Have you ever wondered why and how certain holidays and flights are priced then recommended?

In this episode of What AI Means for Us by NeuralRec. Chris is joined by Jan Krasnodebski, recommender systems and pricing subject matter expert. With more than 13 years of experience at Expedia and a strong background in pricing and recommendations, Jan shares his expertise on several key topics:

✅The crucial role of pricing in business strategy and its impact on profitability.
✅Unique challenges are faced in pricing for various industries, including med tech and travel.
✅How generative AI is transforming pricing and recommendations, and its current limitations.
✅Multi-stakerholder recommendations, managing them effectively.
✅The integration of AI in booking platforms, enhancing personalization and user experience.
✅Handling ethical implications and ensuring fairness in AI models.
✅Skills and leadership qualities required for success in AI-focused roles.

Join us for a deep dive into the dynamic world of pricing and AI, and how these elements shape the modern travel industry.

It was great to be joined by Sumit Singh, a Digital Twin expert and champion of the field.

Sumit dives into the fascinating world of digital twins and their potential to transform industries and society.

In this episode, we explore:

✅What are digital twins? Learn about these virtual replicas and their data magic
✅Benefits for businesses and people.
✅How digital twins optimise systems and improve our world.
✅Challenges and steps organisations can take to harness the power
✅The future with digital twins.
✅Their role in simulation, the metaverse
✅The Digital Twin skills gap and how to address it

Intrigued? Tune in to the full episode and explore the cutting-edge of digital twin technology!

We enjoyed sitting down with Rishabh Mehrotra recently, discussing RecSys and LLM problems, specifically how they intersect.

Rishabh is an all-around great person, he is committed to driving forward the RecSys/Gen AI community with open-source knowledge.

Some of the topics we covered:

✅How RecSys and LLMs overlap, and why it’s important
✅Managing multistakeholder recommender systems
✅RecSys cold start problems
✅Building teams to win in RecSys and Gen AI
✅Ethical accountability

Stay tuned as we continue to connect with more thought leaders over the coming months!