Mostrando entradas con la etiqueta innovación. Mostrar todas las entradas
Mostrando entradas con la etiqueta innovación. Mostrar todas las entradas

domingo, 15 de julio de 2018

Shouldn't we be investing more in quantum computing? (by @azeem )

Exponential View #174 – Dept of quantum computing

BCG report

Given the large potential of quantum computing, the actual investment levels are low (with one exception, see at the end of this). We reckon, from a rough LinkedIn count, that fewer than 2,000 people are involved in companies working in any part of the quantum stack (and that includes all the marketing and PR types attached to these groups in large companies). IBM Q, which runs a developer ecosystem via the IBM Quantum Experience API, should have the deepest team. My scan on LinkedIn (far from perfect) shows only 300-or-so names attached to quantum computing in all of IBM. The startups are of similar scale, Rigetti, numbering less than 150. 
Some estimates go beyond this. There are 7,000 researchers working on quantum computing around the world, a more healthy but still small number, according to the European Commission. 
The venture dollars flowing intro quantum computing is small with D-Wave ($175m), Rigetti ($70m), Cambridge Quantum Computing ($50m) and IonQ ($20m) leading the pack. The European Commission further estimates that total global annual investment in quantum research is some €1.5bn per annum. (Deloitte has further estimates: suggesting that there is about $2.2bn investments globally by governments in quantum computing.) 
So quantum computing is Schrodinger’s opportunity, simultaneously here and not here at the same time. 
On the one hand, quantum computing is getting all the accoutrements of a technology close to maturity (press briefings, Gartner reports, analysis from investment banks and management consultancies) and the large tech firms are trumpeting working systems within 5 years. 
On the other, investment levels are tiny by the standards of what large companies can put to work, or what VCs invest (Wag, a dog-walking app, recently raised $300m.) This suggests that these smart investors are discounting the potential upside very heavily, i.e. there are many hurdles, which these investors cannot easily enumerate, to overcome or the time frame to realise is very long.
Which is it? Close to maturity or facing a long journey? 

Only two years ago, I was pretty sceptical about where quantum computing was in its cycle. And as Jerry Neumann points out, quantum computing was only “five years away” back in 2000, so quantum could be one of those technologies, like controllable fusion, that is always just around the corner.

sábado, 14 de julio de 2018

Global Innovation Index 2018 (by @WIPO )

Global Innovation Index 2018




The 2018 edition of the GII reveals that China broke into the world’s top 20 most-innovative economies as Switzerland retained its number-one spot.

Rounding out the GII 2018 top five: the Netherlands, Sweden, the United Kingdom, and Singapore. 

A group of middle and lower-income economies perform significantly better on innovation than their level of development would predict: Sub-Saharan Africa, for example, boasts six innovation over-achievers, including Kenya, Rwanda and South Africa.

domingo, 8 de abril de 2018

sábado, 7 de abril de 2018

How Artificial Intelligence Is Reshaping Commerce (by @cbinsights )


 Retail’s Adapt-Or-Die Moment: How Artificial Intelligence Is Reshaping Commerce
"Traditional and new-school retailers alike are using AI and robotics to automate various parts of the retail chain, from manufacturing to last-mile delivery."
Despite the rise of AI-based solutions, only a handful of traditional brands have been effectively implementing AI strategies to drive business efficiency. 
But AI is reshaping the retail workforce — from manufacturing to last-mile logistics — and players across the retail ecosystem will have to adapt to stay relevant. 
Tech giants like Alibaba and Amazon continue to push the boundaries, applying AI to retail and amassing massive consumer datasets. Recently, Alibaba announced that it is spending $15B on quantum computing, AI, and other technologies. 
Smaller startups are also seeing an opportunity here and seizing it. For example, Swedish startup Soundots recently raised $4M to democratize the “cashierless store” automation solution, helping retailers achieve something similar to Amazon’s Go stores.

domingo, 18 de marzo de 2018

A Look at How Technology is Reshaping the Global Economy (by @maxmarmer )

 via medium – The Industrial Era jobs and institutions decline towards death and the Information Era matures and blooms. The decline of the Industrial Era may have been subtler, and easy to ignore in years past.

The global economy as a whole will also be in precarious place if Information Era companies do not continue to produce accelerating growth. While we’ve nominally been in recovery since 2009, much of the expansion has been enabled by unprecedented levels of debt created by Central Banks around the world. Sky high debt levels across consumers, corporations and countries, are all being buoyed by historically low interest rates. Wealth inequality is rising fast and geopolitical tensions are heating up. We’ve been blessed by very low volatility the last few years, but we also are in many ways dependent on it.

Technology companies continue to become a bigger percentage of the world economy. They have overtaken Oil and Gas companies to become the largest public companies in the world, the private market is bursting with billion dollar unicorn valuations unseen before in history, and many non-technological industries are either dying at its hands or becoming one with it.

Some of this technological future will come from large companies, but by and large these large companies still haven’t figured out how to reliably create disruptive innovation. Their role in the innovation landscape is predominantly as acquirers, where they grow acquired products, applying their capacity for efficiency and scale.

An essential orienting frame for understanding the current state of the world, is that we are at a point of criticality. A liminal space between eras. The old world Industrial order is breaking down, and the new Information world order is in the process of taking over. This transition period is one of opposing forces of exponential creation and exponential destruction.

