Agentic AI: The Future of Automated Software
Agentic software is set to revolutionize the world of automation by taking automated software programs to the next level. This new technology has the ability to conduct business operations from start to finish without any human intervention, streamlining financial processes and improving decision-making within companies.
According to Huang, a representative from Nvidia, the company responsible for the computing power behind generative AI, agentic software is the next wave of advancements in the field. Companies like OpenAI are already working on developing these next-generation digital assistants, transforming workflows and driving productivity across sectors.
In the realm of fraud prevention and detection, agentic AI can analyze patterns and detect anomalies in payment transactions, helping to identify potential fraud without any human intervention. Ahsan Shah, senior vice president of analytics and AI at Billtrust, predicts a shift towards agentic AI in the near future, optimizing processes and enabling personalized recommendations, campaign management, and strategic decision-making.
While the benefits of agentic software are substantial, businesses must also consider ethical and privacy implications, data security, and the need for ongoing monitoring and adjustment of AI systems to ensure optimal performance and compliance. As AI continues to transform various industries, the use of agentic software presents exciting opportunities for increased efficiency and productivity.
Analyst comment
Positive news: Agentic software is set to revolutionize automation by streamlining financial processes, improving decision-making, detecting fraud, and optimizing accounts receivable. It has the potential to increase efficiency, reduce errors, and drive productivity across sectors. Companies like OpenAI are already working on developing these next-generation digital assistants.
Short analysis: The market for agentic software is expected to grow as businesses seek to leverage AI automation for increased efficiency and productivity. However, ethical and privacy implications, data security, and ongoing monitoring and adjustment of AI systems should be considered for optimal performance and compliance.
