Microsoft recently stated that the AI and the performance of agents involve learning about management concerns, including representatives, repeating, indicating and refining technology.
Tech veteran research suggested that the need for someone to manage these teams of AIS has led to the development of a new role, agent boss, which is responsible for the best performance of these fast -emerging technologies.
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So, what can a great agent boss look like? Five business leaders gave us their opinion.
1. Decisions can be trusted
Group CIO Antony Hossdorfer at Auto Breakdown expert The AA said that successful managers would prove that agents can distribute the price and operate safely.
He said, “I am very open to AI and want to see how we can use it. After listening to a lot of conversations around AI, you can apply anything completely,” he said. “However, whether that application will provide a real result for your, your business and your customers? To effectively answer that question means that you should be focused on how to use agents.”
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When it comes to the safety aspects of using AI, Housador told ZDNET that officials would have to ensure that agent technologies make good decisions.
“How can you audit those decisions and improve the agent so that it is not creating prejudice, and taking a safe and effective decision?”
Housaderfer referred to the operation of his company, suggesting that effective managers would ensure that agents could be trusted.
“We are taking care of people on the roadside. I need to make sure, before we apply AI in that process, that the technique is ready,” he said. “It is a matter of being able to audit and review those decisions and says,” I am comfortable that AI is taking a safe decision. “
2. Develop a mixture of characteristics
CEO of Bev White, Technology and Tallant Solutions Proidor Nash Squarder said that successful leaders would need to be favorable to a new paradigm where AI systems decide and take autonomy.
“Instead of only responding to the signs, the agent AI will lead fast and manage the entire processes on his own,” he said. “This situation raises new questions and requirements for leaders.”
White told ZDNET that four features would be important. First, adaptability – successful leaders will understand the unique characteristics of the AI system and how to integrate them into your teams.
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Second, governance and accountability – leaders will need to direct AI beliefs and direct the decisions made by their teams to maintain moral standards and organizational alignment.
Third, the leaders will have a forward -minding mentality, which fears AI’s possible impacts on their industry and organization.
White said, “They will need to ‘think further’ about how AI can be leveraged to run innovation and competitive advantage.”
Finally, White said that leaders would need sympathy, as human elements are important for successful adoption and adaptation of AI.
He said, “Leaders should focus on the good of their team members, ensuring that AI is used to increase human abilities, rather than replacing them.” “Agentic AI will take all of us to new places and new ways of working. Leaders need to bend in this reality, it needs to find out what it will mean, and support your teams so that the agent AI itself helps to run the desired results instead of an end to an end.”
3. Embrace constant change
Vivek Bhardwaj, the creator of Clothing, in Happy Socks, said that effective leaders would be a system thinkers who understand the importance of their role in the era of growing automation.
He said, “In a brave new world, in which efforts are made by these agents AI systems, the value you provided will be a true discrimination.”
Bhardwaz told ZDNET that successful agent would be about professionals who would be at higher levels to increase the price chain to suit the requirements of customers.
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He said that effective managers in this new world will also be comfortable to embrace change.
“I mean anyone who is going to succeed needs to be cured that things change,” he said. “They need to be an agent to change themselves instead of getting nervous. If a train is coming towards you, you are a better person who knows how to run the engine.”
4. Install the correct balance
CIO Rome Kosla in Hewlet Pacord Enterprise (HPE) said that management agents would be one of the most important concerns of our time.
He referred to NVDia CEO Jensen Huang’s comments in CES In January, in which he said that it will become an HR of AI agents in future.
Huang suggested that IT teams would be assigned to the onboarding agents and ensure that they are kept in line, similarly HR teams manage employees.
In short, the IT professionals will soon look after the fleet of digital workers – and this is a suggestion that came out with Kosala: “An interesting concept is going to be, ‘How do we manage agents?” ,
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He told ZDNET that the relationship between experienced human coders and knowledge-rich agents would develop over time.
“Does everyone know every line of the code? You have domain knowledge professionals, and they become experts. The agent will also play at that place,” he said. “I think the question of successful management of agents is something we are considering over time. I also feel that it is one of the open-ended questions that require a lot of coffee.”
5. Create a federated approach
CTO Manish Jethwa at the UK National Maping Service, Ordnance Survey (OS) said that the management of agents is unlikely to come under the purview of any person or team.
“This is going to be some type of federated approach,” he said. “I don’t think a single function is going to be responsible for all agents. I think the agents will end to be an expert within each organization.”
Jethwa told ZDNET that he expects OS to build agents over the long term that helps the organization access and manage data.
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He estimated a situation where the questions are answered by the agent experts in line-of-business works that draw information from a repository.
“This seems like the right approach, a one in which each organization will own its expertise, and they will draw on a generalization layer at that level,” he said. “Because agents should be tuned for the interface they are connecting, it is correct for the maintenance of the agent AI, which also stays close to building the capabilities. Therefore, if we are building APIs that allow access to our data, the agents should stay close to those teams.”