In the forthcoming era of technological disruption the need for a robust social safety net will be paramount.


worth reading, I'd recommend max. attention ;-)

martes, 13 de marzo de 2018

eHealth Market worth 132.35 Billion USD by 2023

 via @marketsmarkets According to latest research report "eHealth Market by Product (EHR, PACS & VNA, RIS, LIS, CVIS, Telehealth, eRx, HIE, Patient Portal, Medical Apps), Services (Remote Patient Monitoring, Diagnostic Services) End User (Hospitals, Home Healthcare, Payers, Pharmacy) - Global Forecast to 2023", is expected to reach USD 132.35 Billion by 2023 from USD 47.60 Billion in 2018, at a CAGR of 22.7%.

Factors driving market growth include the regulatory mandates and government initiatives for the implementation of eHealth solutions; growing mHealth, telehealth, and remote patient monitoring markets (prevalence of chronic diseases); and increasing need to curtail the escalating healthcare costs. In addition, the emerging market in China, India, and Australia; rising shift towards patient-centric healthcare delivery; and growing use of eHealth solutions in outpatient care facilities are further increasing the demand for eHealth solutions and services given shortage of healthcare professionals, and rising usage of big data.







Some of the key players in the eHealth market are:
GE Healthcare (US),
Cerner (US),
McKesson (US),
Allscripts (US),
Philips (Netherlands),
Siemens Healthineers (Germany),
athenahealth (US),
Epic Systems (US),
IBM (US), Optum (US),
Medtronic (Ireland),
Cisco (US).

The eHealth market in this report is segmented on the basis of product & service and end user. This report also provides market information on major regional segments, namely, North America, Europe, Asia Pacific, and the Rest of the World.


By products and services, the eHealth solutions segment dominated the eHealth market in 2017
The EMR/EHR solutions segment accounted for the largest share of the eHealth solutions market in 2017. Supportive government initiatives for EMR implementation across the globe, growing consolidation among healthcare providers, rise in digital and connected healthcare technologies, and increased government incentives are the key factors supporting the growth of this market.

The remote monitoring services segment dominated the eHealth services market in 2017. The large share of this market is mainly attributed to the rising prevalence of chronic diseases and lifestyle disorders, increasing geriatric population, and high preference for home healthcare and rehabilitation due to the convenience of the services.


By end user, healthcare consumers are expected to register the highest CAGR during the forecast period
Based on end user, the global eHealth market is segmented into healthcare providers, healthcare payers, healthcare consumers, pharmacies, and other end users. Healthcare consumers are expected to register the highest CAGR during the forecast period. The growth in this end-user segment can be attributed to the factors such as the increasing number of people requiring remote patient monitoring, rising demand for personalized care, and high penetration of digital technologies in the healthcare industry.


North America dominated the market in 2017
In 2017, North America dominated the global eHealth market. The growth in this market can mainly be attributed to the strong IT infrastructure in the region, increasing investments and regulatory mandates favoring the implementation of eHealth solutions, presence of large healthcare IT companies, and rising utilization of remote patient monitoring solutions and services for the management of prevalent chronic diseases and lifestyle disorders. The Asia Pacific region is expected to grow at the highest CAGR during the forecast period. High growth in the Asia Pacific region is largely driven by government investments & reforms to modernize healthcare systems, rising medical tourism, implementation of eHealth programs, and increasing per capita income in this region.

However, factors such as reluctance among medical professionals to adopt advanced eHealth solutions and high-cost of deployment and maintenance of eHealth solutions are likely to hinder the growth of the global eHealth market to some extent.


Years considered for this report
2017 – Base Year
2018 – Estimated Year
2023 – Projected Year


Global eHealth Market, By Type

eHealth Solutions
  • EHR/EMR Solutions
  • Picture Archiving and Communication Systems & Vendor Neutral Archive
  • Radiology Information Systems
  • Laboratory Information Systems
  • Cardiovascular Information Systems
  • Pharmacy Information Systems
  • Other Specialty Information Systems
  • Telehealth Solutions
  • E-Prescribing Solutions
  • PHR & Patient Portals
  • Clinical Decision Support Systems
  • Health Information Exchange Solutions
  • Chronic Care Management Apps
  • Medical Apps

eHealth Services
  • Remote Monitoring Services
  • Diagnosis & Consultation Services
  • Healthcare Systems Strengthening Services
  • Treatment Services
  • Database Management Services


Global eHealth Market, By End User
Healthcare Providers
  • Hospitals
  • Ambulatory Care Centers
  • Home Healthcare Agencies, Nursing Homes, and Assisted Living Centers
Payers
Healthcare Consumers
Pharmacies
Other End Users


Global eHealth Market, by Region
North America
  • US
  • Canada

Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • Rest of Asia Pacific

Rest of the World
  • Latin America
  • Middle East and Africa



domingo, 4 de marzo de 2018

How To Become A Centaur (by @ncasenmare)

 AIs are best at choosing answers. Humans are best at choosing questions.
via @mit_jods How To Become A Centaur by Nicky Case

…we’ve told ourselves that our relationship between ourselves and our AI is like a chess game: 
Zero-sum — one player’s win is another player’s loss.

They invited all kinds of contestants — supercomputers, human grandmasters, mixed teams of humans and AIs — to compete for a grand prize.2
Not surprisingly, a Human+AI Centaur beats the solo human. But — amazingly — a Human+AI Centaur also beats the solo computer.

