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Moving beyond the Hadith: 93 % of IT leaders will launch artificial intelligence agents in the next two years, says Salesforce
Everyone talks about artificial intelligence agents. But so far, it was a lot, speaking well.
It is scheduled to change in 2025, according to Salesforce – artificial intelligence agents have become real. According to a new survey from the Integration and Automation Programs Company MULESOFT93 % of the institution leaders who implemented or planned to implement artificial intelligence agents in the next two years.
However, institutions continue in the conflict with delivery times – 29 % of projects, for example, missed this brand in 2024 – 80 % of data integration says is one of the biggest challenges it faces when using artificial intelligence.
“Integration challenges prevent companies from achieving technology capabilities completely to create a boundless digital workforce,” Andrew Kumstock, SVP and GM of MULESOFT told Venturebeat. “The integration is incredibly essential to make artificial intelligence customers work because the outputs of the artificial intelligence agent depend on the connected data that allows a comprehensive understanding of the context and the nuances of the user’s information.”
Institutions are still struggling, but they see Amnesty International formed
The tenth annual Slesforce report of MULESOFT Connectivity Connective Resistance 1,050 of IT leaders. One of the main results was that today’s institutions use 897 applications on average. Moreover, the number of artificial intelligence models used by institutions (from nine in 2024 to 18 this year), and organizations that use agents with approximately 22 model of artificial intelligence are much more than those that do not use factors (15).
However, only about 29 % of these applications are connected, and the majority of respondents (95 %) says they are struggling to integrate data across systems.
Comstock explained that these integration problems affect the accuracy of the agent’s agent. They need to collect organized and unorganized data from various sources, including ERP resources (ERP), customer relationship management (CRM) and human capital management platforms (HCM), as well as emails, pdfs, stagnation and other decisions to make decisions And decisions make action.
Information technology leaders see a great value in APIs (APIS) – which allows different applications to speak with each other – saying they are useful when it comes to improving information technology infrastructure and data sharing through teams and integrating different systems.
Through the correct integration and the application programming interface, “agents” can interact directly with their current systems and their promoters and other agents throughout the institution, so that they do not have to renew everything for the world of artificial intelligence.
The survey also found that IT leaders expect 18 % increase in projects this year, and they will spend on average $ 16.9 million on IT employees in 2024, more than twice that in 2023. However, approximately 40 % Of the time of information technology teams is spent on the design, construction and testing of a new integration between systems and data.
“This is an incredibly high percentage to spend on exhausting work,” Komstock pointed out. “Every action is more than the available resources, which leads to accumulation, delay and lack of efficiency. The agents, as we think, can bridge the IT gap.”
In fact, most of the information technology leaders included in the survey (93 %) says that artificial intelligence will increase the productivity of their developers over the next three years.
Komstock said: “The digital labor force can act independently in business to carry out all of the simple and complex tasks successfully, allowing increased productivity and efficiency.” He pointed out that the institutions will eventually exceed the simple artificial intelligence agents to “super factors”, which do not only respond to one thing, but they follow a goal and perform complex human tasks.
The bottom line: The leaders of the institutions see already – and they test – artificial intelligence at work. As it becomes clear this week, “Dibsic has changed the foundation line for what we think we can do,” Komstock said.
“We see more willingness to talk about the things that artificial intelligence will do, more than just a kind of scenes,” he said. “What we see from these standard studies is that IT leaders are ready for that conversation.”
How to use the Credit Union Penis and ADECCO Anti -IQ agents
Pen Credit Union Does one of the Salesforce agent already sees the benefit of artificial intelligence agents. In less than eight weeks, the third largest federal credit federation in the country created two new support channels-direct agent chat and chatting on Agentforce-with only one engineer.
The company uses MULESOFT to collect data on one unified platform. Comstock explained that service agents give a 360 -degree angle to member data, allowing them to provide better and faster support with support options for live chat and self -service. The branch representatives can also deal with multiple types of customer requests in one window.
As a result, Penfed now solves 20 % of cases when first connecting to the acting Chatbots, and increasing chat activity and Chatbot by 223 % last year. Like or not, the credit federation also increased the membership by 31 %.
“Members get selection channels when they need help,” explained Komstock. “They enjoy short waiting times because they do not repeat the same information when they speak to the service representatives, because the information is connected together more effectively.”
The leading talent company ADECCOAnd at the same time, use Agentforce, MULESOFT and Salesforce Data Cloud For the decentralization of more than 40 different systems. The company processes 300 million requests annually and sets a million people daily. However, through its traditional tools, employees can only respond only to a small part of the applications they receive, and unintentionally searching for a large number of candidates.
To address this problem, Agentforce will independently and automatically rule through CVs and combines short candidates ’lists based on pre -defined standards such as skills, experience or site. After passing this list to human recruits, the model will then notify the candidates who were not well suitable and suggest alternative roles. Komstock explained that the goal: to eventually respond to 100 % of the applicants.
Likewise, Agentforce will help in job publications, identify the most effective councils and platforms based on previous success rates and regional needs. This will remove the need for employment to manually spread the menus.
“It is about” how effective to make our employees and edit them to do the most important part of their jobs, and the pieces that really distinguish and provide value? He pointed out Komstock.
He pointed to other examples in which artificial intelligence agents can communicate on behalf of a sick worker on a specific day and needs to find an alternative. Or, the product agent can answer questions and provide documents, and when something is raised outside their jurisdiction, contact other agents to obtain the answer.
“You can attack the customer service, you can attack the success of the employees, you can attack a variety of different vectors,” Komstock said.
The feedback rings will accelerate the adoption later
Since companies adopt artificial intelligence agents, they will test an accelerated note episode, note: will become their next collection of published agents faster and more intelligent.
He said: “This course is something that we will start seeing the best companies you adopt, and it will be an incredible discrimination for them as they think about how to build their business.”
He pointed out that the agents do not see – at least “as they were currently built” – to replace people. Instead, it is a “incredible supplement” to what humans do, allowing them to expand more effectively and do the work they want to get.
“It is exciting, because this is the real place,” Komstock said. “This is the place where it moves beyond the conceptual. People place the agents in their place and are able to measure positive returns, whether from a higher line or an effect on their business.”
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