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Carly is a data scientist, computational chemist and machine learning engineer. She obtained her M.S. in chemistry from the University of Colorado focusing on computational quantum dynamics. She has authored multiple peer-reviewed publications and holds two non-provisional machine learning patents. When she isn't writing about herself in the third person, building mechanical keyboards or neglecting the oxford comma, she works as a public speaker, author and content creator focusing on AI.
Bio from: Big Data LDN 2025
Talks & appearances
8 activities · Newest first
What the rest of the world can learn from gaming’s data-first approach to AI adoption.
Gaming pioneered many of the AI foundations we rely on today, from GPUs to reinforcement learning. It continues to drive innovation, but it has also built a strong resistance to hype. This session explores how gaming teams evaluate, deploy, and reject AI solutions with a discipline other industries can learn from.
What the rest of the world can learn from gaming’s data-first approach to AI adoption.
Gaming pioneered many of the AI foundations we rely on today, from GPUs to reinforcement learning. It continues to drive innovation, but it has also built a strong resistance to hype. This session explores how gaming teams evaluate, deploy, and reject AI solutions with a discipline other industries can learn from.
In this episode, we'll chat with Carly Taylor, Field CTO of Gaming at Databricks, to explore the fascinating world of data analytics in the gaming industry, where every click, quest, and respawn generates insights that shape the games we love. Carly shares her experience working in gaming to help harness data for better gameplay and smarter monetization. She'll break down what analysts, data scientists, and sales engineers actually do in gaming and how teams turn raw data into real-time decisions. Whether you're a player, a data nerd, or someone who wants to turn both into a career, this episode is your walkthrough guide to data in gaming. What You'll Learn: How gaming companies use data to optimize player experience and business outcomes What it's like to work in a field engineering or customer-facing analyst role The tools, KPIs, and best practices for success How to break into a data role in gaming and what skills to focus on Stay updated with Carly's latest by subscribing to her Substack Register for free to be part of the next live session: https://bit.ly/3XB3A8b Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter
As online gaming evolves, so do cheating methods that exploit client-server vulnerabilities. Traditional anti-cheat, such as kernel-level drivers and runtime detections, has long been the primary defense. However, advanced cheats like Direct Memory Access (DMA) exploits and AI-powered Computer Vision (CV) hacks increasingly render client-side detection ineffective. This presentation examines the escalating arms race between cheat creators and developers, highlighting client-side limitations. With CV cheats mimicking human behavior, anti-cheat must shift toward server-side, data-driven detection. By leveraging AI, machine learning, and behavioral analytics to analyze player patterns, input anomalies, and decision inconsistencies, future solutions can move beyond static detection to adaptive security models, ensuring fair play at scale. The session will also include real-life examples from Riot Games’ anti-cheat efforts, specifically insights and case studies from the development and operation of Riot Vanguard, to illustrate how these strategies are applied in practice.
Panel: How AI Is Shifting Data Infrastructure Left | Joe Reis, Vin Vashishta, Carly Taylor, Chad Sanderson | Shift Left Data Conference 2025
The rapid rise of AI has dramatically elevated the value and strategic importance of data, transforming how upstream software engineers perceive and interact with data workflows. In this expert-led panel, industry leaders will share their experiences and insights into effectively bridging the gap between data teams and software engineers. They will discuss practical strategies for proactively managing data infrastructure, enhancing collaboration, and ensuring high-quality data to support advanced AI-driven development initiatives.
My semi-regular co-host and bestie Carly Taylor joins me once again. This time we chat about the true cost of replacing engineers with AI. We explore the implications of mass layoffs, the importance of company culture, and the potential for burnout among tech workers.
My "twin" Carly Taylor joins me to chat about careers, why Big Tech and Ivy League schools are overrated, and much more.
Carly's Substack: https://carlytaylor.substack.com/
LinkedIn: https://www.linkedin.com/in/carly-taylor-data/
Burnout is a big topic right now. Carly Taylor and Ghalib Suleiman join me to chat about burnout and ways to deal with it.