This is because, contrary to unscientific internet IQ tests on clickbait websites, intelligence is not a single dimension. (The “g factor”, also known as “general intelligence”, only accounts for 30-50% of an individual’s performance on different cognitive tasks.3 So while it is an important dimension, it’s not the only dimension.) For example, human grandmasters are good at long-term chess strategy, but poor at seeing ahead for millions of possible moves — while the reverse is true for chess-playing AIs. And because humans & AIs are strong on different dimensions, together, as a centaur, they can beat out solo humans and computers alike.

Now, not only does pairing humans with AIs solve a technical problem — how to overcome the weaknesses of humans/AI with the strengths of AI/humans — it also solves that moral problem: how do we make sure AIs share our human goals and values?
And it’s simple: if you can’t beat ‘em, join ‘em!

The rest of this essay will be about AI’s forgotten cousin, IA: Intelligence Augmentation. The old story of AI is about human brains working against silicon brains. The new story of IA will be about human brains working with silicon brains. As it turns out, most of the world is the opposite of a chess game:
Non-zero-sum — both players can win.

…I’ll show how humans are already working with AIs in various fields, from art to engineering. And finally, I’ll give some rough ideas on how you can design a good partnership with an AI — how to become a centaur. 
Together, humans and AI can go from “checkmate”, to “teammate”.

Over the next few decades, the wonders in The Mother of All Demos slowly reached the public. The personal computer gave ordinary people the power of computing, something only governments and big corporations could afford previously. A particle physics lab in Switzerland released a little thing called the “World Wide Web”, which let people share knowledge using things called “web pages”, and people could even create connections between pieces of knowledge using something called a “hyperlink”.

Steve Jobs once called the computer a bicycle for the mind. Note the metaphor of a bicycle, instead of a something like a car —a bicycle lets you go faster than the human body ever can, and yet, unlike the car, the bicycle is human-powered. (Also, the bicycle is healthier for you.) The strength of metal, with a human at its heart. A collaboration — a centaur.




Doug Engelbart envisioned that the computer would be a tool for intellectual and artistic creativity; now, our devices are designed less around creation, and more around consumption. Forget AI not sharing our values — even non-AI technology stopped supporting our values, and in some cases, actively subverts them.7
We hoped for a bicycle for the mind; we got a Lazy Boy recliner for the mind.

When you create a Human+AI team, the hard part isn’t the “AI”. It isn’t even the “Human”. 
It’s the “+”.
Human nature, for better or worse, doesn’t change much from millennia to millennia. If you want to see the strengths that are unique and universal to all humans, don’t look at the world-famous award-winners — look at children. Children, even at a young age, are already proficient at: intuition, analogy, creativity, empathy, social skills. Some may scoff at these for being “soft skills”, but the fact that we can make an AI that plays chess but not hold a normal five-minute conversation, is proof that these skills only seem “soft” to us because evolution’s already put in the 3.5 billion years of hard work for us.

And if you want to see the weaknesses of humans, go to school. This is the stuff that’s hard for human intelligences, and requires years of training to gain even a basic competency: arithmetic, computation, memory, logic, numeracy. Note that these are all things your phone can do better and faster than the smartest human alive. (And we wonder why kids feel school is meaningless…)

AIs choose answers. Humans choose questions. And given all the possibilities, the promises and pitfalls of technology in the coming decades, the next question for us humans to choose is:
What’s next?

Meanwhile, the story of IA has been one of a tragic fall. Starting out strong with Doug Engelbart’s Mother of All Demos, the idea of IA has slowly been forgotten, as technology shifted from tools for creation and more towards tools for consumption. Someone stole the wheels off the bicycle for our mind.

But now, these two story threads may be starting to wrap together, forming a new braid in history: AIA — Artificial Intelligence Augmentation.8 IA can give AI the human partnership it needs in order to remain aligned with our deepest goals and values. And in return, AI can give IA some new replacement wheels for the bicycle of our mind.

I’d like to tell you what the future holds. But if you tell someone something good is inevitable, it can cause self-defeating complacency — and if you tell someone something bad is inevitable, it can cause self-fulfilling despair.
Besides, answers are for AIs. As a human, you deserve questions.

Symbiosis shows us you can have fruitful collaborations even if you have different skills, or different goals, or are even different species.  Symbiosis shows us that the world often isn’t zero-sum — it doesn’t have to be humans versus AI, or humans versus centaurs, or humans versus other humans. Symbiosis is two individuals succeeding together not despite, but because of, their differences. Symbiosis is the “+”. 
A new chapter in humanity’s story is beginning, and we — living together — get to write what happens next.

sábado, 17 de febrero de 2018

How Likely Is Your Industry to Be Disrupted? (via @HarvardBiz)

 “Nothing in life is to be feared; it is only to be understood” ~Marie Curie, who was awarded the Nobel Prize in Physics in 1903 and in Chemistry in 1911, had that point of view which would serve today’s business leaders well.
Understanding where your industry sits in terms of its susceptibility to disruption will help you make momentous strategic choices. The right time to start taking control of your unique state of disruption is now.

