Many technology companies may find it tough to operate if every country comes up with a different set of data protection regulation, said Thomas J Manning<\/em>, CEO of Dun & Bradstreet. In an interview with ET, Manning, who heads one of the largest global firms that provide commercial data, analytics and insights to companies, spoke about the future of data, bankruptcy<\/a> and threats from artificial intelligence<\/a> (AI). 很多科技公司可能会发现很难操作,如果每一个国家提出了一组不同的数据保护规定,说托马斯J曼宁Dun & Bradstreet首席执行官。采访中,曼宁,最大的跨国公司之一,提供商业数据,分析公司和见解,谈到未来的数据,破产和威胁人工智能(AI)。
Edited excerpts:<\/em>
India is looking to bring about its own version of General Data Protection Regulation<\/a> (GDPR). How are MNCs gearing up for different sets of data regulations?<\/strong>
The notion of regulation of data is certainly a trend. Most people in the industry<\/a> feel that it would be useful to coordinate among countries or regions of the world, so that we don’t have 100 standards. It could make it difficult for information providers to cope with so many regulations and do so appropriately. And we may end up seeing a fracturing of information. On the industry side, information providers should increasingly step up to the responsibility to shepherd their information techniques in a way that is responsible, and do some self-policing and self-monitoring.
How are data companies dealing with the threat from AI and robotics?<\/strong>
AI is affecting our business profoundly. We fortunately grasped the significance of both trends, probably as early as 10 years ago. We have had a data science department and an analytics department in place for the bulk of the last decade. And it’s a sizable one — we have capabilities worldwide in that regard. And we believe that increasingly, both analytics and AI will be the drivers of the value of information and the determinants of the deployment of that information. So if you think about data in its raw form, having that available is likely to be useful, but having it available with or even in 1,000 dimensions becomes a source of intelligence, not just a piece of data.
Why has the firm decided to go private?<\/strong>
As most companies have realised, it is very advantageous to be private these days because of the burden of being public in terms of having a diverse set of shareholders. The plethora of shareholders can make managing and investing challenging. We also believe that having quarterly earnings pressure can create a short-term difficulty which really restricts one’s ability to invest for the medium to long term and in certain businesses where that type of investments are required. Our board of directors felt that we could be growing faster if we can make additional investments.
What do you make of India’s bankruptcy law, and do you think lenders can deal with the situation here on?<\/strong>
Indian banking system is undergoing well-needed reform and, and really approaching the issue of credit risk in very new and improved ways. There is still a continuing need to supervise non-performing loans and eliminate the build-up of debt that has occurred over time. And the bankruptcy law, as you characterise it, will aid in those efforts . And I think it’s in the national interest to avoid having a series of zombie-type companies, which cannot do anything productive but cannot fail either. It’s much more effective if a bankruptcy law allows for the elimination of those companies over time.
Do you think it’s time to revisit ratings standards and the whole rating framework?<\/strong>
Most credit agencies are not capturing 100% of their information on real-time basis, maybe capturing just 1-2%. Most of them are trying to use analytics to a greater degree. That can be interpreted as taking multiple sources, combining them to gain more insight into a situation. It can also mean adding sophisticated mathematics<\/a> to determine relationships and correlations.
It can also mean going a step further and developing even more sophisticated analytic techniques.
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编辑摘录:
印度希望带来自己的版本一般数据保护规定(GDPR)。跨国公司是如何准备不同的数据集的规则吗?
监管的概念的数据肯定是一个趋势。大多数人的行业觉得它会有用的协调世界各国或地区,所以我们没有100的标准。它能让信息提供者很难应付很多法规和适当地这样做。我们可能会看到一个破碎的信息。在工业方面,信息提供者应该越来越加强责任牧羊人,负责他们的信息技术,和做一些自我管理和自我监控。
人工智能是深刻地影响我们的业务。我们幸运的是抓住这两个趋势的意义,可能早在10年前。我们有一个数据科学部门和分析部门过去十年的大部分时间。这是一个相当大的全球在这方面,我们有能力。我们相信,越来越多的分析和人工智能的司机信息的价值和部署的决定因素的信息。如果你考虑数据在其原始状态,有可能有用,但在1000年它可用甚至维度成为情报的来源,不只是一块数据。
为什么公司决定去私人?
大多数企业已经意识到,这些天是非常有利的是私有的,因为公众的负担方面拥有一个多样化的股东。过多的股东可以使管理和投资的挑战。我们也相信,季度业绩压力可以创建一个短期困难真正限制一个中长期的投资能力和在某些业务所需的投资类型。董事会认为,我们可以增长速度如果我们可以额外的投资。
你做印度的破产法,你认为银行可以处理这里的情况吗?
印度银行系统正在经历well-needed改革,真正接近信贷风险问题非常新的和改进的方法。仍有继续需要监督和消除不良贷款的累积债务发生。破产法,正如你描述它,将帮助那些努力。在《国家利益》,我认为这是避免一系列的不死族公司,不能做任何生产但不能失败。如果破产法律允许更有效的消除这些公司。
你认为现在是时候重新审视评级标准和整个评级框架?
