A Truly Software-Defined Storage System

whitePaper | April 16, 2020

Front Line Consulting (FLC) is a government consulting firm—and majority veteran-ownedand-operated Project Manager-as-Agent. Presently, FLC is managing a group of 60 publicly-funded projects for Travis County, home of the unequalled Austin, Texas. Front Line’s responsibilities include meeting a tight “substantial completion” deadline defined in public forum, coming in on (taxpayer-funded) budget, and keeping elected officials apprised of financials and material progress in projects within their respective jurisdictions.

whitePaper | 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.

whitePaper | June 30, 2022

Low code and no code (LCNC) development platforms expedite the creation of new applications with minimal or no coding requirements, as well as offer tools for non-programmers to create applications of their own. Low code development was introduced in the early 2000s to increase developer productivity. It uses a variety of approaches that automate and abstract application development activities, such as drag and drop editors, code generation, component assembly and model-driven development.

whitePaper | July 5, 2023

Never before has the launch of a new technology so rapidly fired the imagination of enterprises and consumers alike. The arrival of ChatGPT in November 2022 showcased the potential of Generative AI powered by Large Language Models (LLMs) in addressing a vast array of new use cases. These use cases were previously unimaginable with conventional computing and analytical AI (now sometimes described as “traditional” or “classic” AI).

whitePaper | July 20, 2022

In recent years, the use of AI in organisations has drastically increased. As a result, lawmakers around the world have been paying close attention to the developments in the field of AI too. While there is no comprehensive legal body in Switzerland and the EU that regulates the use of AI today, there are clear signs that Swiss and European organisations should prepare for stricter regulation.

whitePaper | December 29, 2022

In our modern world, taking advantage of Artificial Intelligence (AI) to gain insights from data is becoming more prevalent day by day. Graphical Processing Unit (GPU) systems use multiple cores to perform parallel processing, running select workloads to decrease processing times. Compared to GPUs, Central Processing Units (CPUs) have fewer cores; previously, this resulted in less capacity for parallelized processing. To move beyond this limitation, Intel has released new hardware that runs typical AI mathematical computations more efficiently on the CPU, and has also released libraries with hardware optimizations that enable an additional increase in performance.