How Likely Is Your Industry to Be Disrupted? This 2x2 Matrix Will Tell You



In the durability state, companies must actively reinvent their legacy business rather than focus on preserving it. This means taking steps to both maintain cost leadership in their core business while also running extensive experiments to increase relevance — for example, by making key offerings not only cheaper but also better for their customers. 
Those in the vulnerability state must address productivity challenges in their legacy businesses right away and thoroughly to get in shape for future innovations (their own or competitors’). One way is by reducing dependence on fixed assets. Another is by taking underused assets and monetizing them. Leading independent power producers, for example, have begun to deploy asset-light, platform-based business models. 
For companies in the volatility state, decisively changing the current course is the only way to survive. Rather than simply abandoning the core business, companies will need to strike a delicate balance when making corporate and financial restructuring moves. 
Companies in the viability state must embrace strategies that keep them in a constant state of innovation. This involves increasing the penetration of innovative offerings with existing customers while expanding aggressively into adjacent or entirely unchartered markets by leveraging the strength of their core business. 


domingo, 4 de febrero de 2018

9 frameworks to master Product Management (by @firstround)

 #mustread … The best companies are most often built by extraordinary product minds. Even if you’re not a PM right now, you can benefit from adopting the habits and strategies that make talented PMs successful.

17 Product Managers Who Will Own the Future of NYC Tech — and the 9 Frameworks They’ll Use to Do It | First Round Review

Absolute must read

1. Getting into the PM Mindset
A good PM fills in the gaps and gets out of the way.
Prioritization becomes critical. 
Significance = Magnitude x Number of People Impacted
where magnitude is a measure of how frustrating/painful/unbearable the problem being solved is.
A magnitude 1 problem might cause mild annoyance, whereas a magnitude 3 problem might cause show-stopping frustration and anger.

Continually question whether the tactic you’re trying creates more friction than the original problem. If the answer is yes, immediately shift course.


2. Figuring Out When to Build What
-Time-Based Risk: when a competitor has launched a new version of its product that its customers don’t like as much, that would give you a time-window.
-Building Blocks First: the other follow-up question you should always ask is “How many other projects depend on this thing?”


3. Turning Product Vision into an Executable Strategy
-Structure your vision wisely.
-Create 2-3 objectives that move you toward that vision.
-Place bets under each objective.

Following this template, you end up with a quarterly roadmap that has every action and each person’s work closely connected with the company’s direction and purpose.


4. Effective Stakeholder Communication
Group 1: Executives and leadership
Do...
-Send presentations, decks and other materials before every meeting.
-Validate every decision with data.
-Be specific about the executives' desired participation.
-Take notes and close the loop.
-Send high-level updates right after each meeting with action items.
Don’t...
-Go into too much detail.
-Surprise anyone with bad news. If the news is bad, reach out to folks 1:1 in advance.
-Show up unprepared.
-Ignore room dynamics.

Group 2: Your own team
Do...
-Leverage efficient daily stand-ups.
-Review strategy/roadmaps regularly.
-Record and send out notes on key decisions and actions.
-Reward team members often, tell anecdotes about customer pain points that were alleviated.
Don’t...
-Make decisions without engineering and design.
-Send action items/requests without talking about them first, 1:1 or stand-up.
-Forget to update folks on roadmap or specs changes, particularly important after meeting with execs.

Group 3: Internal and external partners
Do...
-Exhibit detailed understanding of their work and domain.
-Use the right format at the right time with the right audience.
-Leverage your teammates. Bring in engineering leads.
-Gently and continuously educate them. Partners sometimes don’t know the consequences of their actions.
-Build relationships outside of work meetings.
-Create transparency. Don’t rely on others to communicate to everyone.
Don’t...
-Forget who to loop in at what stage.
-Make stakeholders feel ignored.
-Forget you have more insight than anyone else. Stakeholders don’t see your roadmap.
-Allow meetings to end without clarity.
-Forget to educate about timelines and tradeoffs.

Group 4: Customers
Do...
-Always start with the user problem. Ask why and understand the journey that creates that pain point.
-Keep, what’s important to them, top of mind.
-Treat email copy as a part of the product experience.
-Generate empathy for yourself by reading through user feedback, attending user studies in person…
Don’t...
-Leave product communications/messaging to the last minute. *Start with this, don’t end with it.
-Assume marketing will position the product themselves.
-Leave customer success in the dark about launch.
-Believe internal products require no roll out.


5. Create Compelling Product Messaging
Start with one question:
What superpower do you want to give your user? For example, the iPhone lets us navigate to unknown places wherever we are in the world. As a PM, it’s your job to ensure the entire team knows the story you’re trying to create for your users. *This should come first in your development process, not last.
Will Carlin’s 5 C’s framework comes in hand for telling strong stories (your goal should be to craft a story around a single user — not a group of users).
-Context: Establish the setting and identity of the user you’re talking to.
-Conflict: The problem your product attempts to solve for that user.
-Conflict Escalation: Really visualize what it’s like for a user to encounter this problem. Draw out the emotions tied to the pain point and solutions that have been tried but failed. Really feel and describe the frustration, disappointment, etc.
-Climax: Your product is introduced — what changes for the user?
-Conclusion: Detailed description of the improvement in the user’s life.

Use this framework to create a story about your product. Remember, no matter what you do, different versions of your story will emerge once it launches. To win, craft the story that is closest and most personal to your user. The more emotionally resonant it is, the more it will drown out competing perspectives.


