Harnessing Financial Data: How AI Can Make Retail Banking and Payments Better and Safe

whitePaper | July 28, 2022

Before the pandemic, the path to AI adoption used to be slow and steady. According to the survey of industryleading firms, only 48% of companies deemed AI and Big Data a source of innovation. In 2021, this number has climbed to almost 65 percent.

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 | November 15, 2021

A few key decisions need to be made before you can start building your new API. In this preparation phase you should define the application domain semantics, decide what API architectural style you are going to use, and form an API style guide.

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 | September 22, 2022

Last year, the UK Department of Digital, Culture, Media and Sport (DCMS) published its 10- year National AI Strategy for the regulation and promotion of artificial intelligence (AI) in the UK (Report). DCMS seeks to build “the most pro-innovation regulatory environment in the world” and vows to make the UK the “best place to live and work with AI” over the next decade. Since then, the UK government and regulators have taken various steps towards this aim, with the Report anticipating a large number of AI-centric publications and consultations. Some key examples (and their latest status) are summarised below, including a policy paper and white paper on a pro-innovation national position on governing and regulating AI, an Information Commissioner’s Office (ICO) consultation on the beta version of its AI and data protection risk toolkit, and a consultation on copyright and patents for AI through the UK Intellectual Property Office (IPO).

whitePaper | September 29, 2021

Penguin Computing’s Analytics Practice acts as a single point of reference for hardware, software, architectural design, and much more, enabling organizations to focus their energy on their AI projects. Access this white paper to learn more about this secure, end-to-end solution designed to alleviate AI infrastructure woes.