Adaptable automation offers air traffic controllers the advantages of increased safety and efficiency while counteracting loss of perceived autonomy.

In the next decade, the six levels of autonomous work will drive augmentation capabilities at first, and then full replacement of tasks, roles, teams, and - ultimately - lines-of-business.

Together, real-time data, automation and AI enable organizations to deliver highly personalized customer experiences, at scale, while driving higher levels of productivity and efficiency.

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered ...

Transportation management systems are beginning to integrate artificial intelligence to unlock new levels of automation, improve decision-making and enable greater configurability.

Robotic process automation will evolve as organizations marry agentic AI to the older technology to remake business processes.

The Future of Warehouse Automation As warehouse automation takes hold, so too will the adoption of flexible automation, even for tasks that seem to necessitate fixed infrastructure. DHL, for example, ...

The levels of automation defined by the researchers can be used to assess progress in the field, help in establishing appropriate safety protocols and set goals for future research in both science ...

Saranya Balaguru is a thought leader in the integration of Artificial Intelligence (AI) with Robotic Process Automation (RPA), with a focus on next-generation business solutions. In her role as ...

In this article, I am going to explore how AI and automation are transforming logistics and at the same time, examine challenges and future directions for AI integration in logistics operations.

Discover how AI, big data, and automation are reshaping operations, driving growth, and why embracing them is essential for staying competitive in the printing industry.