Wittenborg Assistant Professor Discusses Revolutionary Technology Agentic AI

11.12.2024

Nikita Pahwa Highlights Future Transformations of Various Sectors

To discuss the possibilities and consequences of Agentic AI, a groundbreaking technology in Artificial Intelligence, Wittenborg Assistant Professor Nikita Pahwa recently gave an interview to ‘Data Geek’, a newsletter targeted at MBA students from Christ University in India.

According to Pahwa, unlike traditional systems, Agentic AI can make plans, complete tasks end-to-end and learn from experience. “Agentic AI is a revolutionary advancement in Artificial Intelligence, particularly significant for the industry’s future. It can execute a sequence of actions in response to a single request, breaking down complex tasks into smaller, manageable steps. This capability can transform the way we plan, prioritise and manage tasks,” she explains.

Pahwa underlines that Agentic AI has the potential to transform various sectors like marketing, software development, sales, lead generation, IT infrastructure, IT operations, finance, human resources and healthcare.

“Agentic AI can revolutionise day-to-day operations, such as inventory optimisation and demand forecasting. It can create end-to-end customised marketing campaigns for companies, and it has further potential to create customised ads for different customer segments. The use of Agentic AI can also revolutionise the healthcare industry by enabling daily monitoring of physical and mental health and providing customised treatment plans. Additionally, Agentic AI could streamline the software development cycle and enhance cybersecurity,” she exemplifies.

The researcher explains that implementing task automation with AI requires customised solutions for specific business processes. “By implementing Agentic AI, businesses have learned that its adaptability and minimal need for human intervention can lead to automating repetitive tasks, which can be time saving. These systems can further advance problem-solving skills and scalability in various departments, which is highly beneficial for organisations.”

However, certain aspects need to be addressed while creating customised Agentic AI, including data and privacy issues along with ethical considerations. “Since these models are customised for each business, human oversight is essential to address transparency and accountability issues arising from the use of diverse training data. Organisations must also be aware of bias in training datasets for AI, which then leads to AI also being biased. The integration of AI in complex work processes can be time-consuming and companies must be willing to anticipate potential problems while training their AI model,” Pahwa says.

The lecturer concludes by emphasising that Agentic AI will become an integral part of business strategies over the next few years. “Agentic AI will play a crucial role in the workplace in the near future; even if not fully integrated, some parts of every organisation will surely implement these systems into their workflow. This shift may require the workforce to adapt to these new AI systems, potentially making some jobs obsolete.”