Areas of Expertise
Ethics • Data Science • Artificial Intelligence • Finance
Jane Zavalishina is the President and Co-founder of Mechanica AI, a provider of AI-based solutions for the industrial sector.
Throughout her career, she has always focused on applying innovative technologies to create new and transform traditional businesses. She held various executive positions within Yandex, one of the Europe’s largest internet companies and Russia’s leading search engine.
Since 2014, she was CEO of Yandex Data Factory, a new business unit focused on enterprise machine learning solutions. Before taking up the leadership of this new business, Jane was serving as Chief Executive Officer of Yandex’s e-commerce payment service Yandex.Money, which she joined in 2005. Under Jane’s leadership Yandex.Money became one of the strongest players on the country’s e-commerce market and one of the most recognized e-payment brands in this country. Prior to becoming head of Yandex.Money, Jane served as Chief Product Officer at Yandex. In this role, she helped Yandex to reach the leading position on the internet market in Russia and gain popularity with its wide range of web-based products and services.
Jane is a frequent speaker on the topics of AI strategy and applications at various events in Europe, Middle East and Asia. She’s a faculty member of Singularity University NL, and a mentor in Rockstart AI Accelerator. She also serves on the World Economic Forum’s Global Future Councils.
In 2016, Jane was named in Silicon Republic’s Top 40 Women in Tech as an Inspiring Leader. She is recognized by Inspiring Fifty as one of the top fifty most inspirational women in the technology sector in the Netherlands in 2016 and 2017.
Machine Learning | Exponential Manufacturing
SingularityU The Netherlands Summit 2017
How will AI make industrial production more sustainable and efficient?
Forget Big Data, Think Machine Learning - Jane Zavalishina, Yandex Data Factory
2017_TVM Blackrock Jane
Bringing Internet Technologies to New Industries - LeWeb'14 Paris
SingularityU NL Executive Program April 2018
AI for Good: Trust, Ethics, Critical Thinking
AI: The Good, The Bad and The Scary. How ethics becomes more practical than ever
AI comes into our everyday lives with a great promise to bring us the new levels of personalisation, efficiency, safety and sustainability. But such a powerful tool also creates serious challenges: if you don’t know what you are doing, you can very quickly and efficiently end up in a very wrong place. How do we ensure that AI we are implementing doesn’t do us more harm than good? In this talk, we’ll show how AI is already working to make our lives better and how it leads to the transformation of businesses and even the whole industries. We will also analyse the risks, challenges and lessons already learned on this journey. AI is a powerful tool, so let’s learn together how to use it properly – and for good.
3)Data is invaluable asset for any organisation – if you use it right, it can become one of the most powerful drivers for innovation and growth. However, unlike capital assets, with data the bigger is not necessarily the better: using data the right way is much more important for success. How do we ensure that AI we are implementing doesn’t do us more harm than good?
In this talk, we’ll show how the power of data is already making our lives better every day, and how it leads to the transformation of businesses and even the whole industries. We will also analyse the risks, challenges and lessons already learned on this journey. Data is a powerful tool, so let’s learn together how to use it properly – and for good. Data for Good: Ethics and Critical Thinking
How to Become a Data Driven Company - interactive session
– Intro to AI with company examples
– How to implement data in your company
In the past decade, data has become the fuel that drives businesses all over the world. The large quantity, variety, and rate of data feeds challenge conventional infrastructure and traditional thinking, yet offer many new opportunities. How do exponential organizations think about data? This talk delivers an introduction to the big data, AI and the increasingly sophisticated ability to extract information and meaning out of raw data. We’ll explain how innovative corporations and startups are using big data to amplify their capabilities, and provide examples of data in action – embedded in the fabric of our everyday lives.
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