6. Build Your Best Product Team
You have to hire people who aren’t just talented, but who are perfect for your particular business.
Develop a strategic hiring plan by determining who on your existing team should be a part of the hiring process (all relevant folks the role will interface with), and the concrete steps every candidate will take between application and hire.
-Build a strategic hiring plan.
-Define key competencies
-Standardize your assessment of competencies.
Running this exercise is time intensive. You have to run several voting rounds to arrive at competencies, questions for each competence, and then the best and worst responses to each question. Sounds like a lot, but it’s incredibly worth it to have a standardized approach created collaboratively — one that can be recycled and reused again and again as hiring picks up pace.


7. Scale Yourself as a Product Leader
PMs should focus on scaling in four areas: decision making, velocity, collaboration and empowerment.

Decision making starts to slow down and crack at a certain point of growth. The warning sign is too many cooks in the kitchen and slowed pace. The antidote is the DACI framework:
-Driver: The one person responsible for the project who drives process and keeps everyone aligned.
-Approver: The person who approves the proposal/recommendation for the project.
-Contributors: People working on the project team, providing input, producing work, etc.
-Informed: People kept in the loop about the project and results, but not contributing.

Velocity of work starts to slow down as tech debt accumulates and teams grow. To fix it, create durable teams around durable problems. To avoid scope creep and last-minute design changes, Chang recommends the following product development process:
-Goal definition: Everyone included in your DACI framework should come together and emerge with a singular goal for the product.
-Product definition: Align on scope of the project and what will be required to solve the problem at hand. What is and isn’t out of scope?
-Design review: Be explicit about the type of feedback you want and don’t want.
-Tech review: Make sure everyone has a chance to debate and buy into the technical approach.
-Go/no-go: Review your checklist to make sure the rest of the org is operationally ready for a product/project launch — i.e. customer service has the bandwidth to answer questions, etc.

Collaboration starts to break at a certain company size. Free people up and fuel effective collaboration with these three moves:
-Make your product roadmap and product docs accessible to the entire company.
-Hold Gate Meetings to force decisions that must be made to proceed.
-Send decision emails to communicate to all possible stakeholders when big decisions have been made and why.

Empowerment at scale becomes important when teams get so big that people feel like they’re just executing on other people’s orders. Several strategies to combat this are:
-Present options instead of a firm decision.
-Start milestone meetings with a background share.


8. Drive Product Development with Data
PMs use data to align stakeholders with roadmaps, track efficacy of what's been built, and prioritize what to build next.
-You have to gather implicit data. Stop making excuses. If you don’t, you’ll have no real visibility into how users will react to new features. These can be little experiments, like seeing if someone will click on a link.
-Don’t underestimate the importance of explicit data. Protect yourself against this by taking in qualitative feedback shared directly by your users.
-Always go to your customers when you observe them. see how people are using your product in their natural habitat. If they’ve developed any workarounds, take special note.
-Find the right users for your questions. At B2B companies, product managers often find themselves engaging with the C-suite at their customers. Determine who is the most relevant user of your product, and pose the questions to them directly.
-Find a meaningful metric for your performance. Net Promoter Score is a common choice, but that’s not universally appropriate. You could augment it with a Customer Effort Score —a measure of whether the company made it easier to perform certain tasks.


9. Going from PM to Founder
In many ways, product management is the ideal springboard for founders. It’s a position that affords you opportunities to go deep in areas that will serve you when running your own business, like:
-negotiation
-P&L and forecasting
-legal-
-hiring
-operations

But before you can get into all of that, you need to be sure you’re choosing the right idea to work on.
How do you know if an idea is worth pursuing? Evaluate each one according to Marty Cagan’s Four Big Risks:
-Value: Do people want this? When you talk to prospective users, do they see value in what you’re building?
-Usability: Can people figure your solution or product out intuitively?
-Feasibility: Can you and an eventual team build what you have in mind within a realistic time frame with the resources you can realistically get?
-Viability: Is there a clear business model and path to making money?
Before you set out after an idea, make sure you can check each of these boxes and confidently explain your answers to each of these questions to possible investors.

sábado, 3 de febrero de 2018

¿Ha mutado la economía colaborativa en un capitalismo salvaje de plataformas?

 este artículo en El Mundo me ha hecho recordar esta otra entrada en el blog en base a un artículo de HBR.
Es un tema sobre el que ya he tenido alguna conversación, siempre defendiendo que compàrtido no me parece exactamente lo que se vende muchas veces… y que merece una reflexión.
En cualquier caso merece la pena una leída…
¿Ha mutado la economía colaborativa en un capitalismo salvaje de plataformas? – El Mundo - economia/empresas

sábado, 20 de enero de 2018

Innovation Metrics vs Execution Metrics (by @strategyzer)

 established companies frequently apply execution metrics--metrics designed to manage the existing business--to innovation projects. … How you measure results for a known and proven business model or value proposition substantially differs from how you measure progress in an innovation project for an unproven potential business model.

Innovation Metrics vs Execution Metrics — Strategyzer

At Strategyzer, we are currently working on an innovation metrics project with three large multinational companies. In the table below we sketch out the challenges these companies face when distinguishing between execution and innovation metrics.

With the table below we want to emphasize that it’s critical for companies to design a set of metrics specifically dedicated to innovation projects.



