Blockchain Wins Big in Switzerland and Hong Kong

Blockchain’s claim to fame is Bitcoin. While it may be its most well-known application, the interest over the technology continues to expand as countries like Switzerland and Hong Kong are getting on board.

Beyond Bitcoin

Blockchain offers a multitude of applications across industries, and its immutable and decentralized nature that make it virtually robust poses great advantage in handling a significant amount of data during nationwide elections. In fact, the Swiss tax haven of Zug is currently working on using blockchain to log votes. The Zug municipality is not just keen to become a blockchain capital; it is also among the first administrations to express interest to usher in blockchain-based voting.

The municipality completed its first trial, which involved people voting via their smartphones and the town’s new electronic ID system. The trial was completed last June 25.

“The premiere was a success,” Fortune quoted Zug communications chief Dieter Müller told the Swiss News Agency. There were not as many participants but those who took part found the entire process easy. Technical analysis of how the trial went will come next as this is the most common issue with electronic voting. The Holy Grail for electronic voting will be a system to allow auditing but will still preserve the anonymity of individuals. Some believe that blockchain might just be the right answer.

Hong Kong wants to be international blockchain hub

Hong Kong’s Securities and Futures Commission (SFC) said in their annual report that they intend to watch cryptocurrencies and Initial Coin Offerings (ICO) closely. The watchdog also noted that the new technology brings in risks so they plan to intervene if necessary. While the SFC has taken steps to create more defined policies against ICOs and local cryptos – warning people about the possible risks – Hong Kong has also continued on nurturing financial, cross-border initiatives based on blockchain. In fact, the region has been steadily gaining reputation as an international blockchain hub.

As an autonomous territory of China, Hong Kong operates with a separate political system that also extends to its local economy. This means the city does not approach crypto in the same way that China does. Several crypto-related businesses moved to the region after the Chinese crackdown. It was around the same time in September 2017 that Hong Kong expressed support for blockchain. It has a relatively friendlier position towards the technology when compared to China.

Different Methods of Recovering the Data

The hard drives are prone to breakage, and the data stored in them could be lost. Some common reasons that cause data loss are as follows:

The hard drive component can be faulty and can break, which will lead to data loss. This mechanical failure can lead to damage to the component, and the data can not be accessed.
There could be scenarios like the hard disk board might blow due to the fluctuating power supply to the units.
Some logical errors may also lead to the loss of data. The reasons can be like the programming code of the hard drive got corrupted.
They can have bad sectors. This causes the data to be inaccessible and assumed as data is deleted.
Sometimes we accidentally delete the files containing essential files and documents.
A reinstallation or formatting can also lead to the loss of important files.
The data can be recovered from the hard drives in the majority of the situations. But, the process of recovering the data should be right. Otherwise, the data cannot be retrieved.
Recovering the data by self:

You can recover the data by yourself or take the help of the professionals’ services, but conditions apply. You don’t have to go to a service center if only some files are deleted. Only if there is any problem with your hard drive, then the professionals should be consulted. Otherwise, deletion of files and documents can be recovered by any software available online.

Recovery of Deleted Files in Windows 10 Recycle Bin:

You can restore the files deleted by simply following the procedure given below:

Step 1. Click on the ‘Recycle Bin.’

Step 2. Browse and locate the file that you are looking for.

Step 3. Right-click on the file. Click on the option ‘Restore.’

These steps will retrieve the files that were previously deleted. You can access these from the same location that they were saved on.

Recovery of Deleted Files Using The Software:

If the files that have been deleted are not available in the recycling bin, you can use a lot of software in the market. Any paid or free software can be used to restore the data. This software restores the files that were deleted permanently from the laptop or PC.

Recovering the data with the help of the company:

If there is a failure of the hard drive, then you should consult the company.

Any fault like a problem in the structure and construction, failure of the units that supply the power to the hard drive, fault in the firmware, drives that have bad sectors, etc., should be taken directly to the company. You shouldn’t try to retrieve the data on your own. Taking the help of the available software also increases the risk of further deterioration of the files. Consult companies like Data Clinic Ltd. for recovery of the data lost.

For example, assume your hard drive has encountered some mechanical failure. Its heads are not working properly. Because of this, it fails the self-test, which is crucial before starting the PC. As a result, it keeps resetting itself. Then, a firm that provides data recovery quality should be taken into consideration. Data Clinic Ltd. recovers the deleted data from hard drives, Android phones, iPhones, NAS disks, and RAID 5.

A Beginners Guide to Understand Machine Learning

What is Machine Learning?

Machine learning is a branch of artificial intelligence that involves a computer and its calculations. In machine learning, the computer system is given raw data, and the computer makes calculations based on it. The difference between traditional systems of computers and machine learning is that with traditional systems, a developer has not incorporated high-level codes that would make distinctions between things. Therefore, it cannot make perfect or refined calculations. But in a machine learning model, it is a highly refined system incorporated with high-level data to make extreme calculations to the level that matches human intelligence, so it is capable of making extraordinary predictions. It can be divided broadly into two specific categories: supervised and unsupervised. There is also another category of artificial intelligence called semi-supervised.

Supervised ML

With this type, a computer is taught what to do and how to do it with the help of examples. Here, a computer is given a large amount of labeled and structured data. One drawback of this system is that a computer demands a high amount of data to become an expert in a particular task. The data that serves as the input goes into the system through the various algorithms. Once the procedure of exposing the computer systems to this data and mastering a particular task is complete, you can give new data for a new and refined response. The different types of algorithms used in this kind of machine learning include logistic regression, K-nearest neighbors, polynomial regression, naive bayes, random forest, etc.

