Violeta Misheva

Lead Data Scientist

ABN AMRO Bank N.V.

Home2023 SpeakersVioleta Misheva

Speaker Bio

Violeta Misheva is a lead data scientist working in the banking world. She has about 10 years of experience in the world of data and holds a PhD from Erasmus University. She is very passionate about developing machine learning in a responsible and ethical way and likes sharing her knowledge with others.

Fun Fact: I was on a mission to run the major marathons in European capitals before the pandemic cut my training short (personal best: running the original marathon route in Greece).

Speaker Sessions

5:20pm
Presentation

Why Do Most AI Models Fail?

30 mins
  • Track - InfoTech
  • Data
  • Software
  • Technical
  • Violeta Misheva

    Lead Data Scientist

    ABN AMRO Bank N.V.

In this session, we will cut through the noise and hyperbole surrounding AI to explore its practical applications and limitations. With AI seemingly omnipresent, why do so many implementations fail, and why are countless models left unused? By sharing best practices, lessons learned, and examples of failure, attendees will gain valuable insights into the world of AI development and deployment.

The Importance: Attend this session to develop a deeper understanding of what it truly means to create and deploy AI models in a corporate environment. Learn to identify the criteria for success and recognise the most challenging aspects of the process.

Key Takeaways:

  • Recognise that proof-of-concepts, while valuable, do not guarantee a successful, scalable AI solution in the real world
  • Be mindful of the time and cost involved in developing high-quality AI solutions, and avoid underestimating the importance of quality data
  • Stay vigilant against the hype: If an AI solution seems too good to be true, it likely is

This session is for you if… you work with data or are intrigued by the world of data and its enigmatic elements. Join us to gain a more comprehensive understanding of the complexities and challenges in AI development and deployment.

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