Interop ITX 2017 Schedule Builder

Interop ITX 2017 Schedule Builder

View, browse and sort the Interop agenda by track, pass type, format, session day/time, and conference journey. With the Interop ITX Schedule Builder, you can build your schedule in advance and access it during the show via export or in your Interop ITX Mobile App.

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  • Leveraging Big Data for Business Success

    • Kirk Borne  |  Principal Data Scientist, Booz Allen Hamilton
    Location:  Room 104
    Format: Workshop
    Conference Journeys: Business/Data Analyst, IoT
    Track: Data & Analytics
    Pass Type: All Access, Summits & Workshops - Get your pass now!
    Vault Recording: TBD
    Audience Level: Business/Data Analyst

    The world is now flooded with data, thereby forcing data operations and data assets into core business discussions, developments, and decisions. These processes will soon become even more intensive through massive streaming data coming from ubiquitous sensors in the Internet of Things. This digital revolution is a disruptive and powerful force for business change. These pressures are driving organizations to adopt a data-driven analytics strategy using data science and machine learning.

    Data science refers to the science of insight discovery and knowledge extraction from large data sets. Data science is now being used in countless vertical markets, industries, and settings to drive discovery (of new opportunities, markets, and customers), better decision-making (such as improved customer engagement and personalization), and creative data product innovation. Machine learning refers to the set of algorithms that power the data science and analytics.

    In this workshop, data scientist Kirk Borne will review the key characteristics of data science, particularly the main types of discovery that are enabled by machine learning algorithms. He will then look at ways that we can take our analytic capabilities upward and outward: upward to the peaks of analytics maturity (from descriptive to predictive to prescriptive to cognitive), and outward to the edge of the network (mining business intelligence at the point of data collection).

    He will introduce the concept of the self-driving organization, and how analytic methods can enable rapid event detection, novelty discovery, and event diagnosis (machine-informed triage) in your business, while also enabling predictive modeling (of customer behavior, organizational risks, and business-critical outcomes) for proactive response to changing business conditions.