The city of Syracuse has more than 1600 vacant properties that it regularly monitors to ensure public and building safety. This project seeks to modernize and enhance the City’s capabilities to monitor its vacant buildings by using sensor technology deployments that can lead to scalable and long-term solutions.
The goals of the project are to make it quicker/easier for the city’s building inspectors to identify safety issues that could lead to damage to the vacant property or neighboring structures, such as water damage, fire/heat, compromised doors/windows, or exterior code violations like tall grass, snow accumulation or illegal trash dumping. Three sites in the city with a minimum of three vacant properties clustered at each site will be targeted to assess and test a technology solution based on a combination of in-building sensors. A video-based solution will also be tested in at least one of the sites. The information from a diverse set of sensors relayed via IoT gateways will be used for monitoring the conditions of each property which will feed an early-warning system for when building inspectors should be dispatched outside of their regular scheduled visits to a property and assess the impact of such a systems with city officials.
The project is expected to complete activities in April/May 2022.
]]>Prof. Carlos Caicedo talks about how the MS in Enterprise Data Systems (EDS) program at the iSchool is planning to leverage its strong alliance with RedHat and its Ansible Automation Platform to help aspiring network engineers prepare for the ever-changing automation industry and acquire the much-needed skills to shine in this era of innovation. He also talks about how the EDS curriculum not only focuses on the latest technology but also fosters a culture of innovation and collaboration to teach its students how to quickly respond to the evolving infrastructure needs keeping in mind the business goals and objectives.
]]>This webinar, hosted by Michael Fudge, provides an overview of dev ops technologies like containerization, scripting, and source code management.
]]>This webinar, hosted by Assistant Professor Radhika Garg, discusses (non-)use of emerging technologies, such as the Internet of Things, under the lens of “(Non-)user as a network”.
This early work-in-progress argues how power relations of stakeholders (organizations, regulators, policymakers) and social influences affect the way users decide to use or not use a technology.
]]>Modern enterprise IT environments have been undergoing a series of transformations over the last few years due to the rise of new technologies, services, and operational paradigms. The traditional IT professional that would be sifting through cables, managing physical servers, and interacting with networking equipment via command line interfaces is disappearing.\
A new kind of enterprise IT professional is needed. One that understands the challenges, complexities, and business value of technologies and trends such as cloud-based infrastructure and services, containers, software-defined networking, and network virtualization, just to mention a few.
In this presentation, Professor Carlos Caicedo will describe many of these trends and how modern enterprises that rely heavily on data-based services and infrastructure are embracing or need to embrace the flexibility and capabilities of many of these trends to enhance their data-centric operations today and in the near future.
]]>Countless Data Science (DS) tools are touted as basic requirements for almost any organization. Ironically, these recommendations are too often based on opinion rather than data. In this talk, Prof. Acuna will showcase preliminary research on trying to understand past and future trends in DS by using DS itself—or DS of DS.
Prof. Acuna uses historical records of open DS tools together with their actual usage over time. With unsupervised and supervised analyses, his preliminary results suggest that tools around Hadoop, SQL, and MapReduce have been steadily declining over the years, whereas tools for time series analyses have become surprisingly popular.
Prof. Acuna will then discuss how this new way of looking at the DS tool market might improve training for aspiring Data Scientists.
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