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  3. Natalia Konstantinova
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Natalia Konstantinova

Architecture Lead in AI
BP
Country or state 
United Kingdom
Available to 
Global
City 
London
Fee 
Ask for pricing
Languages 
English,
Russian
Volunteer
Yes

Personal Details

Bio

I am a great enthusiast with over 10 years’ experience in the application of Natural Language Processing, Artificial Intelligence, IT and machine learning technologies to real world problems.

My interests lie in the areas of:

machine translation,

ontologies,

question answering,

dialogue systems and chatbots,

information extraction (coreference resolution and relation extraction),

machine learning,

recommendation systems.

I am also passionate about project management, agile ways of working and inspiring people to work together and solve challenging problems!

My PhD thesis entitled “Knowledge acquisition from user reviews for Interactive Question” explored the ways Information Extraction and NLP can be used to collect knowledge for Interactive Question Answering.

Current position (1)

Architecture Lead in AI

BP

Achievements (2)
Top 30 women in AI

Natalia was mentioned on the list of top 30 women in AI, UK edition - https://www.linkedin.com/pulse/top-30-women-ai-uk-edition-nikita-johnson/

Top 100 women advancing AI in 2023

https://blog.re-work.co/the-top-100-women-advancing-ai-in-2023-2/?utm_co...

Degrees (2)
Mathematical linguistics
Saint Petersburg State University
2002 to 2007
PhD, Computer Science
University of Wolverhampton
2009 to 2013

Presentations

Presentations (5)
Reducing customer effort by using AI technology

We all have busy lives and no time to waste. Our expectations of retail businesses in the meantime are getting higher and higher.
AI is here to help to automate mundane tasks and increase customer satisfaction. But! it works only if done properly, so what do we need to remember to make the most of AI?:
- Are all tasks ok for AI delegation?
- Can we have a clever AI assistant for humans?
- How do we still keep our customers happy?

Sustaining innovation: competitive edge

Sustaining innovation at an organization is a key to success.
1. Why is it important?
2. How do we make people engaged:
- Bottom up approach
- Top down approach
3. Challenges to overcome
4. Lessons learnt

Want a recipe for disaster? Try managing data science project as an IT one!

1. How data science projects are different from typical IT projects?
2. Can you adjust scrum to fit in data science projects and then how?:
- Use spikes
- Make sure items you work on are small
- Start on items with highest uncertainty
- Instead of increment focus on reducing uncertainty
3. Key things to keep in mind:
- Educate your business and stakeholders
- Communication is key

How digital and AI support diversity, inclusion and equity!

Is digital helping DI&E?
Does AI help with biases or worsens the situation?
What are the examples of biased AI systems?
Can we do something to make such systems less biased?
Do we have some recipes to make sure AI helps with DI&E?

ChatGPT: what is it all about?

What is Generative AI?
How Large Language Models work?
Why ChatGPT became so popular?
What is different about ChatGPT?
What are the strengths of GPT-4?

Upcoming events (2)
Building and Accelerating AI Capabilities
Chief Disruptor
The May Fair Hotel, London
May 18, 2023
Conversational AI: Pathway to Success
Conversational AI
London
May 16, 2023
Past talks (2)
SUPERWOMEN SHAPING AI
SUPERWOMEN SHAPING AI
Online
May 13, 2020
Hosting the event
Women In AI & Data Reception
LEONARDO ROYAL LONDON TOWER BRIDGE
January 24, 2023
  • All (3)
  • Videos
  • Photos (1)
  • Slides (1)
  • Press information (1)
This speaker hasn't uploaded any videos yet.
Adoption of AI - https://www.computing.co.uk/news/3066721/business-buy-in-stands-in-the-way-of-ai-adoption
Adoption of AI - https://www.computing.co.uk/news/3066721/business-buy-in-stands-in-the-way-of-ai-adoption
Natalia Konstantinova
This speaker hasn't uploaded any one sheet yet.
Developing First Utility's chatbot: 'the smallest mistake can make customers very upset'

Books & Articles (5)

Omni-channel or multi-channel?
What are the recent trends and challenges in AI and ML?
Productionising data science
AIST conference
Machine learning explained in simple words

Expertise (14)

Technology
Machine Translation Ontologies Machine Learning Natural Language Processing Artificial Intelligence Information Technology Data Science Research Agile Technology Oil and Energy ChatGPT GPT-3

Awards & certifications (3)

The Professional Scrum Master I
Scrum.org
2016
CS1156x, Learning From Data
edX
2013
Computing for Data Analysis
Coursera
2013
Recommendations
1 Audience
Show More
Why choose me? 

Passionate about public speaking and inspiring people! I bring energy and humor to every discussion!

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