I don’t want to be published


Today’s digital society is full of various problems. One of these problems is that someone on a social network posts a picture of people from the group they are in, even though some of them don’t want to post it. The EU should regulate this in such a way that all persons in the photo must give permission to publish. For example, a Bluetooth app should anonymously collect permissions within 15 minutes and only after everyone’s consent would the DRM mechanism unlock the image for publication.

Just as there is an airplane mode, there would be a social mode icon that anyone who wants should click within 5 seconds. If the person who takes the picture goes out of that protocol established at the beginning of the socializing, everyone else gets a warning, and her/his camera can only capture images with DRM that requires the permission of others to publish as long as device detects that the established network is active.

These are just initial ideas that a team of experts would quickly deepen and realize.

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PowerPoint is slowly going into disfavor

In one 2017 message to all employees, Ericsson CEO Börje Ekholm emphasizes:

” […] I wonder if we spend too much time on internal [PowerPoint] presentations. I sense a creeping loss of substance. Let’s stop presenting to each other. Instead of simplifying complex matters into nice PowerPoint charts, let’s try to start using crisp, short text documents based on full sentences. No, I am not saying that we should stop using PowerPoint, but let’s cut down their use.”

Recently Jeff Bezos Banned PowerPoint from meetings at Amazon, insisting that meetings instead start with the attendees silently reading a hard-copy document containing the information needed to discuss the issue. Since briefing documents are (at least) twice as time-efficient as PowerPoint and tend to eliminate the most useless meetings, by replacing PowerPoint with briefing documents, Bezos effectively increased company-wide management productivity by at least 25 percent.

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Modeling Healthcare Data with Graph Databases

Excellent blog: https://towardsdatascience.com/modeling-healthcare-data-with-graph-databases-3e3695bcae3c

Since the transition from paper records to virtual records, hospitals have been piling up data. Every touchpoint of the healthcare system, every prescription, operation, and immunization, is logged and stored in the hospital’s electronic health record (EHR). It has now reached a point where hospitals have more data than they know what to do with. Even worse, this oversaturation of complex data makes accessing and analyzing the data extremely inefficient.

In an ideal world, we could create this graph using real patient data; however, there are a number of rules and regulations that make working with patient data pretty hard. Instead, we can use the next best thing: synthetic data.Using Synthea, an open-source synthetic patient generator, we can create an entire healthcare ecosystem full of patients, hospital visits, insurance providers, and everything else you could think of.

Graphs are perfect for storing and visualizing healthcare data. They are designed to handle highly connected information, like patient records. Querying using graphs is extremely efficient and shows a huge improvement over standard techniques used for querying healthcare data. In a sample system of 100 million patients (wow that’s a lot of data), the time taken to gather every touchpoint that a given patient has with the healthcare system (all vertices and edges immediately connected to a given patient ) is only a couple of seconds.

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Blogs about Innovations Recap


Principles of Innovation

Innovation is a large opportunity in all organizations.  However, it requires persistence, a plan and engaged employees to succeed.

Building a Culture and Climate of Innovation

Leaders cannot ‘demand innovation’ from others. They must demonstrate how to drive innovation through their own personal stories.

Corporate Innovation

Here is my recommendation to giant companies that want to encourage innovation: Cut the CEO’s salary in half. Put that money in an R&D fund, overseen by a board of seasoned entrepreneurs and investors from outside of the company. Ask employees who have an idea for a new product line or service to write business plans and pitch their ideas to this board. Give the employees who come up with the ideas that get approved the majority of the equity–so they have an incentive to focus on ideas that will pay off, just as entrepreneurs do–and reserve the rest of the equity for the company, with a very small portion for the board, as compensation for vetting all of the plans. The blockbuster ideas will have a big payoff for the company even if it is a minority investor.

Meanwhile, if you are a corporate employee who wants to act on your great ideas, here’s an idea. Instead of getting depressed after your boss says no to your next brainstorm, channel your creative energy into finding a job at a company where entrepreneurial thinking is part of the culture–or team up with some other creative colleagues and start your own business. You’re not likely to get a chance to do something ground breaking at a corporation that wants everyone to focus on the “right” ideas.

