Selected **offline** talks: - ๐Ÿ‡ช๐Ÿ‡ธ TNW Valencia - [Blitzautomation side event](https://thenextweb.com/valencia/side-events) - ๐Ÿ‡ช๐Ÿ‡ธ PyData Madrid - [On foundational models](https://www.meetup.com/pydata-madrid/events/291455349/) - ๐Ÿ‡ช๐Ÿ‡ธ PyBarcelona - [Deep learning for time series](https://www.slideshare.net/rachnogstyle/deep-learning-for-time-series-pybcn) - ๐Ÿ‡ช๐Ÿ‡ธ JPMorgan event - [Unlocking the AI potential](https://www.linkedin.com/posts/alexandr-honchar_pushing-forward-ai-adoption-in-spain-thanks-activity-7247906131107319811-RuzN?utm_source=share&utm_medium=member_desktop) - ๐Ÿ‡ฎ๐Ÿ‡น PyCon Italia - [Deep learning: the final frontier for time series analysis and signal processing?](https://pyvideo.org/pycon-italia-2019/deep-learning-the-final-frontier-for-time-series-analysis-and-signal-processing.html) - ๐Ÿ‡ฎ๐Ÿ‡น Machine Learning Milan, Data Science Milan - [NeurIPS Side Event](https://community.codemotion.com/machine-learning-milan/meetups/side-event-of-neurips) - [Generative modeling](https://www.slideshare.net/rachnogstyle/data-science-milan-generative-modeling-for-anything-apart-of-generation) - [GANs for business](https://www.slideshare.net/rachnogstyle/gan-for-business-value-data-science-milan) - ๐Ÿ‡ฎ๐Ÿ‡น Web Marketing Festival - [Hands-on DeepFakes: come crearne uno e proteggere da uno](https://www.webmarketingfestival.it/2020/programma/wmf2020-honchar) - [Tecniche Jedi di Wall Street per data scientist](https://www.wemakefuture.it/2021/programma/sala-intelligenza-artificiale-830) (in Italian) - ๐Ÿ‡ฉ๐Ÿ‡ช ML Conferences in Berlin and Munich - [Deep learning for signal processing](https://mlconference.ai/speaker/oleksandr-honchar/) - [Data science without the data](https://mlconference.ai/machine-learning-principles/data-science-without-data-the-cold-start-playbook/) - [Generative AI beyond generation](https://mlconference.ai/munich/program-munich/#programJumpToDay1) - ๐Ÿ‡ฉ๐Ÿ‡ช [Telenorma 125-Year Anniversary](https://125jahre-tn.de/en/), Frankfurt, at Europeโ€™s largest stock exchange - ๐Ÿ‡ฉ๐Ÿ‡ช [Conversational Tech Summit](https://conversationaltechsummit.com/), Munich, on Agentic AI for customer support - ๐Ÿ‡บ๐Ÿ‡ฆ Data Science UA - [Multitask learning](https://www.slideshare.net/rachnogstyle/multitask-learning-data-science-ua) - [The economy of AI](https://data-science-ua.com/conferences/conference-9/) - [GANs vs ODEs](https://www.youtube.com/watch?v=r_XB41u9IU0) - ๐Ÿ‡บ๐Ÿ‡ฆ AI Ukraine - [Anti-data-science: the Taleb's barbell in the AI world](https://aiukraine.com/speaker/alex-honchar/) - ๐Ÿ‡บ๐Ÿ‡ฆ ODSC Kyiv - [What do we learn?](https://mobile.twitter.com/midnightua/status/985161276908359680) - ๐Ÿ‡ฌ๐Ÿ‡ช [Touch Summit 2019](https://www.startupreporter.eu/speakers-at-touch-2019-tbilisi-georgia/) - ๐Ÿ‡ฎ๐Ÿ‡ฉ [Decoding Generative AI Jakarta](https://lu.ma/AWS_GenAI) - ๐Ÿ‡ธ๐Ÿ‡ฌ [INSEAD Future Forum](https://digital.insead.edu/post/insead-future-forum-in-singapore-how-will-web3-and-ai-transform-finance/) Selected **online** appearances: * [Caveminds - #22: The Formula for AI Innovation and Success | Alex Honchar from Neurons Lab](https://podcasts.apple.com/gb/podcast/22-the-formula-for-ai-innovation-and-success-alex/id1707124292?i=1000646233678) * [Datacast Episode 25: Algorithmic Trading with Alexandr Honchar](https://jameskle.com/writes/alex-honchar) * [Let's talk AI - #59 - Leadership, Entrepreneurship, Team Building, Career and AI with Oleksandr Honchar](https://www.youtube.com/watch?v=Pb_Ric_4TDg) * [AI Masters - # The 5 Levels of AI Integration in Business](https://www.youtube.com/watch?v=3hUPFmSfdmw) * [ADAPT - Data Science without Data: The Cold Start Playbook](https://www.youtube.com/watch?v=WAseJI793JA) * [How to Implement AI in Your Business or Start Consulting (Advice from AI Agency)](https://www.youtube.com/watch?v=nTeUkmUSTrA) Also, I was co-host and co-initiator at the educational podcast series ๐Ÿ‡บ๐Ÿ‡ฆ โ€œ[ะŸั€ะพั”ะบั‚ ะ†ะฝั‚ะตะปะปะตะบั‚](https://podcasts.apple.com/ua/podcast/%D0%BF%D1%80%D0%BE%D1%94%D0%BA%D1%82-%D1%96%D0%BD%D1%82%D0%B5%D0%BB%D0%B5%D0%BA%D1%82/id1534413713)โ€ with a 4.8 rating on Apple Podcasts.