It’s Time To Take Your Life Back

GodInterest exists to welcome people of all faiths and backgrounds, equipping people with a faith that works in real life and sends them into a world to serve for God and humanity.

Now, more than ever, our lives seem out of control, with governments making decisions for our every move. Have you ever felt like things in your life are out of control? That happens when you allow circumstances to dictate your thoughts and attitudes. You might say, “well, the economy is wreaking havoc on my business.” Or, “this relationship is just too far gone, it’s not worth trying.” My message to you today is “this is the day to take your life back!”  

Today’s verse tells us we must take control of every thought which is not a natural idea. We live in this natural realm, but as believers, we are not limited by this natural realm. We can tap into God’s supernatural power. But it starts by making every thought line up with the Word of God, and declaring I’m taking my life back in Jesus’ Name! Hallelujah!  

Today, from the government to the church, nobody seems to know what to do, and this confusion sows seeds of fear. By faith today I say take your life back. You may ask how? By taking your thoughts back from secular natural agencies. Don’t allow the enemy to have access any longer. Instead, meditate on the Word of God daily, and allow His truth to sink down deep into your spirit. Let His truth set you free! Hallelujah! 

“…take captive every thought to make it obedient to Christ.”

(2 Corinthians 10:5, NIV) 

Let’s Pray
Yahweh, thank You for empowering me to live in victory. Father, today I choose to take my life back from the enemy and his agencies by taking captive every thought and submitting it to You. God, help me to live a life that is pleasing to You, starting now and throughout my life, in Jesus’ Name! Amen.

65% of Mega-projects Fail

There’s a reason why  Mega-projects are simply called “Mega-projects.” Extremely large in scale with significant impacts on communities, environment and budgets, mega-projects attract a lot of public attention and often cost more than 1 billion. Because of its grandiose, a successful mega-project requires a lot of planning, responsibility and work. Likewise, the magnificence of such projects also creates a large margin for failure.

Mega-projects Come with Big Expectations. But a Project’s Success Is Often in the Eye of the Beholder

Despite their socio-economic significance mega-projects – delivering airports, railways, power plants, Olympic parks and other long-lived assets – have a reputation for failure. It is thought that  over optimism, over complexity, poor execution, and weakness in organizational design and capabilities are  the most common root causes of megaproject failure.

Blinded by enthusiasm for the project, individuals and organizations involved with mega-projects often miscalculate the complexity of the project. When a mega-project is pitched, its common for costs and timelines to be underestimated while the benefits of the project are overestimated. According Danish economist Bent Flyvbjerg, its not unusual for project managers who are competing for funding to massage the data until it is deemed affordable. After all, revealing the real costs up front would make a project unappealing, he said. As a result, these projects are destined  for failure.

For example, building new railways spanning multiple countries could prove to be disastrous if plans are overly complex and over-optimized. Such a large-scale project involves national and local governments, various environmental and health standards, a wide range of skills and wages, private contractors, suppliers and consumers; therefore, one issue could put an end to the project. Such was the case when two countries spent nearly a decade working out diplomatic considerations while building a hydroelectric dam.

Complications and complexities of mega-projects must be considered thoroughly before launch. One way to review the ins and outs of a project is through reference-class forecasting. This process forces decision makers to look at past cases that might reflect similar outcomes to their proposed mega-project.

Poor execution is also a cause for failure in mega-projects. Due to the overoptimism and overcomplexity of a project, it’s easy for project managers and decision makers to cut corners trying to maintain cost assumptions and protect profit margins. Project execution is then overwhelmed by problems such as incomplete design, unclear scope, and mathematical errors in risk assessment and scheduling.

Researchers at McKinsey studied 48 struggling mega-projects and found that in 73 percent of the cases, poor execution was responsible for cost and time overruns. The other 27 percent ran into issues with politics such as new governments and laws.

Low productivity is another aspect of poor execution. Even though trends show that manufacturing has nearly doubled its productivity in the last 20 years, construction productivity remains flat and in some instances has even declined. However, wages continue to increase with inflation, leading to higher costs for the same results.

According to McKinsey studies, efficiency in delivering infrastructure can reduce total costs by 15 percent. Efficiency gains in areas like approval, engineering, procurement and construction can lead to as much as 25 percent of savings on new projects without compromising quality outcomes. This proves that planning before execution is worth its weight in gold.

We Tend to Exaggerate the Importance of Contracting Approach to Project Success or Failure

Finally, weaknesses in organizational design and capabilities results in failed megaprojects. For example, organizational setups can have multiple layers and in some cases the project director falls four or five levels below the top leadership. This can lead to problems as the top tier of the organizational chain (for example, subcontractors, contractors and construction managers) tend to focus on more work and more money while the lower levels of the chain (for example, owner’s representative and project sponsors) are focused on delivery schedules and budgets.

