Frost & Sullivan
MAY 15, 2024
Exploring Innovative Biometric Applications Across Diverse Commercial Sectors In the present landscape, major commercial sectors like travel, hospitality, and banking are actively exploring innovative biometric applications to elevate their customer experience. billion globally by 2030. billion globally by 2030.
Frost & Sullivan
JUNE 5, 2023
Among the key milestones envisaged in the journey to decarbonized transport include electrification of 80% of two-wheelers and 30% of passenger cars by 2030. lakh crore by 2030. Collaborations are also being seen as crucial to competitive survival.
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Jake Jorgovan
FEBRUARY 9, 2024
His extensive background, including a significant role as a Governance Specialist at the World Bank, underscores his capability to manage large-scale projects and navigate complex stakeholder environments.
ClearPoint Strategy
DECEMBER 10, 2021
The city’s first step in taking a “for-profit” approach to organizational strategy was to create the “ Germantown Forward 2030 ” vision. The 2030 vision was built over a methodical, one-year process by a 30-person steering committee and incorporated input from more than 200 citizens. Origin Bank. Gaining leadership buy-in.
IBM Business Partners
JULY 12, 2023
As a leading financial group in Spain, CaixaBank has long been an innovator by taking a technology-first approach by placing innovation, digital transformation, customer experience and sustainable banking at the forefront of its strategy. This was a milestone that involved the migration of 10.4
IBM Business Partners
APRIL 18, 2023
Our commitment also extends to working with recognized bodies, whether that means working with retail and consumer goods companies, like the Consumer Goods Forum (CGF), to better understand and address supply chain and sustainability challenges, or with a bank and the Banking Industry Architecture Network (BIAN) on the latest regulatory demands.
IBM Business Partners
OCTOBER 20, 2023
trillion to the global economy in 2030, more than the current output of China and India combined.” These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction.
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