Skip to main content

New innovations - Prioritize convenience over polarisation

 


Many innovations start with a group of believers (pioneers or early adopters), who embrace and defend the new idea, product, service or technology almost like a religion. This often leads to heated debates and a strong polarisation between those believing that the innovation will transform the future and those who argue that the current mainstream way of doing is still better and that the new evolution will never become adopted by the masses.
Often those confrontations are the result of the willingness of early adopters to overlook certain inconveniences (like bugs, instabilities, usability issues…​) associated with the innovation, i.e. they are willing to trade convenience for the experience of being disruptive and innovative. Other people, who do not share the same level of enthusiasm about the new evolution, can become frustrated due to the lack of criticism the early adopters show for the innovation.

Obviously as these innovations mature, the kinks are worked out, meaning they become more accessible and easier to use for the general public. This is the point at which an innovation becomes mainstream and is no longer just for early adopters. Only when the inconveniences and challenges associated with an innovation are solved, it can truly become widely adopted and appreciated by everyone. The early adopters play therefore a vital role, through their adoption and feedback so that innovations can be improved and become accessible to a wider audience.

So clearly early adopters and evangelists play are critical in the innovation process, but it is not all roses and sunshine. Their strong conviction and persuasion power (by often hiding - deliberately or not - the disadvantages of the new innovation) bears the risk of creating bubbles and buzzes, which lead to an incorrect usage of the innovation, unrealistic financial valuations of companies active in the concerned domain and precious resources which are misallocated by management, absolutely wanting to follow the buzz.

Examples of such innovations, which have become (in my opinion) too hyped are numerous, e.g.

  • Open-source: although already widely adopted, open-source is not a solution for everyone. Obviously open-source software with large communities (like e.g. Linux) is extremely valuable, but open sourcing software, where the community is limited to just one company doing all development and maintenance might not always be the smartest move.

  • Cloud computing: the benefits of cloud computing are enormous, but it is again not the best solution for every company and every use case. For specific use cases or companies, it might still be cheaper or more efficient to invest in bare-metal servers. The same applies for "Serverless computing", which is promoted as the next step after cloud computing and containerization. Again the added-value of this technology can be enormous, but once again it is not the best solution for every problem. As with any technology, there are advantages and disadvantages associated with it, and it is up to specialists (not up to management who wants to use the latest technology, just to be innovative) to determine the right solution for each case.

  • Mobility as a Service (MaaS): on the one-hand it is obvious that people want to have more flexibility in their mobility and want to use the fastest (and ideally most sustainable) transportation means at any moment, but on the other hand people like routine, have all kinds of constraints (e.g. bringing children to school before going to work, appointment over lunch hour, preferring privacy and convenience of own car…​) and might not be willing to pay for this service (as added-value is not considered large enough compared to the cost). Definitely there is a need for this solution, but it might not be as widespread as promoted by the mobility tech players.

  • Modern economical and business models, like the gig economy, the sharing economy and the "As-a-service" (subscription) business model: clearly those models will continue to grow as it allows an increased flexibility in workforce and consumption, but assuming that everyone and everything will evolve to those models is a bridge-too-far. A too creative usage of those models can lead to questionable platforms, like

    • In the sharing space: Simply (rent your own private pool by the hour), Spacefy (renting spaces and locations to creative people), SpaceiShare (space sharing)…​

    • In the subscription model space: London Sock Company (monthly sock subscription), Avocado Monthly (monthly avocado delivery), Cloudpaper (toilet paper subscription), CitizenM (hotel room as a service)…​

  • ESG movement and Cleantech companies: in recent years, all tech companies have launched several initiatives to improve their sustainability, usually in the form of initiatives to reduce their ecological footprint. Via all kind of software tools the ecological footprint of the company, customers and/or employees is measured and actions are proposed to improve the footprint. As the measurement techniques are often based on a lot of assumptions, the results can be easily manipulated, leading to impressive result announcements, but in reality minor change. This shows how over-hyped trends can sometimes move us away from the initial objective. This can lead to a bad reputation of the sector as a whole, in which a lot of companies with impressive innovations (which do make a difference) operate.

