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  • owned

    Owned, in common slang, means decisively defeated, with the implication of domination and possession. The term is often used to describe the results of competition in sports and business. Continue Reading

  • The key steps to launching blockchain implementations

    Bill Caraher, CIO and director of operations for a Wisconsin law firm, is one believer in the huge impact blockchain technology -- a peer-to-peer distributed network used to validate transactions and other records -- can have on legal services. Blockchain implementations, he said, could "lead to speedier resolutions, [and] it could lead to better evidence gathering [and to establishing] foundation for a case" and have other "sweeping implications" for this industry. Indeed, the technology's potential use cases are a hot talking point among Caraher and fellow observers of blockchain -- but figuring out which use cases make sense and putting them into action demand a lot of work. The effort involved in implementing blockchain will depend on many factors, including vertical industry, having the right software and hardware, and more.

    In this issue of CIO Decisions, Editorial Director Sue Troy lays out the four key stages of blockchain implementations, including identifying use cases, running proofs of concept and launching field trials. Plus, we explore how one healthcare CIO used cloud computing to bridge the disconnect between IT and patient care; get MIT Sloan cybersecurity expert Stuart Madnick's take on how to build a better defense against dark web hackers; and delve into innovative ways to close the tech skills gap.

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  • Who owns the IoT data?

    The Internet of Things is cool and its doors are new and enabling. But the battleground will mainly focus on IoT data: the ownership and control. Continue Reading

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  • Three questions for IBM blockchain expert Arvind Krishna

    How many nodes is enough for consensus? Who owns blockchain data? IBM blockchain expert Arvind Krishna addresses these and other burning blockchain issues in this SearchCIO tip. Continue Reading

  • Courting the Internet of Things: Legal issues to weigh

    Attorney Mark Foley explores two Internet of Things legal issues -- data ownership and intellectual-property rights. Continue Reading

  • Effective analytics depends on preparation of data

    In simple terms, successful analytics depends heavily on how well the information is prepared. Except it's not that simple. Many data scientists believe preparation of data for analysis is the biggest challenge they face, and it's all the more formidable in the era of big data. Beyond pulling data from their own internal sources, organizations must reach into the universe of websites, sensors, customer email messages and social networks bombarding them from all directions. To handle this information onslaught, data scientists potentially can find solace in an emerging class of self-service tools to aid them in the preparation of data.

    In the first part of this handbook, consultant David Loshin explains how business users and data scientists can use data preparation tools to get more comprehensive and customized views of data. Next, reporter Jack Vaughan examines how self-service data preparation tools with machine learning helped a BI team at one company streamline report creation and business users at another company to load data, put integrations together and see the effects immediately without burdening the IT staff. In the final segment, Vaughan returns to address the long-running data warehouse controversy and the concept of using data curation to smooth the process of data discovery, cleaning, transformation and integration.

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  • Pondering the question of IoT data ownership

    As the use cases for the internet of things continue to expand into various sectors and the benefits of analyzing that data collected from IoT grow, the question of IoT data ownership and access privileges is coming to the fore. But we can't simply rely on traditional laws and regulations to set policies around IoT data, writes columnist and former CIO Harvey Koeppel. Instead, he says, we need a different way of thinking: one that will enable us to catch up with the fast evolution of IoT and other technologies.

    In this SearchCIO handbook, Koeppel lists four broad, comprehensive questions around IoT data ownership that CIOs and IT execs should be considering and collaborating around to ensure not just their companies' success, but also the advancement of our society. In our second piece, CTO Niel Nickolaisen delves into why he thinks the "technology everywhere and in everything" world has moved IoT security and privacy to the top of CIOs' priority lists. In our last piece, Features Writer Jason Sparapani looks into two thorny IoT legal issues: data ownership and intellectual property rights.

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  • Taking the guesswork out of data ownership

    From the outset, data and data ownership have always been key components of IT, even as the focus of technology leaders has evolved. In the early days of information technology, the industry was all about just what its name suggests: leveraging technology to transform data into higher-value information. Today, however, times have changed, writes CIO expert Harvey Koeppel. He urges CIOs to turn their focus back to the data in order to meet the needs of the digital business world, transforming information into knowledge and knowledge into insights.

    In this SearchCIO handbook, Koeppel explores why digital business is driven by data and not technology, and provides eight tips for CIOs to keep up with the times. In our second piece, CTO Niel Nickolaisen describes how a heated debate between software engineering and operations resulted in a data governance manifesto for today's digital times. And finally, Senior News Writer Nicole Laskowski digs into how Goldman Sachs built a graph analytics platform for various use cases, including compliance and fraud detection. Continue Reading

  • Part-time data stewards can enrich data governance programs

    Data governance programs often rely on the part-time data steward -- an employee from a business unit who also serves as a data expert. Continue Reading

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