There are still several major global problems waiting for us to overcome. In some cases, the data needed to analyze the root without trace. In other cases, enough to cope with such a large amount of data for the computer has not yet been invented.
Despite computing performance, storage capacity, and analysis technology has been in progress, some real challenges for large data concerned is still too large that they can not cope. In today's article, we will explore these five challenges - to see how it can be resolved.
If big data can further solve the world's problems outside the traditional areas, what will happen? So far, IBM, Google and Hewlett-Packard and other giants grade companies have begun to attack this kind of difficult challenges, including an analysis of high-speed busy in the end there will be the number of vehicles on the road by a strip bridge, there will be a small ad or calculate how many users view the web browser. Google has even unveiled an ambitious plan, said it would solve the historic problem of human aging.
But there are still several major global problems waiting for us to overcome. In some cases, the data needed to analyze the root without trace. In other cases, enough to cope with such a large amount of data for the computer has not yet been invented. There are five major topics worthy of our attention. There will be big data technology companies stand up and solve problems? We wait for time to bring the answer.
Health records people of the world: the medical field most urgently needed resources
Most people have an electronic health record (referred to as HER), but the content of which is quite limited - even contain only basic results of the latest health check. Currently sufficient to support the worldwide health records database tools and technologies already in place. Once such a global database appears, pharmaceutical companies will be able to analyze the development of the people most urgently needed vaccines and drugs - that is, select the best according to the actual needs of the supply chain.
Since the prospects for the future and why we have not felt the benefits resulting of it? This is possible due to the current lack of a mechanism for access to global data. "Health records are kept in isolation from each other among a lot of the system, and the information holder does not have enough incentive to share this information," distributed database vendor Cloudant co-founder and chief scientist MikeMiller representation. "Even if we really put all the data transports and collects together, still we need to learn through real-time analysis algorithms and machine be fully optimized. That is what we are trying to delve into the subject."
Human Brain Atlas: Learn how to operate the various parts of the body
Human brain model can be a huge help for scientific research. The doctor can see the growth of tumors or to understand how the brain functions controlled by a series of other organs of the body. There are already more than the human brain science projects include the European project, including the brain tries to create a simulation system in the next decade.
What are the obstacles? To do this, we need a supercomputer computing speed thousand times the current level. Brain exists among millions of neurotransmitters, and interconnected among each other, common data to the data we have contacted.
"This requires us to scale out computing from traditional silicon chips out towards the bio-chip era - which is a prerequisite for molecular computing," a former Clinton administration, former Deputy Assistant Secretary of State (in charge of transportation technology policy system), the incumbent Howard University professor of OliverG.McGee explained. "From the visual point of view, the operation speed is calculated on the molecular data management 750 times higher than conventional silicon chip, the only way to handle the relationship between cognitive mechanisms mystery among cranial abdomen brain system."
Uranium supply of raw materials in the world-wide co-ordination: Tracking Weapons of activity and energy supply
There is no doubt collect any data on a global scale will be an extremely difficult task, but track the global uranium supply has at least the positive sense - of course, that all the pieces of information that can be spliced together seamless.
Data collection companies Connotate company CEOKeithCooper that we can only solve part of the problem, because some countries did not disclose its uranium supply records. "At present, many countries, while rich in uranium reserves already have convenient Internet system, but still refused to release its standardized way flow of resources." Fortunately, the idea is not difficult to calculate the macroeconomic situation - after all the uranium into weapons of a limited number of areas of the country.
What we really need to track and control of the world's uranium available among the most valuable, only 15% enriched uranium, he explained. "We need to identify and track all sales activities related to uranium enrichment (the black market or through legitimate channels) as well as mineral deposits, and statistics through forums, blog, regulators and other peripheral systems, including various governmental and non-governmental organizations for uranium raw materials and production data mining activities reports. in order to deal with the results collected, we also need to design a set of intelligent human-machine communication solutions. "
Global crime data in real time: a more proactive police handling capacity
很多地方性执法机构已经掌握着非常丰富的犯罪数据，警务人员则可以在自己的警车内轻松访问犯罪记录数据库，从而根据犯罪嫌疑人的具体情况做出反应。
障碍何在?这些数据只包含过往的罪行，Cloudant公司的Miller表示，其中无法体现刚刚发生或者正在进行中的犯罪活动。由于无法在犯罪活动进行的过程中进行阻止，警方只能被迫采取更为被动的应对措施。
不过情况已经有所转变，Miller指出。举例来说，加利福尼亚州奥克兰市警方已经配备声学监控器用于识别枪声。技术人士将其称为 “ShotSpotter”，配合大数据分析机制即可用于追踪潜在的犯罪发生地点，警员则根据分析结论立即前往对应位置。实时犯罪数据所带来的易处并不局 限于执法领域：TruliaLocal热点地图能够提供犯罪活动报告，从而帮助住房买家选择更友善、更安全的生活环境。
追踪儿童行踪：更好、更及时的AmberAlert
时至今日，我们已经拥有很多种通报失踪儿童的方式，例如美国所采用的AmberAlert系统。不过这些通告机制的最大问题在于，只能在事后发起提醒。追踪儿童位置所必要的技术已经存在，当下大部分智能手机都能通过谷歌位置报告功能将儿童的当前所在地发送给父母。与此同时，大众汽车的Car-Net以及福特汽车的MyKey应用也能在青少年驾车到达特殊地理位置时发送报告。
障碍何在？数字营销企业RoundarchIsobar公司副总裁JaisonManian指出，预测技术能够助我们一臂之力。大数据厂商能够分析儿童的行为模式，当然前提是家长愿意分享相关数据。
“预测分析能够追踪儿童的日常行动模式，并在出现严重偏差时立即向父母发出警示，”他表示。只要满足警示条件，信息会被实时发出 ——这能有效阻止重大事故的发生。
