Learn how these companies leverage AI for a variety of purposes, from accelerating time to market to delivering a better customer experience.
If you thought AI was mostly being used by top-level executives and ambitious engineering interns, think again.
According to a survey conducted by the Federal Reserve Bank of St. Louis, 40 percent of Americans between the ages of 18 and 64 use AI, specifically generative AI, to some degree. While the study shows that this usage occurs both within and outside of the home, the majority of users claim to rely on Gen AI the most when they’re at work.
So how are employees using AI in the workplace? According to technologists at companies across the country, AI’s impact takes many forms.
At Capital One, for instance, AI and ML are being used to identify fraud. Meanwhile, at Roblox, the technology plays a key role in delivering a more enhanced user experience.
Regardless of the approach taken when leveraging AI, the end result for these two companies and many others is the same: make a greater impact on the tech industry – and the world at large. Read on to learn how tech teams at 15 companies are using AI and ML to enhance the product development process and how each of these organizations keeps up with advancements in this space.
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Colin Reid
Lead Engineer, Data & Intelligence • Trumid
Trumid’s credit trading network is designed to provide an optimized trading experience, offering real-time analytics, protocol flexibility and more.
How is your team integrating AI and ML into the product development process, and what specific improvements have you seen as a result?
As a leading provider of electronic trading solutions for the capital markets, our initial efforts to deploy AI and ML focused on embedding intelligence into existing features of our trading platform. From an engineering perspective, this approach was initially challenging, as many of our systems weren’t designed with ML use cases in mind. However, more recently, we have shifted to treating AI and ML as first-class considerations right from the ideation phase of new products. This change has allowed us to focus our resources on building more effective models and creating exciting opportunities to better serve our clients and advance our products and solutions.
What strategies are you employing to ensure that your systems and processes keep up with the rapid advancements in AI and ML?
We believe that innovation comes from all areas of the company, not just those directly working on AI and ML. To foster this, we’ve made development environments available to all engineers at Trumid, where they can access the latest Gen AI models and prototype their ideas. This inclusive approach empowers everyone, from front-end engineers and DevOps team members to data engineers and ML researchers, to stay current with model advancements and quickly test their use cases without significant technical barriers.
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