The most difficult one to “sell” is the mindset that (in innovation projects) the “cost of failure” is a positive investment in learning. In execution, the “cost of failure” is just a bad thing.

lunes, 15 de enero de 2018

18 cambios exponenciales en tecnología que nos esperan en 2018 (de @techreview_es)

 by @azeem Azhar los 18 cambios exponenciales en tecnología en 2018 | MIT Technology Review en Español


1. Las relaciones internacionales, la economía y la política necesitarán desesperadamente nuevas medidas para adaptarse a la revolución digital 
2. Si bien Silicon Valley lidera el sector, la innovación y la escala de negocios se producen cada vez más en otra partes del mundo 
3. Crecerá el flujo de dinero hacia la tecnología, pero se concentrará en las últimas etapas 
4. El desarrollo de software de inteligencia artificial continuará distanciándose del software tradicional 
5. La inteligencia artificial será la prioridad de inversión en tecnología para las grandes empresas 
6. Vamos a demostrar cada vez más cómo la inteligencia artificial está aumentando las capacidades humanas 
7. La discusión sobre cómo la IA afectará al empleo pasará de centrarse exclusivamente en la eliminación de puestos de trabajo a cuál es la mejor manera de ayudar a los trabajadores a adaptarse a este cambio inevitable 
8. Las criptotecnologías serán más importantes y comenzarán a demostrar su utilidad 
9. Las sórdidas revelaciones sobre la cripto-especulación quedarán olvidadas frente a la gran cantidad de dinero que generan esta clase de activos 
10. KITT, el coche fantástico, seguirá siendo el modelo para los vehículos autónomos 
11. Los servicios de salud se volverán cada vez más interesantes para los emprendedores 
12. Habrá un nuevo ciberataque que sorprenderá en términos de escala o de calidad 
13. Las elecciones de mitad de legislatura de Estados Unidos serán una guerra sistemática de información 
14. La realidad aumentada continuará a fuego lento en lugar de hervir 
15. La publicidad digital ha sido invasiva durante demasiado tiempo, y este año sufrirá 
16. La necesidad de energía de la cripto-minería eclipsará el crecimiento de las energías renovable 
17. La ética impulsará cada vez más las elecciones del consumidor y las estrategias de inversión 
18. Buda, Aristóteles, Hayek y Marx vuelven

domingo, 10 de diciembre de 2017

The Future 100: Trends & Change to Watch in 2018

The Innovation Group presents our snapshot of the year ahead and the most compelling trends to keep on the radar: The Future 100: Trends and Change to Watch in 2018


The Future 100: 2018 - JWT Intelligence



Today, trends scale rapidly through technological change and digital networks. New models of commerce are causing disruption, while technology like augmented reality and 5G are transforming the internet. In food, drink and beauty, nascent trends explode in a nanosecond, thanks to social media. And marketers are navigating a sophisticated landscape where they are assessed on the nuances of their visual language and representation. 



The Future 100 charts 10 emerging trends across 10 sectors, spanning marketing, culture, travel and more. Highlights include: 
Culture: Intersectionality. “Intersectionality” is resurging in popular discourse—both in media outlets trying to reach the highly diverse generation Z, and among diversity chiefs developing employment practices. 
Tech & Innovation: Manufacturing 2.0. From Adidas’s new Speedfactory to Puma, brands are reshaping the factory with advanced rapid-manufacture techniques, creating bespoke products on demand.
Travel & Hospitality: Immersive hospitality. Spooked by stagnant audience figures, film companies are creating immersive hotels in their films’ worlds, like Disney’s Star Wars hotel, launching in 2019.  
Brands & Marketing: Branded audio. First came branded content, then videos. Next, branded audio offers intimate opportunities for brands to connect with audiences in the era of voice. 
Food & Drink: Algorithmic food design. Having revolutionized art and sculpture, algorithms are making inroads in food design, creating unique and Instagram-optimized shapes.
Beauty: New wave men’s grooming. Men’s skincare was one of the year’s most-searched beauty trends. New retailers and design objects reflect a sophisticated clientele moving beyond stereotypes. 
Retail: Hyper-personalized products. The trend towards diagnostic, highly-personalized services is spreading from health to retail, as consumers become comfortable with exchanging personal data for solutions. 
Health: Trippy wellbeing. The latest trend among high performers seeking shortcuts to optimized wellbeing is psychedelic drugs, which are enjoying a popularity not seen since the 1960s.
Luxury: Remote on demand. Services like Blink by Black Tomato offer pop-up travel in remote locations that take personalization to the extreme, as wealthy travelers eschew cookie-cutter experiences.
Lifestyle: Gen Z yellow? New zeitgeist hues for 2018. Like its namesake, Gen Z Yellow is optimistic and gender-neutral. 2018’s new shades will make a colorful impact on our everyday landscape.

viernes, 8 de diciembre de 2017

Should You Bet on What The Wealthy Do Today?

by @WillyBraun along and thoughtful post on where to look in search of innovation.

Should You Bet on What The Wealthy Do Today? – chronicles – Medium

If you look at what the wealthy do… “scale economies and online efficiencies will combine to keep driving prices down within this business model, and entrepreneurs will soon realise that the middle class is a huge market, and so tailor offerings toward it.”

