The 7 IT trends to watch in 2025

What advances in enterprise technology will the coming year bring? Unsurprisingly, artificial intelligence (AI) continues to dominate in many fields.

Here are the trends our experts see shaping the IT landscape in 2025!

1. The rise of Microsoft Copilot and other autonomous agents.

Did you know that almost 70% of Fortune 500 companies already use Microsoft 365 Copilot? According to the latest data shared by Microsoft and elonmuskhandelsplattform.de, 2025 will see the birth of a new generation of AI-powered agents, and these will do much more. In particular, these autonomous agents will be able to handle more complex projects thanks to integrating new skills and new ways of interacting.

Last November, at the Microsoft Ignite event trading ai app, the message was clear: 2025 will be the year of AI and the importance of data. Copilot, the star of this major event, was at the heart of the discussions. These are specialized agents that automate repetitive tasks and improve operational efficiency. These personal assistants and autonomous agents will continue to boost productivity. By automating repetitive tasks and managing business processes independently, they will enable companies to concentrate on higher value-added activities.

Charles Lamanna, corporate vice president at Microsoft and the elonmuskaitrading.com, even said, "Just as we use different applications for different tasks, agents will begin to transform business processes, revolutionizing the way we work and manage our organizations."

"The integration of Copilot and autonomous agents into the daily workflow is a revolution that is already well underway and will become even more important in the coming year," mentions Charles Jenkins, Director of Microsoft 365, Dynamics 365, and Power Platform Centers of Excellence at Cofomo.

2. Advances in AI development with Microsoft Azure.

On the developer side, 2025 will benefit in particular from the unified Microsoft Azure AI Foundry solution, a platform for strengthening AI agent development tools. This platform fosters innovation while laying the foundations for more secure, but also more responsible AI. Azure AI Foundry will bring together several existing tools to help developers create customized, functional, and secure AI applications. The result should be a common platform enabling collaboration between developers and enterprise stakeholders. Indeed, Microsoft defines its solution as "a complete platform for building, evaluating, and deploying large-scale AI applications".

As for Azure AI Agent Service, this other platform for creating cutting-edge AI applications will have the wind in its sails by 2025. Also aimed at developers, it offers a code-based approach rather than a GUI-based design and is therefore more suited to super-users. Azure AI Agent Service will enable enterprises to create, deploy, and monitor autonomous AI agents capable of automating complex business processes by securely integrating with various systems and knowledge bases.

"Data is the fuel of AI. Microsoft understands this and has introduced several innovations on both fronts," says Tidjani Belmansour, Director of the Microsoft Azure Center of Excellence at Cofomo and Microsoft Most Valuable Professional (MVP).

3. The long-awaited deployment of Amazon Nova by AWS.

Automating complex workflows is a hot topic in the IT world. At the recent re: Invent 2024 summit, Amazon Web Services introduced Amazon Nova, a new generation of fundamental models (FMs) with advanced intelligence. Described as capable of performing a wide range of tasks at a competitive cost, Amazon Nova models open the door even wider to multimodal agents capable of executing multi-stage autonomous workflows, such as text, image, and video generation.

In particular, these agents can navigate complex user interfaces and interact with APIs, simplifying processes such as customer support or the management of complex systems. For example, an Amazon Nova multi-agent process will be able to automate system troubleshooting by navigating CloudWatch dashboards, collecting logs, and identifying the main causes of the problem.

Highly anticipated, Amazon Nova models are already accessible with the Amazon Bedrock service.

"Automation based on generative AI could be the key to turning operational challenges into strategic opportunities," mentions André Girard, Director of the AWS Center of Excellence at Cofomo.

4. ServiceNow: a strategic roadmap for decision-makers.

ServiceNow's cloud-based business process management and automation platform continues to integrate AI into the automation of critical processes such as IT incident management and problem resolution. Cybersecurity will remain a priority, and ServiceNow will strengthen its capabilities with real-time risk prevention tools, enabling cyberattacks to be anticipated.