  • DeFi and Blockchain: also here it is a "with us" or "against us" story with little room for nuance. Clearly those recent technologies are very promising and can potentially revolutionize our world, but they are still too immature to deliver a good and easy user experience and to be adopted by the masses. Clearly a lot of those hurdles will be overcome in the coming years, but some limitations are also inherent to the technology and the model itself. It remains questionable if the advantages associated to DeFi and blockchain outweigh those associated limitations and disadvantages, in order to be really adopted by the masses. Cfr. my blog "Blockchain - Behind the hype" (https://bankloch.blogspot.com/2020/02/blockchain-beyond-hype.html)

  • AI/ML: a similar story for AI/ML. The success of AI tools like ChatGPT and Dall-E shows the enormous potential of this, but in my use cases using AI/ML is likely to be overkill, as the model is well-known and can easily be put in a simple rule-based algorithm. However in use cases, where those rules are too complex or impossible to describe (as they are often based on experience/feeling), AI/ML can be enormously valuable. Cfr. my blog "AI in Financial Services - A buzzword that is here to stay!" (https://bankloch.blogspot.com/2020/09/ai-in-financial-services-buzzword-that.html)

  • Low-code and No-code: idem story. Low-code and No-code are a valuable addition to standard coding, but it is unlikely they will replace traditional coding any-time soon. For specific use cases, it can be a perfect solution or at least a great accelerator to deliver software solutions quickly and efficiently. Cfr. my blog "Low- and No-code platforms - Will IT developers soon be out of a job?" (https://bankloch.blogspot.com/2020/07/low-and-no-code-platforms-will-it.html)

  • …​

All of those innovations are fantastic and have enormous potential, but they are not miracle solutions, they often lack maturity and they are not better in all situations (i.e. for all use cases). When looking at above examples, you can identify three main reasons, why well-marketed new (hyped) innovations tend to lead to bubbles and destruction of value in certain usages:

  • Generalisation: a new innovation has its domains where the advantages surpass the inconveniences, but typically these domains are much smaller than portraited. When the innovation matures (i.e. resolves some of its inconveniences), these domains can expand, but even then a full widespread usage (for all uses cases) is going to be unlikely.

  • Lack of business model: many innovations are super-interesting and might interest a large audience as long as they remain free. Often the business added-value is however not large enough for customers to actually pay for it. This means the innovation can achieve large adoption, but as soon as the company behind it needs to become profitable (meaning charging money), it becomes problematic.

  • Losing track of the customer’s needs: often people tends to lose the customer’s needs when working with exciting new technological evolutions. A technology should always remain a means to an end and not an end in itself. E.g. blockchain or AI/ML should be technologies which are under the hood and which are used to solve certain technological issues, but should not be an objective in itself. Therefore companies should always start with the question "What does the customer want?" and only then pose the question "Which technology can I use best to solve this?" (and not the other way around).

Therefore it is my belief, that innovations should not be oversold and that it is good to be skeptical about new evolutions. Often in an innovative company, it is however considered as unproductive and old-fashioned to be skeptical about new innovations, but instead you are forced to be positive and embrace any new innovations.
In my opinion however, an innovative company is a company that identifies new innovations, but also looks at them in-depth and in a critical way to identify all strengths and weaknesses and determine if and where the new innovation can give (the most) added-value. By identifying the weaknesses of new innovations, the optimal usage can best be identified and opportunities can be unlocked (typically by providing a solution to solve or avoid these weaknesses).

In fact a new innovation will only become truly a success when it results in an increased convenience compared to existing products, services or technologies. This increased convenience is something that should directly improve the life of the customer, i.e. normally this is something that checks one or more of those boxes:

  • Cheaper

  • Faster

  • Better quality

  • Better service

  • Better user experience in the acquisition

Often innovations are however sold by emphasizing improvements, which indirectly improve the life of the customer, i.e. qualities where the impact is not immediately visible or not directly impacting the customer, e.g.

  • More sustainable

  • Healthier

  • More ecological

  • Better privacy

  • Less lock-in or dependency (e.g. due to decentralization)

  • …​

Although such indirect improvements might be sufficient and convincing for early adopters, the masses want direct advantages. The main focus of every innovative company should be therefore to transform its innovation in such a way that there is also at least one  directconvenience improvement associated with their innovation.

