R&D Talk #2: Causal AI for Executive Decision-Making

Unlike traditional AI that spots patterns and correlations, Causal AI understands what causes outcomes and can simulate the impact of your decisions before you make them:

• “What will happen if we raise prices by 10%?”
• “How will employee turnover change if we improve work-life balance?”
• “Which campaign really drove the spike in sales?”

At this R&D Talks session, you will see how Causal models work and how Causal AI + LLMs help business and tech leaders:

• Generate SWOT analyses, "what-if" scenarios, and strategy comparisons without technical prompts
• Model the real impact of business decisions — before making them
• Speed up decision-making, cut costs on analytics, and improve the transparency of the process

Besides that, our team will share where and how Causal AI can be implemented in real scenarios of decision-making. We will also see it in action through a live demo.

👤 Who should join: Tech and product specialists, CX experts, and innovation leaders looking to apply LLMs with causal AI for decision-making support and a transformative user experience.

Meet the speakers:

• Oleh Datskiv, Lead AI Engineer, R&D Data Unit, N-iX
• Olha Havryliuk, AI R&D Engineer, N-iX
• Zoia Dakhovnyk, AI R&D Engineer, N-iX

Join us live and bring your questions. 📩

Register to get your access link on the day of the event.