Capgemini launches Smart Foundry EVS
Global digital consultancy giant, Capgemini, has announced the launch of their latest enterprise; an end-to-end DevTest environmental management solution which will help standardise and automate development testing procedures.
Called Smart Foundry, the system is driven by Nutanix Hybrid Cloud Infrastructure and Plutora’s Value Stream Management platforms. Displaying impressive performance results, Smart Foundry increases the time-to-market speed by up to 60%, reduces expenses by an estimated 40%, and lowers environmentally caused faults and provisioning hold-ups by 80%.
The new environment management system enables financial services institutions to increase their speed-to-market capabilities within a cloud-like experience.
Speaking about the launch, Ajay Walgude, Vice President of Capgemini’s Financial Services, said; “Smart Foundry is designed to bring in intelligent integrations, more automation and self-provisioning capabilities to expedite ‘efficient route to live’ along with ‘effective QA’ in the Software Development Lifecycle.”
He said that automated, intelligence test environments were essential components for financial services institutions and that Smart Foundry’s partnership with Nutanix and Plutora was instrumental in the platform's success: “We teamed with Nutanix and Plutora, who deliver next-generation technology, to achieve these goals. This is not just an engineering solution. Capgemini has leveraged its deep domain experience across sectors to build industry-specific environment solutions to address functional and non-functional testing requirements using Smart Foundry.”
Remaining innovative in terms of software development and management, has, said Jeff Keyes, Vice President of Product, Plutora, become a defining element of success for competitive businesses. “Software drives innovation and it has always been our intention to help organizations to shape their business through amazing software and stay competitive through continuous innovation.”
He added: “To compete in today’s constantly changing landscape, it’s vital for organizations to focus on driving successful outcomes and increasing business value, and the importance of VSM in that pursuit is essential when building a holistic environment management solution like Smart Foundry.”
Manoj Gupta, Vice President of Systems Integration at Nutanix, agreed, saying that automation was at the heart of Smart Foundry. “Many organizations struggle with maintaining visibility and managing overheads for their DevTest environments, due to over-reliance on manual processes and the lack of standardization.”
He added; “Capgemini’s Smart Foundry, built on industry-leading Nutanix Hybrid Cloud Infrastructure platform software, gives organizations a standardized, high-performing, continuous testing solution with measurable benefits such as shorter development lifecycle, improved software quality, high developer productivity, and significant cost saving
AI and the future of global trade
Artificial intelligence (AI) is becoming entrenched in our daily lives, but the technology is still surrounded by misconceptions and skepticism. Ask the public and they may jump to dystopian scenarios where robots have taken over the world.
While this makes for a good sci-fi blockbuster plot, the reality is different and more benign. Those products that Amazon suggested you buy? AI. That TV series you were recommended to watch on Netflix? AI. That self-driving Tesla car you crave to take for a spin? You guessed it: AI.
There is no single industry that is not being re-shaped by technology. Until recently, however, there was one noteworthy exception: global trade. Fortunately, that is slowly changing.
The mechanism that underpins global trade – trade finance – is an industry that remains largely paper-based and reliant on manual processes. This US$18tn a year industry is now being influenced by a new wave of technological innovation, including AI.
Exploring the potential of AI in Trade Finance
AI refers to the use of computer-aided systems to help people make decisions or make decisions for them. It relies on large volumes of data and models to make sense of information and draw intelligence.
In trade finance, AI is helpful in analysing quantitative data, and the repetitive nature of trade finance means that there is a lot of non-traditional data at our disposal.
This means that when trade finance providers need to assess the risks of funding a transaction, AI models can be a very efficient tool for data analysis and reveal intelligence and risks relating to small companies.
AI helps the industry move beyond traditional credit scoring processes, which are often outdated and remain reliant on historical accounting entries – a barrier that prevents small companies from accessing trade finance and has resulted in a $1.5tn global shortfall.
Overcoming the barriers
AI can tackle this shortfall by creating accurate credit scoring models. This can include a company’s payment history, measure the risks of funding a transaction, identify supply chain risks, and benchmark them against their peer group.
Trade finance providers can use this information to communicate effectively with their SME clients, ultimately helping establish better business relationships.
Towards a technological utopia?
The adoption of AI has the potential to do a lot of good in the industry, and the industry is in the early stages of radical transformation.
Advances are driven by fintechs as well as a willingness to change. The industry is working together to create new infrastructure for distributing trade finance assets to other investors in a transparent, standardised format.
The creation of infrastructure is possible due to improvements in technology and integrated across the trade ecosystem in cooperation with banks, insurers, and other industry participants.
It’s collaboration at its best: together, the industry is using technology to re-shape global trade as we know it.