Why 2025 will be the year of AI harmonization?

In the world of technology, we like to call periods of (insert major event here) years. Last year (2024) was a year of broader experiments in AI and, of course, agent use cases.

As 2025 opens, VentureBeat spoke to industry analysts and IT decision-makers to find out what this year might hold. For many, 2025 will be the year of the dealership, all betas, experiments, and new Artificial intelligence use cases They converge into something resembling a return on investment.

Additionally, VentureBeat experts spoke to see 2025 as the year in which AI orchestration will play a bigger role in the enterprise. Organizations plan to make managing AI applications and agents more straightforward.

Here are some of the topics we expect to see more of in 2025.

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Swami Sivasubramanian, Vice President, Artificial Intelligence and Data at OsHe said 2025 will be the year of productivity, because executives will start paying more attention to the costs of using artificial intelligence. Proving productivity becomes essential, and this starts with understanding how to optimize multiple agents, both within internal workflows and those handling other services.

“in agent world“Workflow will be reimagined, and you will start questioning accuracy and how you can achieve five times productivity,” he said.

Palantir Chief architect Akshay Krishnaswamy agreed that decision makers, especially those outside the technology stack, are starting to get anxious about seeing the impact these AI investments will have on their businesses.

“People are feeling really overwhelmed about more sandboxing, because it comes on the heels of the whole data and analytics journey over the last 10 years, where people have also done a lot of experimentation,” Krishnaswamy said. “If you’re an executive, you’re going to be wondering, ‘This has to be the year I actually start seeing some ROI, right?’

An explosion in coordination frameworks

By 2025, there is a greater need to create infrastructure to manage many AI agents and applications.

Chris Gangareddy, Managing Director at Deloittetold VentureBeat that the coming year will be very exciting. The competitors will face off langshen and other AI companies looking to offer their own orchestration platforms.

“There are a lot of tools catching up with LangChain, and we will see more new players emerging,” Gangareddy said. “Even before organizations can think about multi-agent, they’re already thinking about orchestration, so everyone is building that layer.”

Many AI developers have turned to LangChain to start creating a traffic system for AI applications. But LangChain is not always the best solution for some businesses, as it includes some new optionsMicrosoft Magnetic or LlamaIndex But in 2025, we expect to see an explosion in more new options for organizations.

“Orchestration frameworks are still very experimental, with LangChain and Magnetic, so you can’t go with just one,” said Matt Wood, global business technology and innovation lead at PwC. “The use of tools in this area is still early, and it will grow.”

Better agents and more integration

AI agents are becoming the biggest trend for organizations in 2024. As organizations prepare to deploy multiple agents in their workflows, the potential for agents to move from one system to another is becoming clearer. This is especially true when companies are looking to demonstrate the full value of their customers to executives and employees.

Platforms like AWS foundationand even Slack, provide connections with other agents from salesforce Agentforce or service now, This makes it easier to transfer context from one platform to another. However, understanding how to support these integrations and Teaching orchestral agents Identifying internal and external agents will become an important task.

As agent workflows become more complex, the latter group of more powerful inference models, such as OpenAI recently Announce 03 Or Google Gemini 2.0can make coordinating agents more powerful.

However, all of this will be for nothing if companies don’t actually have their employees using new AI tools in 2025.

Don Fu, Chief Data and Analytics Officer at New York Lifetold VentureBeat that the last-mile problem of employees often choosing more manual methods rather than AI will continue into the next year.

“The last-mile problem is something we’ve all put on our feet in 2024, understanding that managing change, re-engineering business processes, may not be as exciting as building an agent that can do all these amazing things,” Fu said. “Changing human behavior is harder than deploying an app.”

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