The importance of the importance of emerging technology for Havlet Pacord Enterprise (HPE) is echoed with any senior executive of CIO Rome Kosala: “AI is in our mind.”
Research suggests that Kosla is far from alone. More than Three-fourths of business leaders (78%) According to a recent McKinse study, his organization has used AI in at least one commercial function.
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Kosla told ZDNET that HPE uses third-party applications with underlying AI capabilities and has spent developing an internal chat solution in the last 18 months, called a generous AI hub Chathpe used for internal processes.
There are four ways from which you can use Kosala experiences to convert AI into commercial gains.
1. Install AI Strategy
Like other blue-chip enterprises, HPE uses many external AI models and technology platforms. Microsoft Copilot is used to promote professional productivity, while developers use Github Copilot.
Kosla said, “The goal here is that, as we deploy licenses to individuals, they take advantage of these techniques, which do their day-to-day work.”
This strategy becomes more interesting around Chaithp, a Bispok platform powered by azure and openi technology.
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Kosla said that the company has a pipeline for cases of use which are evaluated and evaluated. For example, a legal team may want to use AI to review contracts, remove specific insights and generate new templates.
Kosla said, “What we do then work with them, take advantage of Chaithpe, and indicate it to specific sources of data.” “We will also limit access to data, because we do not want people to use information without care and ideas.”
He also explained how the cases of use can take place in other areas of business.
“In terms of operation, it is more around chat. You can think it as something for customer service. For example, there may be a use of an use where people want to find a part number. They use Chaithp to reach information, and technology provides insight to help customers,” Kosla said.
He said that marketing can use Chaithap to identify whether the campaigns can be reused, while the option of cases of the use of finance analytics can be opted.
2. Traine everyone to use AI
Kosla said that his employees often discuss the concept of big companies and minors on their journey to become a mature IT organization.
“If you think of a university, perhaps you are focused on economics, and it is really what you want to do,” he said. “However, it does not hurt for finance, marketing, or a minor learning in computer science. All those things create a full approach about opportunities you can apply.”
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According to Kosla, it is an approach that HPE takes to AI. The company wants all the employees to be capable of various large companies and minors as skill areas.
“If your major supply is in the chain, you should be modest in AI. Or if your main is in AI, you should be modest in the supply chain,” he said. “You have become as diverse as possible in your knowledge, because whatever we are doing is going to cross the boundaries of other areas of business.”
Kosala explained how the concept of big HPE companies and minors is affected by AI-centric learning and development. He said, “We enable that training with our HR system. People can come in and learn. The goal here is to provide AI training to all,” he said.
But this focus does not stop at training-Kosala emphasizes how important is follow-by-the-three even after the fact. “As they adopt technology, my rule is always, ‘If you learn it, you should use it.” Having a certificate is not very good and unable to apply knowledge. ,
3. Put railing in place
Kosla said that it is already clear that AI will allow every organization, work and role, which has an impact on information access. Smart business leaders will focus on managing relationships between agentic technologies and their human counterparts.
“From an IT point of view, I think of control and railing,” he said. “You need a human factor to understand the questions, such as what the machine is doing, and what are the decisions they are making on your behalf? How are you sure that those railings have been tickled, and either hard or widening, what you are trying to do?”
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Kosala said that these railings can only be established and refined by effectively partnership with business.
“Initially a lot of work was around questions,” how do we ensure that we manage quick engineering correctly, that the data being extracted is limited, the amount of training is managed correctly, and the reactions from the engine are accurate? ” ,
He continued: “There are important phrases that we do not want our engine to answer, because potentially, answers can be dangerous or harmful. Therefore, what we are trying to do ensures that prompting is for commercial use, but also that the work does not generate too much questions, because we want to avoid big costs.”
4. Consider where you will go ahead
Kosala said that the internal approach of HPE for AI is mature, and the company will mix in-house and external models according to the requirements. The current attention of the company is to use AI to increase the operational activities of employees.
However, Kosala also admitted that the AI agents were developing quickly. His company already uses software from other providers, such as SAP and salesforce, which are implementing agent services.
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HPE is considering that one of the major questions is AI’s orchestation in its end-to-end operating model.
“If we orchestrates between two providers and they have two separate agents, but one person is using both and they pive their chair between one application and the other, then they can find that they don’t talk to each other,” they said. “So, we have found to build that orchostration layer, or we have to find the best practice around that issue.”
Kosala said that these technical issues would make some publicity around the agents.
“When you think of a person, they are not bound by an application,” he said. “And it is the challenge that we are facing. Selling a lot when coming to agents. But you are not an agent who only finances – you also interact with finance, quotation, pricing, and all those systems together.”
