AI Tech, General AI

AI Test Drive clears the way for business case validation

August 26, 2022

AI Test Drive clears the way for business case validation
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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Django Stars

"Django Stars has been developing high-value web apps in Python/Django since 2008, and iOS/Android apps since 2013. Today we are a top agile software development house in Europe with over 40 full-time employees (no freelancers), headquartered in Ukraine (Kiev) with offices in US (New Jersey) and Germany (Frankfurt am Main)."

OTHER WHITEPAPERS
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Best Practices for Secure Access of Third Party APIs from Mobile Apps

whitePaper | September 28, 2022

Mobile apps typically communicate with several backend services over the Internet. In some cases those services may have been developed specifically for that mobile app, but in most cases the app will be dependent on services developed by a 3rd party. This whitepaper discusses how communication with those services can be properly secured, and how Approov’s new runtime secrets protection feature enables significantly enhanced security to be added with a minimum of development effort.

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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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THE INTELLIGENT ENTERPRISE FOR CARGO COMPANIES

whitePaper | November 15, 2019

The demands of running global supply chains can be unrelenting – perfection of operations, innovation in support of lastmile delivery, and assurances of sustainability in the pursuit of delivering the “perfect order” as promised. Now, transportation companies face the additional challenge of sharpening their core competencies while increasing the pace of innovation, adapting emerging technologies, and sharing data with their customers to improve transparency and efficiency. Long characterized by capital-intensive assets, forward-looking cargo companies are turning their attention to the data that comes from their own assets and infrastructure as well as from their customers. It is a complex transition, one that requires knowledge-based labor, automation, and predictive planning to turn transportation companies into digital platforms.

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Artificial Intelligence & Machine Learningin Public Safety

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.

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The Expanding Universe of Low Code / No Code Platforms

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.

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China’s Advanced AI Research

whitePaper | July 29, 2022

China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.

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Spotlight

Django Stars

"Django Stars has been developing high-value web apps in Python/Django since 2008, and iOS/Android apps since 2013. Today we are a top agile software development house in Europe with over 40 full-time employees (no freelancers), headquartered in Ukraine (Kiev) with offices in US (New Jersey) and Germany (Frankfurt am Main)."

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