PyData Cambridge - 40th Meetup

📣📣We are happy to announce the 40th PyData Cambridge meetup!📣📣

Agenda
18:45 - 🚪 Doors open (Please do not arrive earlier)
19:00 - ▶️ Introduction
19:15 - 🗣 Demonstrating Compliance by Design for Data Security and Privacy in AI Apps (by Dror Nir, RadBee)
19:50 - 🍕 Interval - pizza and drinks provided
20:15 - 🗣 Building Successful Data Science Projects (by Ian Ozsvald)
20:50 - 🍻 End (Pub - Old Ticket Office, Station Square)

Title: Demonstrating Compliance by Design for Data Security and Privacy in AI Apps by Dror Nir, RadBee

Artificial Intelligence (AI) is already impacting many aspects of our lives. Recent trends contribute to the rapid rise of AI applications in healthcare. For example, the availability of gene sequencing techniques boosted the demand for AI in areas of personalized medicine.

This explosion of AI in healthcare raises concerns with governments and regulators. Mainly in areas related to data collection, processing and storage. They are working on updating the regulatory frameworks to mitigate such new risks. In particular, there is a serious concern about data security and privacy. In this talk, Dror will focus on the Compliance by Design (CbD) standard for data security and privacy in AI products' life cycle.

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Building Successful Data Science Projects by Ian Ozsvald

Your data science projects haven't worked out so well - maybe you didn't have a plan, you suffered from surprising unknowns, you couldn't deliver what was promised or you just failed to ship. I've been there over the last 20 years.I'll share some painful past experiences and explain how you can avoid these common failures. I've just shipped a solution worth $2 million for a client by following my own advice - you can do the same. We'll talk about estimating the value of your choices, getting written agreement for a project plan, identifying risks and derisking them, validating results with the business, shipping quickly, identifying bottlenecks and iterating our way to success. You'll leave the talk with new ideas to improve the success of your team and your personal career.

Code of Conduct
PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.
The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behaviour of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (leah@numfocus.org) or organizers.