global trade banking design market
Generative AI in banking: A next-generation financial outlook

Report overview Generative AI in banking represents a transformative leap in the way financial institutions operate, interact with customers and manage data. The technology, which involves artificial intelligence systems that can generate text, images and other forms of data, is increasingly being integrated into a variety of banking processes. Also read: Generative AI revenue in fintech market to surge to $16.4 billion in 2032 this Global Generative AI for the Banking Market is expected to grow significantly, reaching an estimated value of approx. will reach US$13.957 billion by 2033, rising from dollar 818 million exist 2023. This rapid expansion highlights the increasing integration of generative AI technology in the banking industry. The market is expected to grow at a compound annual growth rate (CAGR) 32.8% From 2024 to 2033. This market is expected to experience significant growth over the next decade as financial institutions increasingly adopt artificial intelligence solutions to enhance operations such as fraud detection, customer service automation, personalized…

global trade AI onboarding
Onboarding new employees using generative AI

Generative artificial intelligence (Gen AI) is onboarding workers across industries at a record pace. Traditionally a labor-intensive practice, Gen AI significantly reduces the time it takes humans to design and implement onboarding, and may even improve the overall experience. Also read: Generative AI revenue in fintech market to surge to $16.4 billion in 2032 Gallup research found that only 12% of new hires believe their organization does a good job onboarding new employees. This number is staggering, so if Gen AI can increase that number to half, the long-term retention benefits will be huge. Gallup also found that employees with good onboarding satisfaction were 3.3 times more likely to think their jobs were more beneficial than expected. Gen AI can take corporate content (video, audio, and text) and extract and deliver it in eLearning modules. For example, getting a new warehouse manager familiar with everything from company culture to day-to-day responsibilities can sometimes take anywhere from three weeks to a…