While computational performance, storage capacity, and analytical techniques have been evolving, some of the real challenges are still too large for large data to cope with. In today's article, we'll look at five of these challenges-see how we can solve them.
What would happen if large data could be used to further solve the world's problems beyond the traditional realm? So far, giant companies such as IBM, Google and Hewlett-Packard have begun to hit such difficult challenges, including analyzing how many vehicles on a busy freeway will pass a bridge, Or calculate how many users will see a small ad in a Web browser. Google has even unveiled an ambitious plan to address the historic problem of human aging.
But there are still a few big world problems waiting for us to conquer. In some cases, the data needed for analysis is not traceable. In other cases, computers that deal with such huge amounts of data have not been invented. At present, there are five major issues worthy of our attention. Will there be big data technology companies stand up to solve problems? We wait for the time to bring the answer.
The health record of the world's people: the most urgently needed resources in the medical field
Most people have an electronic health record (EHR, for short), but the content is rather limited-even the basic results of the most recent health check. Tools and technologies are now in place to support the world's health records database. Once such a global database emerges, pharmaceutical companies can analyze it to develop the people's most needed vaccines and medications-that is, prioritize the supply chain's actual needs.
Given the bright future, why haven't we felt the benefits? This is due to the lack of a viable mechanism for accessing global data. "Health records are kept in a whole host of isolated systems, and data holders don't have enough incentive to share that information," says Mikemiller, co-founder and chief scientist of Cloudant, a distributed database provider. "Even if we really gathered all the data together, we still need to optimize it through machine learning algorithms and real-time analysis," he said. This is what we are currently working on. ”
Atlas of the Human brain: understanding how each part of the body Works
The human brain model can be a great help to scientific research. Doctors can look at the growth of tumours or understand how the brain controls other organs of the body through a range of functions. A number of scientific projects, including the European human Brain Project, have tried to create a brain simulation system within the next 10 years.
What are the obstacles? To complete this work, we need a supercomputer with a speed of up to the current level. There are millions of neurotransmitters in the brain, and they connect with each other and share data that we are exposed to.
"The scale of such calculations requires us to move away from the traditional silicon chip to the age of Biochip, which is a prerequisite for molecular computing," explained Oliverg.mcgee, a former deputy secretary of state for the Clinton administration, who is currently a professor at Howard University. "From an intuitive point of view, molecular computing in the data management of the operation speed than the traditional silicon chip 750 times times higher, only such a mechanism to deal with the cognitive mysteries of the relationship between the cranial-abdominal brain system." ”
Coordinating the worldwide supply of uranium materials: tracking the weaponization and energy supply
There is no doubt that collecting any data on a global scale will be a daunting task, but tracking the global supply of uranium supplies has at least its positive significance-assuming, of course, that all pieces of information can be spliced together perfectly.
Connotate Ceokeithcooper, a data-gathering firm, says that we can only address some of these problems now, as some countries have not disclosed their records of supply of uranium materials. "At present, many uranium-rich countries, although already have a convenient internet system, but still refuse to publish its resources in a standardized manner." "Fortunately, it is not difficult to calculate the macro situation-after all, the number of countries that have invested in the weaponization of uranium is limited."
What we really need to track and control is the most valuable uranium available in the world, which is only 15% enriched uranium, he explains. "We need to identify and track all enrichment-related sales activities (through black market or legal channels) and mineral deposits, and data statistics through forums, blogs, regulatory agencies and other peripheral systems, including government and NGO reports on uranium production data and mining activities." To deal with these results, we also need to design an intelligent human-computer communication program. ”
Global real-time crime data: more proactive policing capabilities
Many local law enforcement agencies already have very rich criminal data, and police officers can easily access the database of criminal records in their police cars to respond to the specific circumstances of the suspect.
What are the obstacles? These figures contain only past crimes, and Miller, of the cloudant company, says it does not reflect the recent or ongoing criminal activity. The police were forced to take a more reactive approach because they could not stop the criminal activity.
But things have changed, Miller said. For example, California State Oakland Police have been equipped with acoustic monitors to identify gunfire. Technical people called it "ShotSpotter", with the large data analysis mechanism can be used to track the potential location of the crime, the police, according to the analysis of the results immediately to the corresponding position. The vulnerability of real-time crime data is not confined to law enforcement: trulialocal hotspot maps can provide criminal activity reports that help homeowners choose a friendlier and safer living environment.
Tracking the whereabouts of children: better, more timely amberalert
Today, we have many ways of informing missing children, such as the Amberalert system used in the United States. But the biggest problem with these notification mechanisms is that reminders can only be initiated afterwards. The technology necessary to track children's location is already there, and most smartphones now send their children's current location to their parents through Google's position reporting function. At the same time, Volkswagen's Car-net and Ford's MyKey applications can also send reports when teenagers drive to a special location.
What are the obstacles? Jaisonmanian, vice president of digital marketing Enterprise Roundarchisobar, points out that predictive technology can help. Large data vendors can analyze children's behavior patterns, assuming parents are willing to share data.
"Predictive analysis can track the day-to-day patterns of action of children and alert parents immediately when serious deviations occur," he says. As long as the alert conditions are met, information is sent in real time--which can effectively prevent the occurrence of a major accident.