In 2024, the robotic process automation (RPA) market will shift due to four major trends. These include (you guessed it) artificial intelligence’s effect on RPA, shifts in the market landscape, changes to RPA’s place in the larger automation landscape, and new data management methods.

52% of customers pay more for a product if they anticipate an easy shopping experience – PWC Adyen’s research reveals a $3.3 trillion global opportunity, representing the potential revenue shift from negative to positive shopping experiences for retailers. Businesses that excel in tailoring services to meet customer needs and desires are adept at offering personalized recommendations and support throughout the entire buying journey.

As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.

Parallel processing in computers is like having an efficient team working on different parts of a task simultaneously. In traditional programming, tasks are executed one after the other, like solving a puzzle piece by piece. However, parallel processing divides the task into smaller chunks, and these chunks are handled simultaneously by multiple processors or cores. Python provides modules that allow programs to leverage multiple processor cores efficiently.

Dear our valued customers, users, and partners, Cheers to a New Year filled with exciting possibilities! We hope you welcomed 2024 with joy and surrounded by your loved ones. As we close the chapter in 2023, we're excited to share a snapshot of the year's dynamic journey with you. From breaking through challenges to introducing cutting-edge features, your partnership has been key to our success.