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For this Downing Age of Agent AI, we need to fully consider the construction of the software. The current enterprise APIS was created for human use. Future API Multi -Model will be a native interface.
“We need to make a type of APIS that will work well with agents, because the agents are the ones who are now going to communicate with the API, not humans.” AnatomySaid during the year AI breakfast during the year VB Transform.
Korean spoke on the current and future of AI agents with fellow AI practitioners AI Lane Tomson Bokovic, engineering and product leader with storage and computing services. AWSAnd from tufni, the SVP of the product for the platform and the enterprise Atlantic.
“I want to think five years later, the agents will join the mainstream,” Korean said. “Today we face many challenges that will probably be overcome with better tooling, if there is a sign of the last two and a half years. How many will you be ready? Today is dependent on your investment.”
How is the Invoices being paid and AWS is rapidly supporting migration
Is using anti -agents and looking “amazing progress”, “Korean reported in the Stage Panel, which was moderated by Betty Perity, Innovation & Design Partner Boy.
Specifically, the Financial Technology Platform Company has added automatic invoice generation and reminders to it Quick Boxes Offer, famous in small and medium -sized business (SMB).
“We have seen that businesses get an average of five days faster, and it is 10 % more likely that the invoices are paid,” Korean said.
AWS has also seen success AWS TransferTomson Bokovic said, a fertile infrastructure. Net, Main Frame, and VMW works the workloads to AWS.
The traditional migration scene, as he described: a user goes to the application owner and for example, transmits his Windows application to AWS -based Linux applications. “And guess what they will say?” Take a number. You are the priority number 42. ‘ ‘
But now, businesses can do the majority of these migrants with AI aid. “Your generalist teams are able to do more work themselves, and this reduces the questioning of the expert,” said Tomson Bokovic. “It is changing the migration as an industry.”
“Finally, AWS and others will be closely tied to how consumers are using AI,” he said. He wondered how incredible developments in AI “really force us to take a new shape, a hot tech” how applications can be built.
“When we develop agent infrastructure and we add AI to our business mission, we just work at work with not taking technology,” said Tomson Bokovic. “We are actually changing the nature of the workforce, the workplace.”
He added, “We’re seeing this right now. We are seeing that it is fast.”
How is the Atlasian learning from interior and users with experiences
Atasin has taken a view from the inside for AI agents.
For example, the project management platform has launched an on -boarding agent to help new employees access all the content needed to start with their jobs. In the first month of the launch, the agent made 7,000 applications. Now, to talk, is just a regular part of the ship’s process.
Meanwhile, the company’s market team has numerous interface points with consumers, which can make it difficult to combine all the necessary contexts. Atlasin has created a customer agent that draws all this data together, and to report that it is one of its most famous agents, which is used by 80 teams in the whole company. “I use it a little before talking to consumers,” he admitted.
In Atlasin, ‘Dog Food’ has a strong responsibility – using one’s own products and services. Then the work can be translated into what the ships of the Atlantin are out of the box to consumers.
“This is not only coming from engineering,” he said. “So what can you do with the program to bring each one’s creativity, collect ideas, design workflows?”
The company recently arranged its ‘teamwork collection’, a selection of apps – Jira, Sangam and Lom – by ‘Rao agents’. It is built on its platform and supports various aspects of the cooperation process. For example, before a meeting, the agent will collect a “really excellent summary” based on the confluence pages and Gira tickets.
“So when you go to this meeting, you now have all this common context.” “You’re not trying to update each other, you can really spend time on important strategy decisions.”
Atlasin estimates that this particular use issue saves at least four hours per person per week. Particularly, customer Harpercolins has used it for “big effect”, which is mentioned.
Consumers are using AI agents in various complications, he said: Sometimes they are just offloading work, collecting data or writing release notes. For the second time, they are deepening in raw data and pre -building strategic roadmaps.
To explain how Atlasin has created a graph layer above its data, which provides deep intelligence on how data is connected. For example, businesses can analyze their goals along with team structures and plans. “This is not just a HR org chart,” said.
“When you think about how people are currently developing their software development life cycles, a large part of it is building roadmap and preferring strategies,” he said. “But it can be very dynamic, and it is difficult for humans to take into account all this figure. The agents we are seeing are now really popular with consumers, in fact they are already preparing the strategic roadmap.”
To emphasize the importance of making effects with users, noting that, in the last three months, Atlantic users have customized 10,000 different versions of the company’s out -off box agents.
“This is a really huge pond of the impression data that helps us to understand how they are embedded in their workfloose.” “I think the really interesting thing about this wave is that this is the process of co -operation to design with users.”
To earn confidence, build it by going
Korean emphasized that trust is the foundation stone of any product and it should not be different from the AI. Consumers want to know what the agent is doing behind the screen and controls its actions. This requires strict review process.
He said, “With the new waves, a new weakness has come.” We have developed a strong process where we are identifying the life cycle in which an agent fits and creates the right process for this stage. ”
To emphasize the fact that it is more than raw technology. People should cooperate, prepare a full solution together and tap in experience. The industry has to invest in strong data architecture and have the right context of the data so that the AI ​​agents can make powerful decisions we are asking them.
“Where it is really interesting when it is a superpower in your organization, when it is able to help you make better decisions, release better products, re -examine your goals, get more competitive than the company.”
He said that there have been many waves of innovation in the past years, but it is the same with AI. “I feel like AI, this is a seafood. This is a moment of moment, well, okay? Ai is quite different from all other waves.”
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