Category:Data

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Data SuperCluster (DSC)
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Team Members Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks, Ltd, KC Digital Drive, ThinkBig Partners, Center for Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis
Blueprint City Platform
Data Website

Data SuperCluster (DSC)

Data SuperCluster aims to address friction stakeholders experience in the deployment of or operations of IoT CyberPhysical systems. These include business case, privacy guidance, licensing frameworks, and citizen outreach. Additionally, the Data Supercluster is driven by an overarching intent to encourage grassroots, corporate and scholarly proofs of business value and economic sustainability in Smart and Secure Communities and Cities. The Data Supercluster continues to engage with industry leaders, Universities and Colleges, community leaders and solution providers to synthesize a value proposition and means to prove its economic and stakeholder value.

We're soliciting stakeholder engagement by sharing our research and relevant articles tagged by our team to help those with an Action Cluster proof in progress. Those who care to share their experiences in a Podcast format can contact Alex at aspen dot ai to participate in the Podcast series.

The DSC recognizes that regulation can impede and create friction in business and solutions. The DSC reflects the concept that a compass and map is more powerful to innovation and deployment more that step-by-step narrowly defined and approved approaches. We continue to see an acceleration in the technology used for visual processing, vibration analysis and determine the signal that is often hidden in the noise of end point data collectors.

A major trend that is shaping Data value, is the nature of interconnected Data sources, transfer points, and Cloud computing. The computing now taking place at the Edge of the network is crucial to security and privacy. By distributing the processing costs to powerful edge devices, costs decline and performance of the network is more predictable.


High value Data is available via over 2600 sites globally. The DSC vets and distributes lists of directories available for innovators to use in their Action Cluster planning and proof projects. The Data SuperCluster recognizes that Machine Learning and AI applications require high-value datasets, often provided by Cities / Communities as well as Citizens. Flexible open licensing encourage sharing and can help establish a life-cycle of value where derivative works carry a licensing framework that assures access rights to others building on the original data, inference engines, machine templates, and AI applications.

The DSC recognizes that community leaders by virtual of identifying the metrology around Smart Cities drive the evolution that supports that metrology.

By agreeing on what we measure, all cities can then apply the data in a manner that allows each of us to address our unique challenges regardless of the size, governance or location of our municipality. DSC encourages open data exchanges, that build paths between various value add functions in the emerging IoT and Internet interfaces.

In 2018, the SuperCluster merged with Data governance and exchange SuperCluster to create Data SuperCluster. Data governance and exchange is one of the primary challenges to the deployment of smart cities technologies today. The data governance challenge has two main components. Many cities have successfully implemented data management and open data solutions for public data.

There is not yet developed a comprehensive strategy for handling all of the data from thousands of IoT sensors available now and envisioned for the future. Cities are interested in IoT technology as a way to improve operations and the delivery of services. What is a standard, but flexible and customizable framework that will allow cities to use and exchange IoT data for public value while protecting public privacy and trust? GCTC’s Data governance and exchange SuperCluster aims to address the challenge of building a governance and exchange model for IoT data and a plan for governments to successfully customize and deploy it. The group will work to collect best practices and produce blueprints for data exchange and governance, as well as deployed proofs to share with other teams and stakeholders.

Chair(s)

  • File:Scott tousley.jpg
    Scott Tousley, Splunk,
    Splunk
    _
  • Alex Huppenthal, Founder and CEO,
    Aspenworks, Ltd.
    _
  • Jason Whittet, Associate Director,
    Solutions Development and Innovation,
    100 Resilient Cities

Leadership Team

Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks, Ltd, KC Digital Drive, ThinkBig Partners, Center for Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis