Artificial Intelligence (AI) is one of the most important advancements when we talk about innovation. The size of your impact is reaffirmed by hundreds of market professionals. The research "Before IT", the Strategy, from 2024, presented by IT Forum Intelligence, in June of this year, it shows that 49% of the 308 respondents consider Artificial Intelligence "very important" for business – reiterated relevance, yet, with an investment forecast of US$ 200 billion by next year in technology companies, according to the IDC Worldwide Artificial Intelligence Spending Guide.
Belonging to the technology segment, it is common to think that those responsible for creating new AI applications are the developers, right? Well, I say no. So that the solutions are developed assertively, the guidance must come from those who understand the pains of the business
I explain better. The team leading the projects in a specific area has the necessary knowledge to identify where AI can generate the greatest impact. They know what the market needs, the demands of customers and the specific challenges of each segment. Without the assertive knowledge of how the solution should act, there's no way the process can flow 100%. Recently, NetApp sponsored the study "Scaling AI Initiatives Responsibly: The Critical Role of Intelligent Data Infrastructure," which showed that 20% of AI projects fail without data infrastructure.
Research with this bias is essential to reinforce the need for the specific business team to dictate how AI solutions should be directed to solve real problems, increase efficiency and generate tangible value. On the other hand, IT professionals, with your technical expertise, they turn these ideas into reality, ensuring that the technology works effectively
After clarifying the issue of who thinks of the solution and who develops it, it is important to highlight the synergy between the two areas. The collaboration between strategy and technology is essential for the success in the application of the tool. It's not just about creating the technology, but to ensure that it is implemented safely and efficiently.
Another point that reinforces the need for business leaders to be at the forefront of creating AI solutions is that these are not universal. What is effective in the financial industry may not work for retail or healthcare. Therefore, the business, with industry knowledge, guides the development of these solutions so that they meet the particularities of each segment.
Finally, the frequent monitoring by developers and business feedback is essential for the continuity of the tool's effectiveness and evolution. Since technological solutions are always evolving and a single tool and version will not deliver the expected effectiveness and evolution forever.
When those in charge of the business understand how AI can be applied in their operations, the articulation with the development team flows. In this way, misunderstandings or communication failures are minimized or even cease to exist. Clarity about the needs and objectives of the solution allows the technical team to deliver tools that are more aligned with specific needs, resulting in more agile projects and greater return on investment
Artificial Intelligence at the boardroom table
