As we step back into a Covid restriction-free world, MBN is delighted in announcing, in partnership with Logically, our first London Data Science event. This event will be focusing on Natural Language Processing (NLP) and Graph Analytics, a key part of Logically’s AI expertise, and an area of interest for many businesses and scientists today.
Date: Thursday 30th June 2022
Time: 17:00 - 20:00
Address: Tintagel House, 92 Albert Embankment, London SE1 7TY
Agenda:
Mohammed Khaleed MBN - Welcome intro
Anil Bandhakavi - Head of Data Science Logically –Talking about Logically’s requirements and approach to building a diverse AI team. Covering the recruitment challenges Logically faced and the solutions the team have built so far to combat misinformation, disinformation etc
Dominik Tomicevic - Founder, Memgraph –Talking about how Graph Analytics has grown in uses, the different use cases where it’s been applied and the use of real-time Graph Analytics in Machine Learning.
Roxana Danger –Talking about Natural Language models, it's risks associated with privacy, different types of attacks and available solutions.
About the speakers:
Dominik Tomicevic
Founder, Memgraph
Dominik received his bachelor's degree in computer science from the University of Zagreb. In 2011, he was selected as one of the four people in the world to receive the Microsoft Imagine Cup Grant, awarded by Bill Gates personally. In 2016, he founded Memgraph, a venture-backed graph database company focusing on high-performance real-time connected data processing. Memgraph is backed by M12 (Microsoft's Venture Fund), In-Q-Tel, Heavybit, and other top-tier investors and entrepreneurs. In 2017, Dominik was named, by Forbes, as one of the top 10 Technology CEOs to watch.
LinkedIn: https://www.linkedin.com/in/dominiktomicevic/
Roxana Danger
Dr Roxana Danger is an experienced researcher in the fields of Natural Language Processing, Data Mining and Knowledge Representation. She completed her PhD on "Extraction and analysis of information from the Semantic Web viewpoint" and worked as a postdoctoral researcher at Universidad Politecnica de Valencia and Imperial College London. She has participated with key roles in multidisciplinary European and national projects, and published more than 30 international research papers. After moving to the private sector, she has worked as a Senior Data Scientist in reed.co.uk and 10x Banking, and is currently working at RegulAItion.com, a company leading the development of Responsible AI technologies and tools to solve the data challenge for regulated industries. She is interested in promotion of statistical and data understanding in education and for the general public. Her main current research interests are data ethics, semantics and private AI.
LinkedIn: https://www.linkedin.com/in/roxana-danger-1ba62b2a/
Anil Bandhakavi
Head of Data Science – Logically
Anil heads the data science and machine learning operations at Logically with up-to 10 years of experience in the field of Artificial intelligence including a Ph.D. in NLP. He joined Logically in 2018 to lead the development of effective AI solutions that enable the tools and products of Logically. He believes strongly in extended (artificial + human) intelligence to create impactful and interpretable solutions to societal problems.
Anil will be talking about Logically’s requirements and approach to building a diverse AI team. Covering the recruitment challenges Logically faced and what the solutions the team have built so far to combat misinformation, disinformation etc
Twitter - https://twitter.com/anilhhh87?lang=en
Linkedin - https://www.linkedin.com/in/anil-bandhakavi/
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