Bimodal Innovations

Like Bimodal IT, we should split innovations into two parts, slow ‘mode 1,’ responsible for internal improvements and cost savings, and fast ‘mode 2,’ which emphasizes radically different ideas and “Fail Fast, Succeed Faster” paradigm.

Implementing Crowd in the Innovation Strategy

Like the creation of any good strategy, the process of developing an innovation strategy should start with a clear understanding and articulation of specific objectives related to helping the company achieve a sustainable competitive advantage. This requires going beyond all-too-common generalities, such as “We must innovate to grow,” “We innovate to create value,” or “We need to innovate to stay ahead of competitors.” Those are not strategies. They provide no sense of the types of innovation that might matter (and those that won’t).

The crowdsourcing idea is that rather than relying on a few experts (perhaps your own employees) to solve specific innovation problems, you open up the process to anyone (the crowd).

Importance of the pricing model innovation

In an interview with Bloomberg, the former Microsoft CEO Steve Ballmer said he wishes he realized how Apple’s pricing structure for the iPhone would work: through carrier subsidies:

“I wish I’d thought about the model of subsidizing phones through the operators. You know, people like to point to this quote where I said iPhones will never sell because the price at $600 or $700 was too high. And there was business model innovation by Apple to get it essentially built into the monthly cell phone bill.”

IT supervendors: They can buy innovation, but can’t maintain it

The IT industry is caught in a vortex of supervendors who claim that they can purchase innovation. They claim this is superior to internal R&D. We believe this is not sustainable. Acquiring innovation is one thing. Maintaining it is impossible. Users will not accept architectural mediocrity. This will challenge the business models of supervendors.

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Predicting is difficult

Windows Phone 7 predicted to significantly outsell iPhone by 2015

The most interesting IDC prediction from 2011 is that while Android is expected to retain its lead in 2015 with nearly 50% of the smartphone market, Windows Phone 7 and Windows Mobile are expected to combine for over 20% of the market putting it firmly in second place ahead of Apple’s iPhone.


In 2014 Gartner Predicts Windows Phone To Hit 10 Percent Market Share by 2018


Windows Phone OS market share of smartphone shipments worldwide from 1st quarter 2011 to 4th quarter 2016

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On-premises cloud services options

The Distributed Cloud blog describes advantages of that concept. Briefly, these are:

  • major improvements in performance because of removed latency problems
  • complies with regulatory issues because of data sovereignty (the data is stored in a designated location and is a subject to the laws of the country in which it is physically store)
  • reduce the risk of global network-related outages
  • better control on data analysis, back-up and restore

Some of on-premises cloud services options are:

  • AWS Outposts
    You order Outposts capacity and AWS personnel deliver and install the Outpost rack in your facility. You can then launch Amazon EC2 instances and EBS volumes and deploy applications to your Outpost. AWS personnel will install the Outpost at the validated location and configure it to connect to the AWS Region and your local network. An Outpost may comprise of one or more racks connected together at the site. AWS Outposts is a fully managed service. You do not have to manage any updates to your Outpost, and will be able to deploy applications just as you do in AWS Regions today.
  • Azure Stack Hub 
    Azure Stack Hub integrated systems are comprised in racks of 4-16 servers built by trusted hardware partners and delivered straight to your datacenter. After delivery, a solution provider will work with you to deploy the integrated system and ensure the Azure Stack Hub solution meets your business requirements.
    Azure Stack Hub is built on industry standard hardware and is managed using the same tools you already use for managing Azure subscriptions. As a result, you can apply consistent DevOps processes whether you’re connected to Azure or not.
  • Google Kubernetes Engine(GKE) On-Prem 
    GKE On-Prem is hybrid cloud software that brings Google Kubernetes Engine (GKE) to on-premises data centers. With GKE On-Prem, you can create, manage, and upgrade Kubernetes clusters in your on-prem environment and connect those clusters to Google Cloud Console.
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The forecasted cost was wrong and the volume is underestimated

Next week, at its World Wide Developer Conference (WWDC), Apple is expected to announce the migration of the Mac to the ARM processor architecture. It’s the end of an era that began back in 2006 when Intel processors started running the Macs.

