Cloud Masters Episode #113
Implementing Gen AI: Insights from the adoption journeys of mscope and Global Alumni
From initial exploration to integration, we uncover the evolution of objectives, unexpected discoveries, and challenges faced along the way by two startups in implementing Gen AI in production.
Cloud Masters Episode #113

With DoiT Spot Scaling, automate your AWS Spot Instances to save up to 90% on compute spend without compromising reliability.

Cloud Masters
Cloud Masters
Implementing Gen AI: Insights from the adoption journeys of mscope and Global Alumni
Loading
/
Cloud Masters
Cloud Masters
Implementing Gen AI: Insights from the adoption journeys of mscope and Global Alumni
Loading
/

Episode notes

About the guests

Marion Roussel
As VP of Data at mscope, Marion leads a team of five data scientists using AI to help financing providers & institutional investors identify high-growth market segments and SMEs.
Rafael Merino
Rafael is CIO at Global Alumni, which is working with top universities like MIT and the University of Chicago to expand its programs and improve the learning quality of higher education through technologies like AI.
Mehdi Nemlaghi
As an AI/ML subject matter expert, Mehdi helps companies architect AI/ML solutions to their challenges. He was previously Chief Algorithms Officer at SESAMm, setting the technical direction for ML projects. Additionally he was Head of Data Science at GROUPE M6, managing a team of 5 data scientists & 2 data analysts who built out data products and developed algorithms to increase customer retention and reduce churn.
Marion Roussel
As VP of Data at mscope, Marion leads a team of five data scientists using AI to help financing providers & institutional investors identify high-growth market segments and SMEs.
Rafael is CIO at Global Alumni, which is working with top universities like MIT and the University of Chicago to expand its programs and improve the learning quality of higher education through technologies like AI.
As an AI/ML subject matter expert, Mehdi helps companies architect AI/ML solutions to their challenges. He was previously Chief Algorithms Officer at SESAMm, setting the technical direction for ML projects. Additionally he was Head of Data Science at GROUPE M6, managing a team of 5 data scientists & 2 data analysts who built out data products and developed algorithms to increase customer retention and reduce churn.

Related content

The cost impact of Large Language Models (LLMs) in production
We cover the ever-growing importance of Large Language Models (LLMs) in applications, how LLM costs can easily compound once in production, and breaking down the costs associated with using LLMs.
No longer a pipe dream — Gen AI and data pipelines
Exploring the impact that Gen AI will have on data pipelines and data engineering overall.
DoiT empowers Sweeeft.ai to architect an AI-ready infrastructure
Sweeeft.ai partnered with DoiT International to streamline HR operations, migrate AI workloads to AWS, and boost productivity.

Connect With Us