Comments

  1. Hi admin,
    If we discuss new innovations then I must say the Internet of things is a great innovation. It is actively shaping businesses and consumer trends. And this innovation will never be old.

    ReplyDelete

Post a Comment

Popular posts from this blog

Transforming the insurance sector to an Open API Ecosystem

1. Introduction "Open" has recently become a new buzzword in the financial services industry, i.e.   open data, open APIs, Open Banking, Open Insurance …​, but what does this new buzzword really mean? "Open" refers to the capability of companies to expose their services to the outside world, so that   external partners or even competitors   can use these services to bring added value to their customers. This trend is made possible by the technological evolution of   open APIs (Application Programming Interfaces), which are the   digital ports making this communication possible. Together companies, interconnected through open APIs, form a true   API ecosystem , offering best-of-breed customer experience, by combining the digital services offered by multiple companies. In the   technology sector   this evolution has been ongoing for multiple years (think about the travelling sector, allowing you to book any hotel online). An excelle...

Are product silos in a bank inevitable?

Silo thinking   is often frowned upon in the industry. It is often a synonym for bureaucratic processes and politics and in almost every article describing the threats of new innovative Fintech players on the banking industry, the strong bank product silos are put forward as one of the main blockages why incumbent banks are not able to (quickly) react to the changing customer expectations. Customers want solutions to their problems   and do not want to be bothered about the internal organisation of their bank. Most banks are however organized by product domain (daily banking, investments and lending) and by customer segmentation (retail banking, private banking, SMEs and corporates). This division is reflected both at business and IT side and almost automatically leads to the creation of silos. It is however difficult to reorganize a bank without creating new silos or introducing other types of issues and inefficiencies. An organization is never ideal and needs to take a numbe...

RPA - The miracle solution for incumbent banks to bridge the automation gap with neo-banks?

Hypes and marketing buzz words are strongly present in the IT landscape. Often these are existing concepts, which have evolved technologically and are then renamed to a new term, as if it were a brand new technology or concept. If you want to understand and assess these new trends, it is important to   reduce the concepts to their essence and compare them with existing technologies , e.g. Integration (middleware) software   ensures that 2 separate applications or components can be integrated in an easy way. Of course, there is a huge evolution in the protocols, volumes of exchanged data, scalability, performance…​, but in essence the problem remains the same. Nonetheless, there have been multiple terms for integration software such as ETL, ESB, EAI, SOA, Service Mesh…​ Data storage software   ensures that data is stored in such a way that data is not lost and that there is some kind guaranteed consistency, maximum availability and scalability, easy retrieval...

IoT - Revolution or Evolution in the Financial Services Industry

1. The IoT hype We have all heard about the   "Internet of Things" (IoT)   as this revolutionary new technology, which will radically change our lives. But is it really such a revolution and will it really have an impact on the Financial Services Industry? To refresh our memory, the Internet of Things (IoT) refers to any   object , which is able to   collect data and communicate and share this information (like condition, geolocation…​)   over the internet . This communication will often occur between 2 objects (i.e. not involving any human), which is often referred to as Machine-to-Machine (M2M) communication. Well known examples are home thermostats, home security systems, fitness and health monitors, wearables…​ This all seems futuristic, but   smartphones, tablets and smartwatches   can also be considered as IoT devices. More importantly, beside these futuristic visions of IoT, the smartphone will most likely continue to be the cent...

PSD3: The Next Phase in Europe’s Payment Services Regulation

With the successful rollout of PSD2, the European Union (EU) continues to advance innovation in the payments domain through the anticipated introduction of the   Payment Services Directive 3 (PSD3) . On June 28, 2023, the European Commission published a draft proposal for PSD3 and the   Payment Services Regulation (PSR) . The finalized versions of this directive and associated regulation are expected to be available by late 2024, although some predictions suggest a more likely timeline of Q2 or Q3 2025. Given that member states are typically granted an 18-month transition period, PSD3 is expected to come into effect sometime in 2026. Notably, the Commission has introduced a regulation (PSR) alongside the PSD3 directive, ensuring more harmonization across member states as regulations are immediately effective and do not require national implementation, unlike directives. PSD3 shares the same objectives as PSD2, i.e.   increasing competition in the payments landscape and en...

