AI turns data into insights, automates business processes and makes room for innovation, while responsible AI does all this in a way that’s ethical and accountable.
AI takes over your routine tasks, completing them within a fraction of the time it would take you to do them manually. It transforms your data into actionable insights through analysis and visualization, allowing you to see deeper into trends and patterns.
But …
Who trained AI, and on what data?
Does it protect user privacy?
Does it adhere to relevant laws and regulations?
Are the AI insights in any way biased?
Practicing responsible AI will clear your doubts and let you fully enjoy AI’s benefits for your business. Our responsible AI consultants are here to help you implement a governance framework that ensures your AI solutions respect data privacy and are secure and compliant.
By using a responsible AI (RAI) governance framework, you ensure that AI-driven decisions are fair and transparent — and promote inclusivity and accountability.
Responsible AI enables transparency, explainability and clarity in decision-making, helping to build trust with users and stakeholders.
RAI governance ensures that all of your artificial intelligence applications comply with data protection laws and industry regulations.
With responsible AI, you can reduce the risk of data misuse and its consequences, prioritize data privacy and protect your business’s reputation.
Responsible AI ensures continuous and stable benefits both to your business and customers.
Responsible AI solutions uphold fairness, inclusivity and other ethical principles.
We want to spotlight Intellias with the “Best Chatbot Platform” award… IntelliAssistant provides cost and time savings, increased efficiency, data insights, streamined operations, and improved customer experiences.
Steve Johansson
Managing Director, AI Breakthrough
Our methodologies are aligned with the EU AI Act and other legal and regulatory frameworks.
We use our deep data governance expertise to help you make sure that your data is secure, privacy-compliant and high-quality.
Intellias has a proven track record of creating cloud platforms for future-proof, ethical AI systems that ensure scale, trust, and seamless integration.
Our broad expertise and strong partnerships with leading technology providers enable us to build diverse ecosystems.
We build AI systems that are secure by design to prevent data leaks, unauthorized access and bias.
We fuse responsible AI with product strategy to help companies innovate and gain a competitive advantage.
Hana Rizvić
Head of AI
Hana is a data scientist with a decade of experience in the field and an AI/ML expert. At Intellias, she has developed the AI/ML practice into a separate, robust domain and a core offering. Her expertise lies in not only orchestrating and motivating teams but also in shaping forward-thinking growth strategies for businesses implementing AI/ML worldwide. Under Hana’s leadership, the AI/ML practice at Intellias continues to grow, and now includes GenAI offerings and a responsible AI practice she recently launched.
With a solid mathematical background, Hana has spent her career focusing on predictive analytics and machine learning, helping clients in healthcare, energy and insurance. She holds a Master’s in Applied Mathematics from the University of Rijeka in Croatia.
Vedrana Vidulin
Head of the Responsible AI Unit
Vedrana has more than 15 years of experience in data science and machine learning. At Intellias, she transforms complex data ecosystems into practical solutions for companies worldwide using machine learning, predictive modeling and data visualization. She is also the Head of Responsible AI, ensuring that AI is used in a trustworthy, safe and responsible manner.
As an academic and a data science researcher, Vedrana has particularly deep knowledge of AI/ML that places her in a unique position to formulate ethical AI policies and implement them across the organization. Through mentorship and thought leadership, she helps teams bridge the technical side of AI/ML with the company’s strategic vision, turning data into a powerful business asset for empirical decision-making. She holds a PhD in Artificial Intelligence from the Jozef Stefan Institute in Slovenia.
Gregorio Ferreira
Head of MLOps
Gregorio is an experienced data specialist with more than a decade of experience in data architecture, AI/ML and cloud solutions. A leader in creating data-driven SaaS offerings, he combines technical acumen with strong leadership of high-performing data analytics teams.
Gregorio has championed data-centric initiatives in multiple industries while keeping an eye out for opportunities to adopt AI. He has shaped AI/ML and data science strategies for Akamai Technologies, ArcelorMittal, ABB and GE Healthcare, in addition to holding several positions in academia.
As a recipient of the Marie Curie fellowship, Gregorio dedicated four years to in-depth research of strategies for monitoring industrial conditions. He holds a PhD in advanced signal processing/ML from the Cracow University of Technology in Poland.
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