I am going to all: how to redefine the IT region in democratic institutions – opinion

By Gregorio Ferrera

Until recently, artificial intelligence has been regarded as a complex and most technical domain, which has been assigned to data scientists, machine learning engineers and special research laboratories. But it is changing quickly. We are entering the new age, where the AI ​​is no longer limited-this is available to everyone.

This change, often recruited as AI Democratization, is already changing the process of working companies. This is not just about automating tasks or improving data analysis. It allows people in all characters and departments to make decisions smarter and fast, without the need to form in calculation.

What is AI’s democracy?

• In its main part, AI is to reduce the obstacles of democracy. Have:
• Natural tools that allow employees to communicate with AI by regular interfaces, often without programming.
• Access to the computational power and storage access required to build and execute patterns.

Expanding training and educational programs to make more people understand how to use AI and how to use it.

Platforms such as Google Automel, Microsoft Copilot or Google Teaching Machine are some examples of how AI can be accessed to users who do not have technology. Result: More teams – from marketing to HR and finance – can automatically solve problems, optimize processes and produce insights.

From tools to transformation

• The democracy process is not through interface. It also includes making data, infrastructure and algorithm throughout the company.
• Data democracy ensures that employees can access and work with the data they need without unnecessary obstacles.
• Resource democratic teams allows for access to computing in the Scalable Cloud without investing in an expensive hardware.

The democracy of algorithms and knowledge has made AI techniques affordable to a wide range of audiences through open source framework and online training platforms.

All these parts – data, infrastructure, algorithms and tools – are strongly connected. AI reception often begins with access to data and computational resources, then expands to the development and use of models throughout the company. When each layer is built on the previous one, the value and effect of the AI ​​on the company increases.

What does it mean to IT departments?

The implications are important for IT departments. Since AI tools are easy to use, its role is no longer control and support, but it becomes a facilitator, consultant and integrator.

• Here are five major effects: A change in roles and obligations in the IT team
• – IT professionals devote less time for general support and to ensure the safe and effective use of AI in systems. Need to solve security and ethical issues
• – As most employees use AI, companies must maintain new risks related to the moral use of data privacy, security and technology. Continuous bet on practice and development
• As AI tools and technologies grow rapidly, effective practice is needed. Integration and Scalable Challenges
• – Make sure that the new AI tools act in accordance with the systems require strategic planning and technical monitoring. More required for cost maintenance

– Although democratic AI can reduce long -term expenses, initial implementation requires careful investment and budget.

The future of sharing

Democracy does not mean replacing people with machines. This means increasing human capabilities throughout the company. Each corner of the company allows companies to unlock innovations – not just in the IT department.

There are challenges: integration, security, training and change management. But the possibility will outweigh the complexity. Institutions who receive IA’s democracy are more ready to innovate, receive and compete in the fast -growing digital world.

When IA mature, one thing is perfect: whose future is not assigned to technical elites. Belongs to everyone.