New York (November 2, 2023) – In response to ongoing inflation and growing pressure to transform, the financial services industry is seeking to boost efficiencies by doing more with less. But despite the benefits offered by the cloud in speed, scalability and business agility, many companies are making missteps during the process of migrating their business to cloud-based infrastructures. Inefficiencies in these areas cost companies 14% more than their anticipated spend each year and have created months-long delays for more than 38%.
As part of GFT’s work to digitize the legacy processes that stand between companies and their ability to compete in the market, the company is expanding its partnership stateside with Digibee. Digibee’s integration platform helps organizations build flexible and scalable integration architecture. Together, the companies seek to reduce time spent on data migration and integration by as much as 50%. Digibee’s track record of success in this area of companies’ cloud migration journeys has attracted investment from Goldman Sachs, which led the company’s $60 million Series B funding round this year.
AI-Enabled Efficiency is Top of Mind for Growth-Minded GFT
As GFT’s U.S. growth spree continues, increasing efficiencies in the large-scale digitization projects of American banks, financial institutions, insurers and private equity firms has become a defining characteristic of its approach. Together, GFT and Digibee will reduce the resources required for the data transformation aspects of their digitization projects. They will simultaneously increase the speed at which they bring new products to market. GFT and Digibee have a shared mission of leveraging AI-powered processes to automate and streamline the digital transformation journey. Digibee recently announced a new AI Generator for Pipeline Documentation, while GFT has unveiled GFT AI.DA Marketplace with a comprehensive use case library, methodologies, reference architectures and preconfigured solutions ranging from virtual banking agents to automated fraud detection.