In this regard, it is interesting to look at the beginning of that collaboration. Intel missed the opportunity to power the iPhone (and now it won’t power the Mac either).
In interview with The Atlantic in 2013, former Intel CEO Paul Otellini expressed disappointment over a decision he made about a then-unreleased product that became the iPhone. To clarify the chronology, the iPhone was announced early January, 2007. The CPU conversation must have taken place two years prior, likely before the June, 2005 WWDC where Apple announced the switch to x86. Shortly after winning Apple’s Mac business, he decided against doing what it took to be the chip in Apple’s paradigm-shifting product.

“We ended up not winning it or passing on it, depending on how you want to view it. And the world would have been a lot different if we’d done it. The thing you have to remember is that this was before the iPhone was introduced and no one knew what the iPhone would do… At the end of the day, there was a chip that they were interested in that they wanted to pay a certain price for and not a nickel more and that price was below our forecasted cost. I couldn’t see it. It wasn’t one of these things you can make up on volume. And in hindsight, the forecasted cost was wrong and the volume was 100x what anyone thought.”

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La technique pour la vie

The purpose of technology is not for technology’s sake, there is no “la technique pour la technique”. It should be in the function of the progress of the human community through better health care, communication and education. The goal is a healthy population that has more spare time that they use well and without non-personal monitoring of their activities. Such freedom is possible only through the use of new technologies that address all the existential needs of humanity.

In this context, 5G will undoubtedly improve the human community, but it is also just a transition period for some future 6G – nice and useful, but it is essentially just an evolutionary step and not a revolution as telecom giants present it. Well, let’s look at what an approach that focuses on fundamental scientific work more than one related to advancing technology has to offer us.

Examples of two technologies that will change the world to a much greater extent than 5G are nuclear fusion to solve energy problems and quantum computers with the ability to solve problems that were previously unimaginable to overcome.

Fusion, the nuclear reaction that powers the Sun and the stars, is a potential source of safe, non-carbon emitting and virtually limitless energy. International Thermonuclear Experimental Reactor (ITER,  The Way” in Latin) is one of the most ambitious energy projects in the world today. ITER will be the first fusion device to maintain fusion for long periods of time and producing a ten-fold return on energy (Q=10), or 500 MW of fusion power from 50 MW of input heating power. ITER will not capture the energy it produces as electricity, but—as the first fusion experiment in history to produce net energy gain—it will prepare the way for the machine that can. The world’s first commercial-scale fusion reactor project is on track to officially launch operations at the end of 2025.


Quantum computers have the potential to solve complex real-world problems such as simulating chemistry, modelling financial risk and optimizing supply chains. Simulating quantum physics is a fundamental problem for chemistry, nanotechnology and other fields. If you want to do calculations for new molecular designs, then classical computing is of very little help. Therefore molecular design testing is still mostly done physically in a laboratory in which wide variety of designs are simply tested out using different hardware. Quantum computers make it easier to do calculations because you have quantum system simulating another quantum system and tasks such as modelling atomic bonding or estimating electron orbital overlaps can be done much more precisely. Quantum computers could aid development of catalysts for clean energy and renewable chemical manufacturing, enable deeper understanding of the enzymes that underlie photosynthesis and the nitrogen cycle, power the discovery of high-temperature superconductors and new materials for solar cells, and much more. There are many quantum algorithms that produce a significant speed-up over the best possible classical computations, and researchers are working hard to try to find more.


Continuous improvements in researching indicate that a practical application for both of these technologies will be found in this decade. Unfortunately, it is possible that we will have the same problem that affects 5G technology – the fact that people don’t know what a vaccine is, what a chip is, and what fake news is. The problem lies in the fact that it is the simplest way for such people to become important to themselves and like-minded people, and at the same time feel liberated (this is how one of my now ex Facebook friend described the enlightenment about the evil mind and intent of Bill Gates). It is therefore essential to put pressure on politicians to raise enough funds for these two things. Preferably, before conspiracy theories about them emerge.

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Quantum computing in computational molecular biology


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Enable SSO Between Azure AD and SAP Cloud Platform Using Identity Authentication Service

Configure the SAP Cloud Platform to trust the Azure Active Directory and enable single sign-on, by using the SAP Cloud Platform Identity Authentication Service, which later you can use not only for SAP Cloud Platform Cloud Foundry but also for other SAP SaaS solutions.

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