Navigating AI Hype

06/27/24 • 42 min

On our 2nd episode, we are joined by Gordon Baggott, an experienced AI & MLOps Leader. We discuss Gordon's career, his optimism around AI, the hype that many businesses have towards AI and building best practice around MLOps.

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Hosted on Acast. See acast.com/privacy for more information.

Previous Episode

Programming with your Copilot

In our 1st episode, Kris McFadyen, Andy McMahon & Ishbel Softley are joined by Arfon Smith, Responsible AI Lead for Github's Copilot. We discuss the innovation and evolution of AI within the Copilot product and how ChatGPT and AI paired programming technologies will continue to evolve.

Arfon's bio:

I'm responsible for integrating AI into the core GitHub experience, partnering closely with design, engineering, and our scientists and GitHub and Azure AI. My current focus is on Copilot Enterprise – GitHub's most advanced AI offering to date – infusing GitHub Copilot throughout the software development lifecycle.

I'm an experienced leader and strategist with extensive product, data science, and engineering experience with a particular focus on open source. I've worked at organizations of very different sizes, scales, and sectors. Most recently I founded and led the Data Science Mission Office at STScI (stsci.edu) in Baltimore, the home of the James Webb and Hubble Space Telescopes and other flagship NASA science missions.

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Next Episode

Talking Medicines

In our 3 episode of The AI Leader, we are joined by Talking Medicine's Chief Operating & Data Officer, Elizabeth Fairley. We discuss their data science evolution, data protection and security within the healthcare sector, their use of Gen AI partularly within their core product, DrugGPT, what it's like to grow an international business headquartered in Scotlnd and how AI will continue to disrupt the healthcare and pharma markets.

Elizabeth's Bio:

Elizabeth Fairley is a passionate co-founder of Talking Medicines, driving the development and commercialization of the data intelligence platform, Drug-GPT. Her expertise lies in leveraging data to empower agencies in the pharmaceutical sector with actionable insights. Elizabeth is dedicated to transforming patient outcomes through data-based predictive health, decoding patient/HCP/KOL/DOL language to uncover meaningful experiences. As a leading industry voice, she shares her knowledge on data mining, ethical data use, and the value of conversational data in understanding the patient experience. Elizabeth has completed an accelerated MBA at Babson (Saltire Fellow, Boston, US), holds a Ph.D. in Biology from the University of Cambridge, and a BSc (Hons) in Genetics from the University of Aberdeen. She is committed to diversity and fostering young talent, with a focus on innovation, trust, and transparency. As an entrepreneur, Elizabeth has founded various successful enterprises, including her own life sciences consultancy business.

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