Finance, Big Data
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, which she joined in 2000 as its Chief Product Officer. Since 2005, she served as CEO of e-commerce payment service Yandex.Money. Since 2014, she took the leadership of Yandex Data Factory, a new business unit focused on enterprise machine learning solutions. In 2018, she co-founded Dutch industrial AI start-up Mechanica AI.
Jane is a frequent speaker on the topics of data and AI strategy and applications at various events in Europe, Middle East and Asia. She is of the Global Future Councils at World Economic Forum.
In 2016, Jane was named in Silicon Republic’s Top 40 Women in Tech as an Inspiring Leader. In 2019, she was listed as one of Global Shakers’ 30 STEM Women to Watch. She is recognized by Inspiring Fifty as one of the top fifty most inspirational women in the technology sector in the Netherlands in 2016, 2017 and 2019.
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
– 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.