Reported exposure to generative AI tools, % of respondents

The state of AI in 2023

This is just the 𝐒𝐓𝐀𝐑𝐓, and the use of π†πžπ§πžπ«πšπ­π’π―πž π€πˆ is currently hugely common! 🀯πŸ’ͺ The results of the survey, which was conducted in mid-April 2023, show that the use of generative AI tools is already widespread, and respondents expect the new capabilities to transform their industries for the better πŸ“ˆ. Generative AI has attracted the interest of the entire business population: people from different regions, industries and at different levels are using AI at work and beyond. Statistically, more than 79% of those surveyed say they have had contact with generative AI, and almost 21% say they regularly use it in their work!πŸ§‘β€πŸ’ΌπŸ§‘β€πŸ’». The solution, as we can see, is most prevalent in the technology and financial services sectors (in terms of industry), reflecting its rapid integration into various businesses. The place where generative AI is growing the most is North America. However, Asia-Pacific and other markets are not far behind πŸ–₯οΈπŸ—ΊοΈ. Generative AI will become an integral part of various industries and organizational strategies – that much is certain – which is why the McKinsey study highlights the rapid development of generative AI in 2023 🌐. However, despite such rapid growth, the overall use of artificial intelligence tools has remained steady, leaving companies with ample scope to capitalize on disruptive technologies. As the potential of generative AI continues to develop, deploy and explore, the future of innovation looks promising and is full of opportunities βœ….


RPA and AI combine for intelligent automation

Intelligent process automation – RPA and AI join forces πŸ€– 🧠 Business Process Automation (RPA) and Artificial Intelligence (AI) are two of the most innovative technologies of recent years. Both have the potential to significantly improve business processes and increase organizational productivity. The combination of RPA and AI enables the creation of intelligent automation that can surpass the capabilities of either technology separately. With intelligent automation, systems can learn on their own and adapt to changing conditions, make decisions based on data analysis, and perform tasks that are too difficult or complex for humans. As a result, the quality and precision of the tasks performed improves. πŸ“ˆ The introduction of intelligent automation is a common step after traditional RPA, which excels at handling repetitive tasks without supervision. The next step is to expand automation capabilities by adding artificial intelligence to RPA, which is proving to be a key element for business. By using AI tools such as intelligent document processing or NLP, it is possible to automatically categorize emails or understand their content to handle unstructured text. πŸ“„ πŸ“© Examples of applications of intelligent automation: πŸ’° Finance: accounting, payment reconciliation and financial reporting. πŸ“Š Administration: scanning documents, creating reports and sending correspondence βš™οΈ Production: quality control, production monitoring and production planning πŸš› Logistics: transportation planning, shipment tracking and warehouse management πŸ’¬ Customer service: answering customer inquiries, resolving problems and filing complaints We are experts in designing and implementing automation solutions that help our customers improve efficiency, reduce costs, and enhance customer service. πŸ“Š We are confident that we can help you achieve your business goals with intelligent automation! πŸ˜ƒ Get in touch with us! Author: Joanna SioΕ‚a, Customer Experience Specialist