Unsupervised ML

With this type, the data used as input is not labeled or structured. This means that no one has looked at the data before. This also means that the input can never be guided to the algorithm. The data is only fed to the machine learning system and used to train the model. It tries to find a particular pattern and give a response that is desired. The only difference is that the work is done by a machine and not by a human being. Some of the algorithms used in this unsupervised machine learning are singular value decomposition, hierarchical clustering, partial least squares, principal component analysis, fuzzy means, etc.

Reinforcement Learning

Reinforcement ML is very similar to traditional systems. Here, the machine uses the algorithm to find data through a method called trial and error. After that, the system itself decides which method will bear most effective with the most efficient results. There are mainly three components included in machine learning: the agent, the environment, and the actions. The agent is the one that is the learner or decision-maker. The environment is the atmosphere that the agent interacts with, and the actions are considered the work that an agent does. This occurs when the agent chooses the most effective method and proceeds based on that.

Appointments – Manage Your Time Better At Home to Be Effective

What would happen to you if your home life was more organized than it is right now? Can work-life balance be achieved? What are the tools at our disposal? Could scheduling appointments and keeping them at home help us save time and prioritize?

What is the challenge we face? I sometimes find that time spent at home can be the busiest time, especially in the times we live in. Imagine someone working from home, home-schooling children, and sometimes even doing a side hustle. Imagine also the full-time home-based entrepreneur. How do they manage to do all they need to do in a day?. We are living in a time when many entrepreneurs and even company employees have adopted work- at – home culture. This comes with its challenges as the lines become blurred between home and work. These blurred lines and constraints on the limited resource called time result in over-worked, under-rested, burnt-out individuals. Whilst good time management has been encouraged and indeed, embraced in the workplace, I believe more needs to be done in changing the mindset for the elusive work-life balance to be achieved.

What are the tools at our disposal? To manage time effectively at home, there are many interventions one can employ including setting goals for the day, prioritizing wisely, setting a time limit for every task, organizing oneself, and instituting the discipline of appointments. Yes, an appointment at home! We can spend time pontificating on the pros and cons of each intervention, however, I believe we need to focus on appointments and see how this can powerfully change the course of one’s day regardless of whether it’s a workday or weekend. Life is busy as it is without any intrusions. The question is how do you handle the one who announces that they are at the gate. These can be friends, neighbors, a salesman of some product you do not even need. I am not promoting regimentation here but rather a culture of filling your day with what’s important. Everything that we succeed at is because we carefully plan and execute it. I am a firm believer that you cannot manage time if you do not manage yourself thus I implore you to incorporate planning and appointments into your repertoire. I am not talking about something I do not do. I have to achieve many things in a day therefore I set appointments with my work, others, and myself.

Could scheduling appointments and keeping them on the home front help us save time and prioritize? Whereas we have established that it is a normal business practice to set appointments and keep them, we need to abandon the liberal open-door policy of allowing all and sundry to have access to us as and when they please on the home front. Please understand where I am coming from. We each have greatness within us but for us to achieve it we need to culture great habits. Employing the use of appointments at home and seeing only those people you had agreed to see removes non-essential encounters especially during the most productive hours. I know this will vary with culture, geographical region, or even level of affluence, whether you live in a low density or high-density residential area, but doesn’t negate the need to be organized and effective. Controlling access determines how organized you are and how well you will work and rest when the time for scheduled rest comes.

What do we need to do differently? We need to be disciplined and diligent, learn to say no, now is not a good time, let’s make an appointment for next week. What are the benefits of this approach? You are not always fire-fighting to meet deadlines, You are not always tired because you have not taken time out to rest. You have set aside enough time to spend with your loved ones or a loved one. If you are a busy person, I am sure you appreciate what I am saying. Whether it’s time to work uninterrupted, family time, or “me-time”, it takes some kind of order to enjoy it.

I am not saying that those that come unannounced are bad people. No, not at all, they probably are people you enjoy spending time with. Nevertheless, there must be prior communication so that you can attend to your visitor(s) when it is convenient for both you and them. It can be quite disrupting and a whole day can just pass by without achieving anything that you had planned to do.

As we grow older we begin to appreciate that rest and recovery need to be scheduled. The fact that I am relaxing doesn’t mean that I don’t have anything to do. One therefore cannot assume that just because you are at home you are available. Maybe you have scheduled that time to rest. That is important. You need to make an appointment with yourself, spouses need to also set aside time for each other. Parents need to schedule a time to spend with their children. When you have some sort of order in your life you determine who sees you and who you see. It also means that your relationships will be healthy and that makes you a happier person.

In conclusion, I believe that the work-life balance can be achieved. There are many tools at our disposal just like it is in the workplace.I believe we could do more and be happier if we are disciplined enough to make only the commitments we can keep.I am certain that setting appointments and keeping them at home help us save time and prioritize.

Fitzgerald Mujuru, a fusion of Business Coach, Personal Effectiveness Coach, Business Consultant, Marketing Strategist, Sales Zealot, Speaker, brand builder, with over twenty years in marketing and sales for globally known brands. He has vast commercial experience at management level in various sectors. His strengths include marketing, brand building, sales, business development, business strategy, management, and equipping leaders and teams with strategies for personal and team effectiveness. He has handled various consultancy assignments for companies in professional services, media, communications, training and development, non-profit organizations. He has released 4 books and published more than 200 articles online.

« Newer posts