Want to access your bank accounts inside your accounting software? Or take out a loan in an e-retailer's checkout basket? Is finance about to disappear? The global finance industry was worth, by one estimate, $22.5 trillion in 2021. This vast market – encompassing banking, insurance, loans, payments, savings and more – comprises a quarter of the world's economy.

Automation has changed the course of data entry mechanisms in the manufacturing industry. Modern technology tools and techniques have brought a whole world of revolution, providing extensive support to the manufacturing sector in their daily needs of recording entries and building data sets. Automation offers the ability to streamline process workflows and create an error-free and user-friendly database. Manufacturers rely on automation to drive accuracy, precision, and process enhancements while maximizing operational efficiency. Real-time data helps manufacturers analyze lead times while providing precise and timely estimates.

From accountancy to anti-fraud measures, the various technologies that exist under the FinTech umbrella have always deployed the latest innovations. When it comes to the application of artificial intelligence (AI) in finance, startups are proving to be every bit as important as the tech giants that dominate the AI space. In Europe, startups up and down the continent are turning to Big Data and machine learning techniques to answer challenges as diverse as the FinTech ecosystem itself. With the global market for AI in FinTech expected to be worth $54 billion by 2032, PYMNTS looks at five European startups that are paving the way. In the realm of accounting software, machine learning is used to automate routine data entry and analysis.

Payroll automation - reduction in the percentage of calculation errors: Errors are an integral part of calculation, especially, when we are managing different groups of employees having their own structure of pay rates and hours worked. Furthermore, calculation calls for taking input of monthly paid or unpaid leaves, overtime, shift differentials to avoid both over / under payment to employees. Manually calculating employee hours is unproductive. Payroll robots can easily process information either from a time tracker software or excel spreadsheet, on the hours worked including overtime and absenteeism. Payroll automation - switch to paperless office: Many offices effortlessly automate the main payroll tasks, however, there are many ancillary areas in payroll processing that includes a lot of paperwork.

Today's businesses are facing a new kind of problem: they have too much data. It affects large and small businesses alike, from logging a day's worth of receipts in a local café to dealing with millions of customer records in a multi-national enterprise. But while large corporations are using AI to tackle their data overload, many smaller businesses are more reluctant to embrace the technology. It's not as if SMBs don't believe automation can help them. In fact, SMB investment in automation is on the rise, and two in three say it helped increase their productivity during the pandemic.

While the customer needs change in the wealth management sector, the adoption of digital technologies has remained slow. A new generation of customers are now joining the market, and their needs are influenced by new technologies. Wealth managers need to provide faster and more convenient services with a digital experience in a more volatile and uncertain environment created by the Covid-19 pandemic. McKinsey states that wealth management firms can not overcome these challenges without digital transformation. This article explores 4 key digital technologies transforming the wealth management sector.

Many people often asked about the difference between Robotic Process Automation (RPA) and Artificial Intelligence (AI). Some even confused the two to be the same. To make matters worse, many vendors are now brandying about terms like Intelligent Automation (IA) or Intelligence Process Automation (IPA). For the uninitiated, all these jargon can be very confusing, and perhaps daunting. To help you out, we have put together this blog post to highlight the key differences between RPA and AI, particularly in the context of process automation.

The ranks of fintechs using Banking-as-a-Service to attract small business users to their sophisticated apps just got a jolt. An elephant by the name of Intuit just entered the room. But it's not just fintechs that are looking over their shoulder. Thousands of community financial institutions that consider small business relationships their bread and butter are -- or should -- be taking notice. Intuit, with its popular QuickBooks accounting software, is arguably the best-known brand among the small business community.

Governments are leveraging the benefits of AI and robotics in many fields like healthcare services, transportation, defense, and national security. Governments are rapidly accepting the use of AI, which is opening up new opportunities for innovation in government services, like taxation. Tax is the primary source of money for the government which is necessary to support all the public sector functions. Collecting taxes from citizens in a shorter time and reducing the number of tax defaulters increases the effectiveness and efficiency of tax collection. Effective and efficient collection of tax enables the government to make adequate investments in public sector functions.

Computers and automated systems continue to change the way we do business and what humankind is capable of. From the printing press to the assembly line to home PCs and mobile devices, technological developments which once would have been unthinkable have now become commonplace parts of the world and the workforce. RPA (Robot Process Automation) now joins the ranks as one of those technologies that might seem unthinkable even now, but will soon become commonplace. If you're looking for ways to streamline operations, to handle repetitive tasks that have thus far resisted automation for whatever reason, then RPA may be able to close that gap. RPA or Robot Process Automation uses artificial intelligence and machine learning to automate repetitive tasks in a way that mimics human behavior.