove me to Der Mann ohne Eigenschaften – and like ACM, which the process closure is defined by the human when the goal is achieved, opposite to workflow automation that reaches the same outcome over and over again by the art of infinite repetition. Understanding the way Naked Lunch writing technique was used – the cut-up technique is an aleatory literary technique in which a text is cut up and rearranged to create a new text [1], opened to myself a new perspective how to articulate the ACM driven solution instead of using the common references around system thinking theory.
Digital transformation requires a new mind-set, creating a digital transformation lab that is not about being able to execute the toolbox, like creating rapid and agile idea prototype or storyboarding or apply design thinking techniques, it is how companies create an human interaction environment of highly creative people, that by the combination of multidisciplinary domain expertise they craft the next big idea. This is more a human resources challenge, upskilling your workforce rather than create the facility and the collaboration tools for people to ideate.
Image credit – LX Factory

BPM a year in review 2016

During 2016 we heard a lot about digital transformation, considered as the new Industrial Revolution 4.0, providing the catalyst for new business models, products, services and customer experiences that impact not only businesses but society overall. The societal impact will not reach the end of property or the end of financial flows or money but will increase the power of commons in a more open society.

Technology is playing an increasing role in everything we do, collectively with our customers shaping growth, disrupting industry landscapes and providing the catalyst for change. The ability to connect and manage all assets, products, employees and customers globally, like a network, has not really ever been possible or feasible, as well. Why is this important?  Because we are definitively in the era of the platform. We cannot optimize parts of the platform once we will sub-optimize the whole. We cannot be solely focused on social listening and incorporate it in customer and marketing management, we must listen and empower the commons to participate in the creation of changing business models and promote the efficiency of the ecosystem we belong. Recently, Tesla provided what is leading trough digital transformation. Sparked by a customer complain, that could not use the vehicle charging bays, in 6 days only, Tesla re-invented the service and induced efficiency and increased customer satisfaction as follows. As the Tesla example shows, digital transformation is about move beyond just thinking about our customers and start thinking like them, or if you prefer, put in your customer shoes.


Business model change – time to market: 6 days

We designed the Supercharger network to enable a seamless, enjoyable road trip experience. […] we understand that it can be frustrating to arrive at a station only to discover fully charged Tesla cars occupying all the spots. To create a better experience […] we’re introducing a fleet-wide idle fee that aims to increase Supercharger availability. […] The Tesla app allows […] alerting them when their charge is nearly complete and again once fully charged. For every additional minute a car remains connected to the Supercharger, it will incur a $0.40 idle fee. If the car is moved within 5 minutes, the fee is waived.
The era of the platform is contributing slowly to the end of asset ownership. But contrary of many views, similar of Ida Auken, member of the Danish parliament, this is not the beginning of the end of capitalism. The total cost of ownership will decrease, but will not be eliminated, money will continue to flow towards a consumption based economy and will be re-invested by companies to innovate and to create new products.
Previously businesses models were designed to create a product, introduce in the market and, then customers bought it. That was the end of the era. Chemical companies are helping farmers to increase harvest regardless if the farmer relies on a IoT array of equipment or it communicate crop conditions using a mobile app, Healthcare providers changed their business model to extend life-expectancy by monitoring on real time vital signs, instead of reactive surgeries and post-surgery recovery. Today organizations are building in endless feedback loops – sensors in products, services, customer feedback from a variety of channels.
Business model transformation requires the development of an open ecosystem that merges technology, people and business process that enable these feedback loops, and define an organization’s competitiveness and ability to change the entire landscape of the industries in which it participates.
2015 entry and backward years can be found here.