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"In our open and connected world, no player can claim they have full control of the value chain including innovation. Innovations emerge every day from all digital players, whether they are large companies, start-ups, private and public research laboratories or competitive clusters.” Jean-Bernard Rampini, Executive Innovation & Corporate Venture at Sopra Steria
One of the main challenges of today’s Aerospace Supply Chain Practitioners is to manage their operations in such a complex and volatile environment. The Supply Chain purpose of fulfilling customer service promise while controlling costs within the overall industrial chain has become harder, in particular because Aerospace manufacturers are facing a lack of visibility in their supply and delivery processes.
New technology helps maintain production and increase productivity at operating facilities by reducing the need to send technical experts between factories. By using HoloLens 2, Microsoft Teams, Intune and Dynamics 365 combined with a design-drive process, you can get a solution that gives on-site technicians support and help from remote experts.
Apart from internally developed IP’s given in the previous edition we also have an ecosystem of mature market leading companies, start-ups as well as labs and universities to build competency in their offerings and use them to help our clients. Following are some of the offerings from the ecosystem.
Sopra Steria has been investing in AI led software engineering in order to help our clients not only reduce cost and gain efficiency but also empower their businesses by making the processes more responsive and scalable.
In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management, Requirements, design and development phases. In this edition we will see how subsequent Testing, Deployment and Operations activities are affected by AI.
In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management, Requirements gathering, Design phases. In this edition we will see how software development activities are affected by AI.
In the previous edition of the series, we have seen how AI transforms the software engineering lifecycle, specifically Management phases. In this edition we will see how Requirement engineering is affected by AI.
From reducing carbon footprint to improving energy efficiency, the surge of sustainable business continues to increase in prominence. To attract new business, talent and investment, companies are required to demonstrate, that they are putting their climate change strategies into action.
As seen previously, digital experience and platform offerings call for a massive amount of software with frequent new services, and regularly updated and deleted new features. Long-established companies adopting an Enterprise Platform model must then own a new Digital Innovation Factory encompassing a Technical Platform.
60% of backend developers use containers in their work. Relying on cloud-native technologies, defining as modern applications packaged in containers, deployed as micro-services, running on elastic infrastructure, and managed through agile DevSecOps processes fits very well with large enterprise who very often encompass a wide variety of software technologies.
Covid-19 pandemic has showed that the most digitalized companies, the digital-first companies, were the un-constable winner of this challenging period. Providing business activities through advanced digital experiences or platform offerings, these companies has kept their customers and partners engaged and happy in this challenging period.
Using various AI techniques such as machine learning, deep learning, natural language processing (NLP), information visualization etc it is possible to guide the software engineering professionals with AI enabled decision making and automations.
CIOs are expected to partner business, and at times leads, the delivery of digital transformation. The existing IT landscape of a company needs to be rationalized and modernized to be able to achieve the expected business velocity.
74% of French companies consider chatbots as a lever for digital transformation and more than a third have already deployed one. By 2020, 80% of them could use a chat assistant. A massive deployment that echoes consumer habits: 69% prefer the bot to a human exchange.
According to Gartner, for every dollar invested in digitalisation in 2020, three dollars will have to be invested in the modernisation of IT assets. Therefore, opting for the right evolution strategy becomes a crucial issue. Read more.
With the aim of covering current and future needs of society, Data Science and Artificial Intelligence are seeking to drive the creation of technological solutions that benefit users in their daily lives. Many disciplines are uniting behind this cause, with health sciences to the fore, especially given the current context of the battle against the Covid-19 pandemic.
Long gone are the days when holograms were the stuff of sci-fi movies and video games. Holographic technology is taking the medical world by storm, and by the looks of it, it’s here to stay. So how exactly is this technology helping doctors, and what are the major developments that we expect in the near future?
Whilst there is no set definition of artificial intelligence as of yet, experts are in agreement that AI can simulate human cognitive capabilities such as perception, reasoning, action, and learning. AI now promises to completely transform the industrial sector – one of its primary applications.
The 53rd International Paris Air Show 2019 has confirmed the mounting fierce competition in the world of aeronautics. In this context, data, digital tools and artificial intelligence are now understood to be precious bargaining chips to accelerate transformation and turn these challenges into opportunities.
Innovative and fast cloud services are crucial to digital transformation initiatives. Whilst there is no textbook model on how to adopt these services, it is nonetheless vital for companies to integrate them as fully optimised services in order to control their ROI.
With increasing travel demand and new competitors entering the market, aircraft manufacturers today are under considerable pressure.
Using public cloud services means rethinking your IT financial management.
In the 1990s, the combination of computer-aided design (CAD) and the concept of modular documentation gave rise to the first ASD standards (AeroSpace and Defence Industries Association of Europe).
Simple set-up, low cost and access to the horizontal elasticity of the Cloud: replatforming is often considered the best solution for porting a business application to the Cloud.
How to modernise an application efficiently using the Cloud?
To attract new business, talent and investment, companies have had to demonstrate their environmental credentials more and more over the past years to wide range of stakeholders including institutional investors, regulators, clients, and employees.
While the dream of the flying car has often been reserved for science fiction, a very practical and real future is gradually emerging for urban air mobility.
DevOps is revolutionising agile transformation for big business. The method was initially focussed on software building but by automating production, it frees up resources so as to better resolve organisational and human malfunctions.
Earlier this year, the world’s largest container shipping company Maersk fell victim to a massive ransomware attack from the infamous NotPetya malware.