大多数信贷机构不是捕获100%的信息在实时基础上,也许捕捉只是1 - 2%。它们中的大多数都是试图用更大程度的分析。可以解释为多个数据源,结合他们深入理解情况。它还可以添加复杂的意思数学确定关系和相关性。
它也意味着进一步发展更先进的分析技术。
Many technology companies may find it tough to operate if every country comes up with a different set of data protection regulation, said Thomas J Manning<\/em>, CEO of Dun & Bradstreet. In an interview with ET, Manning, who heads one of the largest global firms that provide commercial data, analytics and insights to companies, spoke about the future of data, bankruptcy<\/a> and threats from artificial intelligence<\/a> (AI).
Edited excerpts:<\/em>
India is looking to bring about its own version of General Data Protection Regulation<\/a> (GDPR). How are MNCs gearing up for different sets of data regulations?<\/strong>
The notion of regulation of data is certainly a trend. Most people in the industry<\/a> feel that it would be useful to coordinate among countries or regions of the world, so that we don’t have 100 standards. It could make it difficult for information providers to cope with so many regulations and do so appropriately. And we may end up seeing a fracturing of information. On the industry side, information providers should increasingly step up to the responsibility to shepherd their information techniques in a way that is responsible, and do some self-policing and self-monitoring.
How are data companies dealing with the threat from AI and robotics?<\/strong>
AI is affecting our business profoundly. We fortunately grasped the significance of both trends, probably as early as 10 years ago. We have had a data science department and an analytics department in place for the bulk of the last decade. And it’s a sizable one — we have capabilities worldwide in that regard. And we believe that increasingly, both analytics and AI will be the drivers of the value of information and the determinants of the deployment of that information. So if you think about data in its raw form, having that available is likely to be useful, but having it available with or even in 1,000 dimensions becomes a source of intelligence, not just a piece of data.
Why has the firm decided to go private?<\/strong>
As most companies have realised, it is very advantageous to be private these days because of the burden of being public in terms of having a diverse set of shareholders. The plethora of shareholders can make managing and investing challenging. We also believe that having quarterly earnings pressure can create a short-term difficulty which really restricts one’s ability to invest for the medium to long term and in certain businesses where that type of investments are required. Our board of directors felt that we could be growing faster if we can make additional investments.
What do you make of India’s bankruptcy law, and do you think lenders can deal with the situation here on?<\/strong>
Indian banking system is undergoing well-needed reform and, and really approaching the issue of credit risk in very new and improved ways. There is still a continuing need to supervise non-performing loans and eliminate the build-up of debt that has occurred over time. And the bankruptcy law, as you characterise it, will aid in those efforts . And I think it’s in the national interest to avoid having a series of zombie-type companies, which cannot do anything productive but cannot fail either. It’s much more effective if a bankruptcy law allows for the elimination of those companies over time.
Do you think it’s time to revisit ratings standards and the whole rating framework?<\/strong>
Most credit agencies are not capturing 100% of their information on real-time basis, maybe capturing just 1-2%. Most of them are trying to use analytics to a greater degree. That can be interpreted as taking multiple sources, combining them to gain more insight into a situation. It can also mean adding sophisticated mathematics<\/a> to determine relationships and correlations.
It can also mean going a step further and developing even more sophisticated analytic techniques.
<\/p><\/body>","next_sibling":[{"msid":66505747,"title":"HSBC, ING Bank execute blockchain transaction with Reliance Industries","entity_type":"ARTICLE","link":"\/news\/hsbc-ing-bank-execute-blockchain-transaction-with-reliance-industries\/66505747","category_name":null,"category_name_seo":"telecomnews"}],"related_content":[{"msid":"66506814","title":"company","entity_type":"IMAGES","seopath":"tech\/ites\/tech-cos-may-find-it-tough-to-cope-with-different-data-laws\/company","category_name":"\u2018Tech cos may find it tough to cope with different data laws\u2019","synopsis":"Thomas J Manning","thumb":"https:\/\/etimg.etb2bimg.com\/thumb\/img-size-233321\/66506814.cms?width=150&height=112","link":"\/image\/tech\/ites\/tech-cos-may-find-it-tough-to-cope-with-different-data-laws\/company\/66506814"}],"msid":66508205,"entity_type":"ARTICLE","title":"\u2018Tech cos may find it tough to cope with different data laws\u2019","synopsis":"The notion of regulation of data is certainly a trend. Most people in the industry feel that it would be useful to coordinate among countries or regions of the world, so that we don\u2019t have 100 standards.","titleseo":"telecomnews\/tech-cos-may-find-it-tough-to-cope-with-different-data-laws","status":"ACTIVE","authors":[{"author_name":"Sachin Dave","author_link":"\/author\/479239123\/sachin-dave","author_image":"https:\/\/etimg.etb2bimg.com\/authorthumb\/479239123.cms?width=250&height=250&imgsize=41237","author_additional":{"thumbsize":true,"msid":479239123,"author_name":"Sachin Dave","author_seo_name":"sachin-dave","designation":"Senior Editor","agency":false}}],"Alttitle":{"minfo":""},"artag":"ET Bureau","artdate":"2018-11-05 12:26:18","lastupd":"2018-11-05 12:57:19","breadcrumbTags":["Banking in India","mathematics","Industry","Bankruptcy","Data Laws","General Data Protection Regulation","artificial intelligence","information privacy"],"secinfo":{"seolocation":"telecomnews\/tech-cos-may-find-it-tough-to-cope-with-different-data-laws"}}" data-news_link="//www.iser-br.com/news/tech-cos-may-find-it-tough-to-cope-with-different-data-laws/66508205">
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