Harnessing MLOps in Finance: Bringing Statistical Models to Life for Positive Impact

Name: Harnessing%20MLOps%20in%20Finance:%20Bringing%20Statistical%20Models%20to%20Life%20for%20Positive%20Impact
Uploaded: 2023-08-28T14:22:44.145Z

Posted Aug 28, 2023 | Views 689

# MLOps in Finance

# Recommender Systems

# Lloyds Banking Group

Michelle Marie Conway

Lead Data Scientist @ Lloyds Banking Group

As an Irish woman who relocated to London after completing her university studies in Dublin, Michelle spent the past 12 years carving out a career in the data and tech industry. With a keen eye for detail and a passion for innovation, She has consistently leveraged my expertise to drive growth and deliver results for the companies she worked for.

As a dynamic and driven professional, Michelle is always looking for new challenges and opportunities to learn and grow, and she's excited to see what the future holds in this exciting and ever-evolving industry.

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Demetrios Brinkmann

Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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Stephen Batifol

Developer Advocate @ Zilliz

From Android developer to Data Scientist to Machine Learning Engineer, Stephen has a wealth of software engineering experience. He believes that machine learning has a lot to learn from software engineering best practices and spends his time making ML deployments simple for other engineers. Stephen is also a founding member and organizer of the MLOps.community Meetups in Berlin.

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SUMMARY

Michelle Marie Conway joins hosts Stephen Batifol and Demetrios to share their insights and experiences in the tech industry. Michelle emphasizes the importance of constant learning and adaptation in the rapidly changing tech industry. They discuss the need to stay up to date with the latest documentation, understand code logic, and be mindful when writing code. Michelle also reflects on their experiences as one of the few women in their university math class and often being the only woman on their team in the workplace. They discuss the need for more girls to pursue STEM subjects in schools and the importance of allies in the workplace. Additionally, Michelle explores the benefits and challenges of AI tools, sharing their experiences with tools like Gen AI and Chat GPT. While AI tools enhance productivity, Michelle also acknowledges the limitations of these tools in more technical tasks and the continued reliance on developer resources. This episode offers valuable insights into the importance of continuous learning, gender diversity in STEM, and the potential of AI tools in the field of MLOps.

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