Monika Khanna

Stroke of AI in UX

Key Learnings

  • How AI can enhance the user experience.
  • Practical examples from different sectors where AI helped the conversion rate.
  • How to build user’s trust in AI with good Product design.
  • Elements and framework used to design such AI based applications.


AI is something which excites me as it has changed the way we write content and design any system using NLP (Natural Language Processing) and seeing it emerging from NLP to NLU (Natural Language Understanding) to give more human centred design experience.

Artificial intelligence and machine learning is a field that is moving at lightning speed and has tremendous potential in creating revolutionary impact across different sectors like healthcare, e-commerce, real estate, finance, HR management and many more.

Date: Tuesday, October 20th


Monika Khanna

Associate Design Director, IBM

I’m an empathetic problem solver which has made me a go getter for cracking complex problems for brands like Magicbricks, Mahindra Comviva, Extramarks, Hewett Packard, Honeywell and many more.
Versatile experience in User Experience Design, Team Management, Client handling and Leading Projects from end to end delivery that result in Customer Delight.
With supervisory as well as hands-on expertise in user research, usability analysis, need analysis, project planning, resource management, information architecture, wireframing, prototypes and execution of short to long-term projects, managed and delivered interactive solutions for national & international projects in Information Technology, real estate, E-commerce and Education industry domains.
My unique experience is in working directly with CEOs, Executive level leadership, and Investors.
I analyze users perceptions, mental models, emotions, behaviors, needs and create a psychological branded experience and environment.

I create design flows/systems for products to generate better business and become market leaders.
I help design and implement existing/emerging data platforms as per users/customers needs and desires. Leveraging data to create intelligent predictive digital products that meet users/consumers needs.

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