This year marks the 10th anniversary of Capital One Coders, our volunteer program that connects our technologists with students in local schools and other youth-serving nonprofits at a critical period in their development. Learn more here. https://t.co/IklL0Jqp5g
The reality for many companies is that data access and environmental controls which are vital to security can also add inefficiencies to the model development and testing life cycle.
https://t.co/B7rYAIyUQx
At Capital One, AI and machine learning are foundational to our mission to help improve the financial lives of our 100+ million customers. We’re thrilled to see that Capital One has been recognized as #1 in AI talent and the #2 global bank in AI... https://t.co/2ZEBQaJRuy
With the help of @CapitalOne technologists, students in Virginia will have access to a new data science course. @CodeVirginia tells us more. https://t.co/ixqMpdvoIG
TWIML AI sat down with Disha Singla, Senior Director of Machine Learning Engineering, to learn about how her team is building reusable libraries, workflows and components that allow citizen data scientists to drive meaningful insights.
Capital One was named not once but TWICE on Fast Company’s 2023 Most Innovative Companies list for Business Services and Travel & Hospitality! I’m so proud to work for such a trailblazing company. https://t.co/TAuWw1CFjb
The next few years are crucial to ML operationalization. ML is beginning to drive business impact, with automated anomaly detection as the top priority in the next one year to three years. Read the full Capital One commissioned Forrester study here. https://t.co/vmusI9vzp2
Today we’re joined by @CapitalOne’s Disha Singla to discuss her team’s work building a platform & tooling for the democratization of AI within the company. We explore use cases, ML ROI, transitioning to a real-time platform, and much more!
🎧 https://t.co/3lWAxtE16k
My colleague Vannia Gonzalez Macias talks about Capital One’s internal #machinelearning platform that can detect anomalies in credit card transaction data. Check it out! https://t.co/STKelp3A81
There's a great article on rubicon-ml in @sdtimes. A huge thank you to the team at @CapitalOneTech for the mention! See them discuss rubicon-ml live at #AllThingsOpen!
https://t.co/4fybbv5N49
Dave Kang, SVP and head of data insights at @CapitalOne, told @HR_Brew how he teaches younger AAPI professionals to navigate the "bamboo ceiling."
To advance, Kang said it's AAPI professionals need to let go of their "critical third eye."
https://t.co/sTVRX7AuN8