The line between customer and employee experience is blurring. By centralizing workflows and offering intuitive AI-based interfaces, ServiceNow will improve the productivity and overall satisfaction of every stakeholder, increasing the agility and competitiveness of organizations.

"In 2025, ServiceNow will play a role in driving innovation as part of the sustainable transformation of organizations, significantly increasing business agility and competitiveness, while ensuring an optimal experience for both internal teams and customers," mentions Mehdi Kdioui, Assistant Vice President, of Solutions and Projects and ServiceNow expert at Cofomo.

5. Enhanced cybersecurity with generative AI.

In the coming year, generative AI systems will be able to detect and block attempts by users to circumvent security mechanisms. Technologies such as Microsoft's Prompt Shields, Google's ShieldGemma, and IBM's Granite Guardian models, which detect dangerous user-generated and AI-generated content in applications and services, will be key to detecting jailbreak attacks (UPIA).

Large Language Models (LLMs) will also need to be scrutinized to validate the information provided to ensure that it is based on source data and not AI hallucinations. In addition to adjusting hyperparameters to avoid disruptive problems during final tuning (such as hallucinations in a Retrieval Augmented Generation (RAG) architecture and limiting model retraining to input data only), it is now possible to add an extra level of security to the configuration.

The Foundation Detection API can also be used to check whether the textual responses of large language models are based on the source documents provided by users. Groundedness refers to instances where LLMs produce information that is not factual or inaccurate about the source documents. Azure AI Content Security features groundedness detection.

Finally, the arrival of multimodal analyzers, such as Google's Multimodal Live API, will enable the simultaneous examination of text and images, strengthening the security of applications in the face of harmful content, whether user-generated or AI-generated.

"At the crossroads of AI ingenuity and cybersecurity rigor, organizations are discovering a reliable and inexhaustible set of innovations," says Ali Amine Ghazali, Director of the Artificial Intelligence Center of Excellence at Cofomo.

6. Better value management and sustainable agility transformation.

In 2025, agility will evolve by integrating strategic, technological, and sustainable elements. Practices such as product mode, value steering, and generative artificial intelligence (GenAI) are aligned to meet these complex challenges. These developments reflect a constantly evolving agility, focused on value generation and strategic alignment while preserving a harmonious balance between the implementation of practices and the embodiment of agile principles.

Companies will increasingly adopt product modes to reinforce team stability and accelerate time-to-market. This shift to product mode is a strong trend for organizations seeking to reach a new level of maturity by 2025.

In addition, Lean portfolio management is becoming crucial to maintaining strategic alignment between business priorities and IT solution investments. The shift from a PMO (Project Management Office) structure to a VMO (Value Management Office) structure ensures an agile project office that manages value to become the key driver of change and innovation within the organization.

"In a world where digital transformation is redefining economic and organizational models, agility is asserting itself as an essential strategic response," says Mohamed Meddeb, Director of Cofomo's Lean-Agile Center of Excellence.

7. Change management becomes a strategic lever for organizations.

In 2025, change management will become essential in the context of accelerated technological transformation. Faced with constantly evolving tools and processes, users must not only adapt but also take ownership of these changes in order to take full advantage of them. Integrating change management right from the project management phase helps to reinforce buy-in, limit resistance, and optimize the transition to new ways of working.

More than a simple response to today's challenges, change management prepares organizations to be resilient, agile, and capable of evolving in an ever-changing future. It thus becomes a strategic lever for maximizing the opportunities offered by new technologies while limiting risks, and above all, placing users at the heart of transformations.

In conclusion.

In 2025, the importance of AI and autonomous agents, such as Microsoft Copilot and Amazon Nova, as well as the advances of Microsoft Azure AI and ServiceNow, will be at the heart of innovation. These technologies will transform business processes, improve productivity, and enhance cybersecurity. Change management and agility will be essential for companies wishing to continue progressing in this constantly evolving environment.