A Quote by Clayton M. Christensen

By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body.
At the end of the day, when we measure our healthcare, it will not be by the diseases cured, but by the diseases prevented.
When a human body is out of balance we call that disease, which indicates dis-ease of the body. Likewise, when the body of Christ becomes unbalanced, disease occurs... Health will occur only when everything is brought back into balance. The task of church leadership is to discover and remove growth-restricting diseases and barriers so that natural, normal growth can occur.
The reductionist measure of yield is to agriculture systems, what GDP is to economic systems. It is time to move from measuring yield of commodities, to health and well-being of ecosystems and communities. Industrial agriculture has its roots in war. Ecological agriculture allows us to make peace with the earth, soil and the society.
It is almost certain that excess in eating is the cause of almost all the diseases of the body, but its effects on the soul are even more disastrous.
The big thing that's happened is, in the time since the Affordable Care Act has been going on, our medical science has been advancing. We have now genomic data. We have the power of big data about what your living patterns are, what's happening in your body. Even your smartphone can collect data about your walking or your pulse or other things that could be incredibly meaningful in being able to predict whether you have disease coming in the future and help avert those problems.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
As we get more transparent with data sets about infrastructure and systems management, I have a feeling we'll see big changes in how we think about complexity and our relationship to our actions.
Our culture has valued closed systems and tries to generate them in all walks of life. Women are better at and more comfortable with open systems, which occur naturally in nature.
The whole issue of healthcare is very complicated. There have been seven Presidents who've tried to get healthcare reform passed.
We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.
Our ancient yogis and sages were not just medical healers, but systems scientists and systems engineers, who saw the body and the universe as an interconnected engineering system, a system of systems that are governed by fundamental engineering systems principles.
Cerner's focus over the last 20 years has been to provide healthcare, predominately healthcare providers, with advanced clinical and management information systems. Our mission is to connect the appropriate persons, knowledge, and resources at the appropriate time and location to achieve the optimal health outcome.
All of these technologies that we are putting together... our memory technology, our CPU, our graphics architecture, our GPUs - all that is being applied to where the data is. You can almost predict where Intel will be in the future. It will be where data resides.
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
It's not just global warming, it's not just a loss of biodiversity, it's not just the pollution of our oceans and the clearing of our rainforests and all these complicated systems, The [11th Hour] movie talks about the world economy, it talks about politics, it talks about personal transformation and environmental consciousness that we need to have in this generation to implement a lot of these changes that need to occur.
Drug companies spend more on advertising and marketing than on research, more on research on lifestyle drugs than on life saving drugs, and almost nothing on diseases that affect developing countries only. This is not surprising. Poor people cannot afford drugs, and drug companies make investments that yield the highest returns.
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