“I've seen very few people that are able to control client situations as well as Liz does. She has the ability to build trust with clients, which lead to fantastic long-term relations. Liz also has a passion for learning + contributing, which makes her an awesome person to work with!”
About
Startup leader & AI advocate. Advising early and mid-stage companies on Artificial…
Contributions
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How do you select the perfect AI model for your business?
It can be very tempting to think of this decision as a one-model problem, when the truth is that finding a very large model that can handle all requests equally is extraordinarily hard. Some models are very good at translations, others at summarizing, and while they may be the best model at first, they can degrade over time due to drift. New research is emerging that suggests a suite of smaller models may be the most performant (and cost-effective) route for many tasks.
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How do you evaluate the feasibility of AI projects?
Nowadays, it's very simple to get a prototype to look and feel like magic, which is only about 85% of the journey. All too often, getting to 100% viability can present a much larger challenge, where that last 15% is uncharted territory, and can require years of doctoral research. It's important to crowdsource evaluation characteristics from a broad set of stakeholders to help reduce the list of "unknown unknowns", which can be existential to release.
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You're worried about cyber attacks on your business. How can you use AI to protect it?
It's important to recognize that, while AI provides a ton of benefit to the field of cybersecurity, AI itself can pose new and thorny challenges. The same tools you might choose to protect yourself are readily available to bad actors, which could lead to amplification effects. AI tools are also useful in social engineering and other phishing attacks, making its application a truly double-edged sword.
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You're looking to integrate AI into your project. How can you find the best machine learning platforms?
No matter which vendor you choose, or decide to roll your own, an important consideration is whether the platform offers guidance, compliance-oriented features, or guardrails to end users, and how? We all know that regulation is looming, but how it will materialize is yet to be decided. In the meantime, your users and customers may regularly ask you about AI risk mitigation, so it's good to follow the standards and best practices laid out by NIST, IEEE, OMB, and others who are leading the charge.
Activity
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Thank you, from the bottom of my heart, to my neighbors for reelecting me as their Assemblymember. I'm very grateful for the opportunity to work for…
Thank you, from the bottom of my heart, to my neighbors for reelecting me as their Assemblymember. I'm very grateful for the opportunity to work for…
Liked by Liz O'Sullivan
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I'm honored that my peers have chosen me as the 2024 Rising Star! Future Caucus brings together young legislators across parties to focus on…
I'm honored that my peers have chosen me as the 2024 Rising Star! Future Caucus brings together young legislators across parties to focus on…
Liked by Liz O'Sullivan
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Such a pleasure to join the Academic Data Science Alliance's annual meeting in Ann Arbor this morning! I argued that keeping humans in the loop in…
Such a pleasure to join the Academic Data Science Alliance's annual meeting in Ann Arbor this morning! I argued that keeping humans in the loop in…
Liked by Liz O'Sullivan
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One of the best things you can do at an early stage startup is to identify your strengths and weaknesses, then humbly ask for help where those…
One of the best things you can do at an early stage startup is to identify your strengths and weaknesses, then humbly ask for help where those…
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