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Have you ever stopped to think about how Artificial Intelligence (AI) has the potential to be the engine of your company, but somehow, it seems like the car isn't going anywhere?
This feeling has a name: it's the "paradox of digital ambition ." In Latin America ( LATAM ) and the Middle East and North Africa ( MENA ), the desire to innovate is enormous, but the reality is more challenging.
Market data shows that over 70% of organizations in these regions are still in the early stages of AI exploration. It's as if we had a Formula 1 engine (GenAI) , but we had to fuel it with a hand pump ! The handbrake? Usually, it's in your legacy systems .
If your business is feeling the weight of this inertia, it's time to look at what's really missing from this innovation equation.
The handbrake called "legacy"
Legacy systems, such as ERPs, hold the heart of your business: critical information, the logic that makes the wheels turn. However, they become the "handbrake" on innovation and are unable to speak the language of the cloud and AI .
In this scenario, modernization doesn't necessarily mean rewriting code from scratch, which would be extremely expensive and risky. The solution begins with preparing these systems for the cloud , keeping the business logic intact and using modernization as the first step to connect legacy systems to the potential of AI, with security and predictability .
The essential tripod of trust (and profitability)
In this time of transition, innovation without proper governance expensive and risky experiment . This is why experts point out that the success of AI adoption depends on a "triangle of trust" :
- Modernization : transforming your legacy into a scalable platform with universal access.
- AI-ready data : centralize and cleanse your data, ensuring it becomes the "fuel for AI" .
- Security and governance : ensuring a Zero Trust and 24/7 monitoring to protect your business. After all, the risk of accuracy, bias, and privacy is cited by 45% of leaders as the biggest challenge.
“Success means putting data-driven AI at the heart of business processes.” Cristian Vivanco , Data and AI Solutions Architect at Skyone
With this three-pronged approach, you not only innovate, but you do so responsibly and in a data-driven .
And where are the people in this revolution?
The technology is available, but the human challenge is the main bottleneck. We're talking about cultural resistance , scarce talent , and the difficulty in finding practical use cases for AI.
human-centered approach is needed .
- Transparency : alleviating the fear of job losses . People need to understand that AI is meant to augment human capabilities, not replace them .
- Upskilling/reskilling : the focus should be on training your existing employees. Ironically, AI itself, through LLM models, can facilitate this rapid learning .
- Clear Goals : It's vital to start small, focus on "quick wins," and establish clear KPIs to measure value, whether through cost reduction or revenue increase. Projects that are too ambitious often lead to delays.
The future will not require replacing people, but rather adapting to manage a hybrid workforce (humans and AI agents).
The path from data to autonomous decision-making.
The journey towards responsible and valuable Artificial Intelligence for your business is structured and involves well-defined stages:
- Integrate everything : use one platform to connect data from over 400 systems (ERP, CRM, etc.).
- Organize the data : clean, transform, and segment your data, treating governance, privacy, and compliance as a priority.
- Automating with intelligence : Developing AI agents that orchestrate tasks, use advanced language models (such as Gemini 1.5 Pro , GPT-4 , Llama 3 ), and make autonomous, context-based decisions .
The revolution lies in implementing data-driven AI strategies within business processes .
If you want to uncover the next steps in this journey, understand the specific strategies for your region ( LATAM or MENA ), and learn about the framework Future Ready companies are using, the content of our e-book is your starting point.
Want to know how to lead digital transformation in your company?
This e-book was born from an in-depth talk full of practical insights with experts. To further enrich your journey, also watch: Generative AI and Cloud: Data-Driven Decision Making and Responsible Innovation in LATAM and MENA.
