Causal AI is a natural way for decision-makers to ask LLMs direct questions and get answers that go beyond surface-level insights.
Instead of just spotting 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 combining Causal AI with LLMs helps business and tech leaders:
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Generate SWOT analyses, "what-if" scenarios, and strategy comparisons without technical prompts
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Model the real impact of business decisions — before making them
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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
Register to get your access link on the day of the event.
About this series
R&D Talks is a series of expert-led talks from our R&D team, where we dive into technologies we explore, test, and bring to life as solutions at N-iX.
Each session uncovers the behind-the-scenes of our work — from technical experiments and architectural choices to practical challenges and business outcomes.
Built on rigorous research and field-tested cases, these talks show how breakthrough technologies become real market-changing solutions. You’ll get both the technical depth for engineers — for building with confidence, and the strategic clarity for leaders — for making informed decisions on innovative projects for your company.
