A @forrester Consulting study commissioned by Capital One found that focusing on usability, adopting low/no-code interfaces wherever possible, and applying sensible governance policies are all ways to expand #machinelearning in the workplace. Learn more from the findings ⬇️.

ML and data engineering 🤝 DevOps. Learn how MLOps can help streamline data processing and machine learning processes and foster collaboration across teams below.

Need a starting point for using the Pandas concat(), join() and merge() methods to perform data analysis? We’ve got you covered–read more below.

We wanted to make it easier for customers to redeem their Capital One credit card rewards in store. So we built a #serverless, scalable API that lets customers redeem their rewards at the point of sale in partner stores, like REI. Learn more here 👇.

We built a digital pass system to help eligible customers gain contactless entry to Capital One Lounges. What looks like an easy customer experience is actually multiple #serverless, scalable APIs built in-house. See how we built it 👇.

What do olympic-sized swimming pools and #angular have in common? Find out in software engineer Reagan Henke’s latest blog about her experience at @ngconf and what the latest Angular product changes and features mean for web development teams.

Reasons to avoid configuring SQS batch size of 1 for #Lambda with a SQS event sources: 1️⃣ It’s expensive 2️⃣ It can lead to higher processing times for high message volumes 3️⃣ It can exhaust available concurrency for Lambda functions in the AWS account. Learn more below ⤵️.

Spread your wings and fly over to our latest blog about Flutter app development and techniques for developers building cross-platform apps.

RT @VentureBeat: Businesses need to focus on data optimization in order to operate more efficiently, scale faster and get the most out of t….

Learn how just one small team helped create the foundations of a singular software delivery pipeline used by thousands. 🤯 Kirsteen Donachie will share all the details—plus principles and best practices—in her #LWTSummit speaking session, “The Little Engine that Did.”.

LGBTQ+ women, nonbinary and trans technologists help Capital One think big and build innovative tech platforms. 🙌 See how at the #LWTSummit this year. #TechInclusion.

New resource alert: learn how you can use the Python library scikit-learn for TF-IDF implementation.

Just because Grace Hopper Celebration 2023 is over doesn’t mean the conversation has to end. Keep learning about how women and nonbinary tech experts make Capital One what it is. #GHC2023 #GHC.

Grace Hopper Celebration 2023 is here—and so is Capital One! Swing by our booth and see some of the extraordinary work our women and nonbinary tech associates have been up to. #GHC2023 #GHC.

To train our #AI and #ML models, we sometimes deploy our existing ML workflows in a federated setting - now you can too 🥳🕺🙌. Check out our new Federated Model Aggregation open source project, featured in @SDTimes!.

Join our leaders at @FastCompany Innovation Festival this week to learn how tech underpins everything we do at Capital One💡.

Our head of AI/ML engineering, @AbhijitBose offers best practices for using data-driven #MLOps strategies to empower AI success. Learn more!.

Senior manager of product management at Capital One, Michelle Legere, says that “The Google HEART framework should be a tool in every Product Manager’s toolbox.” Learn why.

Let’s talk time series data — we have the tips you need for using ARIMA models for time series forecasting in Python. Learn more here 👇.

Which cloud deployment model is right for your company? Read this blog post for a look at the four most common models - public, private, hybrid, and multi-cloud - and the pros and cons of each.