Thus, Hal Varian concluded “a simple way to forecast the future is to look at what rich people have today; middle-income people will have something equivalent in 10 years, and poor people will have it in an additional decade. Think of VCRs, flat-screen TVs, mobile phones, and the like. Today, rich people have chauffeurs. In 10 years or less, middle-income drivers will be able to afford robotic cars that drive themselves, at least in some circumstances”.

The belief in the Varian Rule has certainly driven many VCs to bet heavily on the “on-demand economy”, which tried to replicate the convenience of services dedicated to the ultra wealthy for mainstream consumers.

BUT


The decreased transaction costs, increased convenience and decreased barriers to entry, might increase the market and change the habits of the upper middle class in the megalopolis, but it would be very surprising -all things being equal- if these habits would become international mainstream. It is just too expensive since a large percentage of the costs are not compressible.







I think we should make at least three observations about these discoveries:

  • The Varian Rule seems eventually quite compelling in the light of these generalizations (earlier adopters have a higher social status, and overall, more wealth).
  • These relationship are mere correlations. No causality can be concluded on the basis of available cross-sectional data. In other other words: we cannot know whether earlier adopters innovate because they are richer or if they are richer because they innovate (mostly thanks to an increase of productivity).
  • If you assume that earlier adopters become richer because they innovate (and point 6 could be an indicator of that), the Varian Rule could be (at least partially) invalidated: innovations could not go from the wealthy to the non-wealthy but from the soon-to-be wealthy to the already wealthy (and then to the non-wealthy).


But if we say that the Varian Rule covers only a subsegment of the segment of early adopters, who are the other people to observe?
Opinion Leadership, Diffusion Networks, Weak Ties & Change Agents



If we try to summarize all of this and develop our understanding of diffusion of innovation, we shall say that: opinion leaders are super effective in bringing behavior change and diffusing innovations. They can be rich. But they not always are. They are the people to observe closely.




CONCLUSION
  • Research traditions indicate that the main challenge for a given innovation to become mainstream, is to cross the chasm from the early adopters to the early majority. When the chasm is crossed, you reach a critical mass (tipping point).
  • -Research suggests that, overall, innovators and early adopters are wealthy, so it can be a good idea to just observe what the wealthy do to predict future usages.
  • -Yet, innovations and early adopters might only become wealthy by their use of innovations (increased productivity & economic attraction), which has been the case for many innovations brought to the market “by the street”. So solely focusing on the wealthy would NOT allow to fully predict future usages (it would be only partial).
  • -Observing the wealthy, as suggested by the Varian Rule, is especially a good idea when the products and services can become significantly cheaper through technology, at a fast pace (which would explain why VCs focus on scalability and on products and services where marginal costs can be very low).
  • -To make sure not to miss an innovation, we should observe opinion leaders (and many rich people are, so it’s not a pure contradiction of the Varian Rule), the more cosmopolite and mobile they are, the better bridge links they will be. These people are often at the crossroad of many social, economic and cultural systems and often a good way to predict the future.
  • If you apply this topic for VCs, two big questions remain:
  • 1. Should VCs only focus on innovations when they already reach the opinion leaders, or should they also fund products and services before they do (R&D stage or before launch)? Market practices suggest that institutional investors focus on the former (excepting seed & pre-series A investments), especially because the expected value of these investments are higher (higher probability of success).

  • 2. If VCs focus on the innovations that already reached opinion leaders (and started to have some tractions), the other big question is: how to determine which innovations you should bet on? If there is a chasm between the early adopters and the early majority, it’s because many innovations talked about by opinions leaders will never work… But that’s for another post.



domingo, 8 de octubre de 2017

14 metodologías de innovación

 vía @NonoRegaa retuiteando a @Virginiog…
Metodologías innovadoras para crear la empresa del futuro


1. Design Thinking
2. Lean Startup
3. Agile
4. Scrum
5. SAFe
6. Kanban
7. Kaizen
8. JTBD
9. OKR
10. Teoría U
11. Kotter
12. Forth Innovation Method
13. Metodología 3D
14. Design Sprint

Abundance… Why the World Is Better Than Ever & Will Get Better Still

Why the World Is Better Than Ever—and Will Get Better Still


In the last hundred years, we’ve seen the average human life expectancy nearly double, the global GDP per capita rise exponentially, and childhood mortality drop 10-fold.


“In the hands of smart and driven innovators, science and technology take things which were once scarce and make them abundant and accessible to all.”

This means making sure every single person in the world has adequate food, water and shelter, as well as a good education, access to healthcare, and personal freedom. 

This might seem unimaginable, especially if you tend to think the world is only getting worse. But given how much progress we’ve already made in the last few hundred years, coupled with the recent explosion of information sharing and new, powerful technologies, abundance for all is not as out of reach as you might believe.


The Path to Abundance

Eager to create change, innovators armed with powerful technologies can accomplish incredible feats. Kotler and Diamandis imagine that the path to abundance occurs in three tiers: 

  • Basic Needs (food, water, shelter) 
  • Tools of Growth (energy, education, access to information)
  • Ideal Health and Freedom
Many people don’t believe it’s possible to end the persistent global problems we’re facing. However, looking at history, we can see many examples where technological tools have unlocked resources that previously seemed scarce. 

