Artificial Intelligence & Machine Learningin Public Safety

December 15, 2019

Artificial Intelligence (AI), and specifically Machine Learning (ML), are being tested in an increasing number of fields, including data-centric environments. Image or text analysis, speech recognition, chatbot interactions, custom machine learning models… all these are elements that could enable the AI journey of a public safety and security organisation. This document dives into different aspects of integrating AI & ML in Public Safety activities, at different levels and in different domains of activity. It presents ethical and regulatory considerations, real examples from Public Safety Answering Points (PSAPs) and Emergency Response Organisations (EROs), and also initiatives that can benefit the public sector greatly, with a series of recommendations at the end.

Spotlight

IP Infusion

IP Infusion the leader in disaggregated networking solutions, delivers the best network OS for white box and network virtualization. IP Infusion offers network operating systems for both physical and virtual networks to carriers, service providers and enterprises to achieve the disaggregated networking model. With the OcNOS™ and VirNOS™ network operating systems, IP Infusion offers a single, unified physical and virtual software solution to deploy new services quickly at reduced cost and with greater flexibility.

OTHER WHITEPAPERS
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Artificial Intelligence Policy and the European Union

whitePaper | August 30, 2022

In late 2019, then newly elected European Commission President Ursula von der Leyen announced her intent to make regulating the use of artificial intelligence (AI) a top priority for Europe. She promised to “put forward legislation for a coordinated European approach on the human and ethical implications of Artificial Intelligence” within her first 100 days in office.

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Bringing Job Costing to the Field

whitePaper | April 16, 2020

In construction, we are often designing and constructing made-to-order assets, so there is immediately less certainty. We may be dealing with multiple projects for different people, with different schedules, and run by different project managers. Each will be in a different location, with different site footprints, different ground conditions, different access routes, etc. And, partly influenced by their locations, we are often dealing with different suppliers we might select local designers, subcontractors, plant, materials, and product suppliers based on their proximity to the site.

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10 Things You Need to Know About the EU WhitePaper on Artificial Intelligence

whitePaper | March 8, 2020

On February 19, 2020, the European Commission (Commission) published proposals for the regulation of Artificial Intelligence (AI) with potentially far-reaching implications both for users and developers worldwide. The proposals are contained in a densely written 26-page “White Paper” which in this alert we distill down to 10 take-away points. The White Paper, together with the other strategy documents published at the same time1, is vital reading for any business which participates in the data economy, and in particular companies that operate across borders.

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Mitigating AI/ML Bias in Context: Establishing Practices for Testing, Evaluation, Verification, and Validation of AI Systems

whitePaper | August 31, 2022

Artificial intelligence and machine learning analyses are driving critical decisions impacting our lives and the economic structure of our society. These complex analytical techniques—powered by sophisticated math, computational power, and often vast amounts of data—are deployed in a variety of critical applications, from making healthcare decisions to evaluating job applications to informing parole and probation decisions to determining eligibility and pricing for insurance and other financial services.

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AI Test Drive clears the way for business case validation

whitePaper | August 26, 2022

Evolving data centers into intelligent hubs for digitized business processes poses numerous challenges for IT managers. Many organizations are already adopting hybrid IT concepts to make their data center operations more flexible. However, they also have to keep an eye on new requirements such as IoT, AI, blockchain, container technology as well as data security, legal regulations and climate change. How can all this be seamlessly integrated and managed? And, what will matter next for the data center of the future?

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How AI Is Transforming IT Service Desk and Customer Service

whitePaper | June 4, 2021

In this fast-paced and competitive world, the need for speed is vital. This is especially true when it comes to IT and customer service desks. There has been a recent surge of interest in conversational AI platforms that build on all the strengths of AI to help make IT service desks and customer service more efficient.

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Spotlight

IP Infusion

IP Infusion the leader in disaggregated networking solutions, delivers the best network OS for white box and network virtualization. IP Infusion offers network operating systems for both physical and virtual networks to carriers, service providers and enterprises to achieve the disaggregated networking model. With the OcNOS™ and VirNOS™ network operating systems, IP Infusion offers a single, unified physical and virtual software solution to deploy new services quickly at reduced cost and with greater flexibility.

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