Trade-offs Are Inevitable in Software Delivery - Remember the CAP Theorem

In the world of financial services, the integrity of data systems is fundamentally reliant on   non-functional requirements (NFRs)   such as reliability and security. Despite their importance, NFRs often receive secondary consideration during project scoping, typically being reduced to a generic checklist aimed more at compliance than at genuine functionality. Regrettably, these initial NFRs are seldom met after delivery, which does not usually prevent deployment to production due to the vague and unrealistic nature of the original specifications. This common scenario results in significant end-user frustration as the system does not perform as expected, often being less stable or slower than anticipated. This situation underscores the need for   better education on how to articulate and define NFRs , i.e. demanding only what is truly necessary and feasible within the given budget. Early and transparent discussions can lead to system architecture being tailored more close...

Low- and No-code platforms - Will IT developers soon be out of a job?

“ The future of coding is no coding at all ” - Chris Wanstrath (CEO at GitHub). Mid May I posted a blog on RPA (Robotic Process Automation -   https://bankloch.blogspot.com/2020/05/rpa-miracle-solution-for-incumbent.html ) on how this technology, promises the world to companies. A very similar story is found with low- and no-code platforms, which also promise that business people, with limited to no knowledge of IT, can create complex business applications. These   platforms originate , just as RPA tools,   from the growing demand for IT developments , while IT cannot keep up with the available capacity. As a result, an enormous gap between IT teams and business demands is created, which is often filled by shadow-IT departments, which extend the IT workforce and create business tools in Excel, Access, WordPress…​ Unfortunately these tools built in shadow-IT departments arrive very soon at their limits, as they don’t support the required non-functional requirements (like h...

An overview of 1-year blogging

Last week I published my   60th post   on my blog called   Bankloch   (a reference to "Banking" and my family name). The past year, I have published a blog on a weekly basis, providing my humble personal vision on the topics of Fintech, IT software delivery and mobility. This blogging has mainly been a   personal enrichment , as it forced me to dive deep into a number of different topics, not only in researching for content, but also in trying to identify trends, innovations and patterns into these topics. Furthermore it allowed me to have several very interesting conversations and discussions with passionate colleagues in the financial industry and to get more insights into the wonderful world of blogging and more general of digital marketing, exploring subjects and tools like: Search Engine Optimization (SEO) LinkedIn post optimization Google Search Console Google AdWorks Google Blogger Thinker360 Finextra …​ Clearly it is   not easy to get the necessary ...

The UPI Phenomenon: From Zero to 10 Billion

If there is one Indian innovation that has grabbed   global headlines , it is undoubtedly the instant payment system   UPI (Unified Payments Interface) . In August 2023, monthly UPI transactions exceeded an astounding 10 billion, marking a remarkable milestone for India’s payments ecosystem. No wonder that UPI has not only revolutionized transactions in India but has also gained international recognition for its remarkable growth. Launched in 2016 by the   National Payments Corporation of India (NPCI)   in collaboration with 21 member banks, UPI quickly became popular among consumers and businesses. In just a few years, it achieved   remarkable milestones : By August 2023, UPI recorded an unprecedented   10.58 billion transactions , with an impressive 50% year-on-year growth. This volume represented approximately   190 billion euros . In July 2023, the UPI network connected   473 different banks . UPI is projected to achieve a staggering   1 ...

AI in Financial Services - A buzzword that is here to stay!

In a few of my most recent blogs I tried to   demystify some of the buzzwords   (like blockchain, Low- and No-Code platforms, RPA…​), which are commonly used in the financial services industry. These buzzwords often entail interesting innovations, but contrary to their promise, they are not silver bullets solving any problem. Another such buzzword is   AI   (or also referred to as Machine Learning, Deep Learning, Enforced Learning…​ - the difference between those terms put aside). Again this term is also seriously hyped, creating unrealistic expectations, but contrary to many other buzzwords, this is something I truly believe will have a much larger impact on the financial services industry than many other buzzwords. This opinion is backed by a study of McKinsey and PWC indicating that 72% of company leaders consider that AI will be the most competitive advantage of the future and that this technology will be the most disruptive force in the decades to come. Deep Lea...