Likewise, a lack of capabilities proves to be an issue. Because of the large-scaled, complex nature of mega-projects, there is a steep learning curve involved and the skills needed are scarce. All the problems of megaprojects are compounded by the speed at which projects are started. When starting from scratch, mega-projects may create organizations of thousands of people within 12 months. This scale of work is comparable to the significant operational and managerial challenge a new start-up might face.

In the end, it seems that if organizations take the time to thoroughly prepare and plan for their mega-projects, problems like overcomplexity and overoptimism, poor execution, and weaknesses in organizational design and capabilities could be avoided. After all, mega=projects are too large and too expensive to rush into.

 

Playing God: Swedish Train operator uses Big Data to ‘avoid train delays that haven’t happened yet’

In a sign of things to come, a Swedish train operator is using new technology that employs big data to predict the entire commuter train system two hours into the future.

Welcome to the world of “Big Data.” We have more information at our fingertips than any generation in history. We live in the world of “Big Data.” That is the new way people are trying to describe this sea of digital facts, figures, products, books, music, video, and much more. Twitter, apps, Facebook–they’re each giving science new ways to look at what people do and why.

“Hopes, fears, and ethical concerns relating to technology are as old as technology itself.”

We actually welcome some aspect of Big Data. These mysterious data successes (or accidental successes) are easy to see as a kind of Big Brother future, where technology can track your every move and report back to ”¦ someone. However, StockholmstÃ¥g, the train operator is using new technology that employs big data to predict train delays before they happen.

“The Commuter Prognosis –  A Social Scientist’s Dream Come True.”

The mathematic algorithm, called “The commuter prognosis” was  developed in Stockholm, Sweden.

When a train is not on time the algorithm forecasts disruptions in the entire network by using historic big data  to  prevent the ripple effects that actually causes most delays.
Wilhelm Landerholm the mathematician who has developed the algorithm said:

“We have built a prediction model, using big data, that lets us visualize the entire commuter train system two hours into the future. We can now forecast disruptions in our service and our traffic control center can prevent the ripple effects that actually cause most delays.”

The algorithm has been tested but is not currently being  used by traffic controllers.

How  does it work?

The key to the model is a large  amount of historical data. The model works similar to a seismograph, an instrument that measures and records details of earthquakes, such as force and duration, but instead identifies late train arrivals. When this happens, the system  uses historical data from previous occurrences to forecast the likely  impact on the entire train network.

Real-time public transportation information is already used around the globe, however, traffic control centers still typically assess  delays manually to try and prevent further problems in a network. The commuter prognosis system, on the other hand, will forecast these delay effects instantaneously  and provide a prediction of how a single or multiple  disturbance might  affect  the whole  train network. The  commuter prognosis system could change how traffic control centers operate all over the world.

“The Effects of One Delayed Train Can Quickly Multiply Within a Train Network”

Imagine that “The commuter prognosis” forecasts that a train will be 10 minutes late to station C in two hours. To deal with this the traffic control center issues a new train from station A that will arrive on time at station C. As soon as the new train has been put in motion the algorithm re-calculates and gives the traffic control center a new forecast for the entire train network within minutes.”

The most important benefit of “The commuter prognosis” is that it  provides for a more punctual public transportation.

“The commuter prognosis” will be available in a smartphone app based on the original model. The app will integrate with other transportation big data to make commuting easier and  will indicate which coaches are more or less crowded.

Big Data, Ethics, and Religion

These stories remind us that even though companies and governments are doing amazing things with data, it’s at best imperfect. The algorithms and programs they use to filter and respond to data are at least as fallible as the human beings who designed them.  We can also see its complexity and failures as evidence of the amazing omnipotence of our God – who doesn’t make errors and who knows right where to find us, even inside a great fish or the depths of hell.

The arrival of big data has already brought with it numerous questions that have yet to be properly addressed. These questions are methodological, epistemological, and ethical, and they concern (inter alia) the ways in which data is collected, stored, interpreted, represented, and traded.  A further complication is a speed with which data science is advancing, which means that (for example) the application of legal and ethical restrictions to the practice of that science will always risk being several steps behind the point that it has currently reached. There are indications that we are currently sleepwalking towards a situation in which the commercial exploitation of big data routinely increases social division, and renders privacy a thing of the past.

Ket factors

  • A mathematical model interprets big data to forecasts for each train in the train network.
  • The commuter prognosis can warn about delays two hours before the departure or arrival actually takes place.
  • The commuter prognosis calculates how the delay affects other trains in the system.
  • The purpose of “the commuter prognosis” is to make life easier for traffic control centers and to give passengers  a better service.
  • In the future, the algorithm will be potentially adaptable for more types of public transportations and cities.

 

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