Technological solutions are not always the answer, and we need social change and policy solutions as much as we need technology solutions. But we have seen time and time again, that powerful tools in the hands of innovative, driven change-makers can make the seemingly impossible happen.

domingo, 24 de septiembre de 2017

11 Corporate Habits That Kill Your Company's Innovation Engine (Strategyzer video)

Replay: 11 Corporate Habits That Kill Your Company's Innovation Engine — Strategyzer


  1. Current business model dominate the agenda
  2. One-size-fits-all decision making hurts speed & inventiveness
  3. Insisting on untested and detailed business plans
  4. Opinions and past experience matter more than evidence
  5. Outsourcing customer discovery and testing
  6. Lack of senior leadership participation
  7. Obsession of competitors rather than customers
  8. Predominant focus on technology risk at the expense of other risks
  9. Innovation is career suicide in most organizations
  10. The innovation engine is siloed from the execution engine
  11. Integrate new ideas into the execution engine too qickly 








sábado, 2 de septiembre de 2017

Cuando la carrera cobra más importancia que el destino

~Antoine de Saint-Exupéry; Tierra de los hombres, 1939

"El uso de una herramienta inteligente no te ha convertido en un aburrido técnico. Me parece que esos que tanto se espantan de nuestros progresos confunden el fin con los medios. En efecto, quien siembra con la única esperanza de lograr bienes materiales no logra nada por lo que valga la pena vivir.
La máquina no es un fin.
El avión no es un fin: es una herramienta. Una herramienta como el arado.



Si creemos que la máquina echa a perder al hombre es, tal vez, porque
nos falta un poco de perspectiva para poder emitir un juicio sobre las consecuencias de cambios tan rápidos como los que nos ha tocado vivir.
¿Qué son cien años de historia de la máquina frente a los doscientos mil años de historia del hombre? Acabamos de instalarnos en este paisaje de minas y centrales nucleares. Acabamos de mudarnos a esta nueva casa, que todavía no hemos ni siquiera terminado de edificar. A nuestro alrededor todo ha cambiado muy deprisa: relaciones humanas, condiciones de trabajo, costumbres. Hasta los fundamentos de nuestra psicología se han visto sacudidos. Las palabras separación, ausencia, distancia, regreso, aunque son las mismas, ya no remiten a las mismas realidades. Para aprehender el mundo de hoy usamos un lenguaje creado para el mundo de ayer, y nos parece que la vida del pasado se adecúa mejor a nuestra naturaleza porque responde mejor a nuestro lenguaje.



Cada progreso nos ha alejado un poco mas de unas costumbres que todavía no habíamos tenido tiempo de adquirir,
por lo que somos auténticos emigrantes que aun no han podido fundar su patria.



Todos somos como jóvenes ingenuos que se siguen asombrando frente a juguetes nuevos. Por eso competimos con los aviones: éste sube más alto, ése vuela más rápido. Olvidamos el motivo por el que los hacemos volar. 
La carrera cobra más importancia que el destino,
y siempre ocurre lo mismo. Para el infante del ejército colonizador que funda un imperio, el sentido de la vida es conquistar. El soldado desprecia al colono, pero ¿acaso esa conquista no se lleva a cabo para que el colono pueda afincarse? Del mismo modo, al exaltar nuestros progresos, nos servimos de los hombres para trazar vías férreas, para erigir fábricas, para perforar pozos de petróleo. Casi habíamos olvidado que hacíamos esas obras para que sirvieran a los hombres. Durante la conquista nuestra moral fue una moral de soldados, pero ahora tenemos que colonizar, tenemos que llenar de vida esta casa nueva, que todavía no tiene rostro. La verdad fue, para uno, edificar; la verdad es, para otro, habitar.



Así, poco a poco, nuestra casa se hará más humana. Incluso la máquina, cuanto más se perfecciona, más se difumina detrás de su función. Parece que todo el esfuerzo industrial del hombre, todos sus cálculos, todas las noches en vela encima de los planos, sólo conduzcan de modo visible a la sencillez. Parece que se necesite toda la experiencia de varias generaciones para perfilar lentamente la curva de una columna, de un casco de barco, de un fuselaje de avión, para lograr la pureza primigenia de un seno o de un hombro. Parece que el trabajo de los ingenieros, de los delineantes, de los analistas del centro de estudios, consiste, aparentemente, en borrar y pulir, en aligerar aquel empalme, equilibrar esta ala hasta que ya no se la note, hasta que ya no sea un ala incrustada en un fuselaje, sino una sola forma que, perfectamente lograda, se ha desprendido de su ganga; una forma que sea como un conjunto misteriosamente ensamblado, espontáneo como un poema.
Parece que la perfección se alcanza no ya cuando no queda nada por añadir, sino cuando no queda nada por suprimir. Al término de su evolución, la máquina se disimula.

De esta forma, la perfección del invento reside en la ausencia de invención. Y así como en el instrumento se ha ido borrando cualquier mecánica visible, por lo que disponemos de un objeto tan natural como un guijarro pulido por el mar, el manejo de la máquina, admirablemente, consigue que nos olvidemos de ella.




En otro tiempo teníamos que trabajar con un artefacto complicado. Actualmente nos olvidamos de que un motor gira. A fin de cuentas cumple con su función, la de girar, así como un corazón palpita y no por ello nos fijamos en el nuestro. 
La herramienta ya no absorbe nuestra atención, más allá de sí misma, y gracias a ella encontramos nuestra auténtica naturaleza,
la del jardinero, la del navegante o la del poeta."