Empowering Employees // Mohamed Abusaid and Mara Pometti // MLOps Podcast # 177

MLOps Coffee Sessions #177 with Mohamed Abusaid and Mara Pometti, Empowering Employees: Education and Literacy for Data and AI in the Workplace sponsored by QuantumBlack. // Abstract Trust is paramount in the adoption of new technologies, especially in the realm of education. Mohamed and Mara shed light on the importance of AI governance programs and establishing AI governance boards to ensure safe and ethical use of technology while managing associated risks. They discuss the impact on customers, potential risks, and mitigation strategies that organizations must consider to protect their brand reputation and comply with regulations. // Bio Mara Pometti Mara is an Associate Design Director at McKinsey & Company, where she helps organisations drive AI adoption through human-centered methods. She defines herself as a data-savvy humanist. Her practice spans across AI, data journalism, and design with the overarching objective of finding the strategic intersection between AI models and human intents to implement responsible AI systems that move organisations forward. Previously, she led the AI Strategy practice at IBM, where she also developed the company’s first-ever data storytelling program. Yet, by background, she is a data journalist. She worked as a data journalist for agencies and newsrooms like Aljazeera. Mara lectured at many universities about how to humanize AI, including the London School of Economics. Her books and writing explore how to weave a humanistic approach to AI development. Mohamed Abusaid Am Mohamed, a tech enthusiast, hacker, avid traveler, and foodie all rolled into one individual. Built his first website when he was 9 and fell in love with computers and the internet ever since. Graduated with computer science from university although dabbled in electrical, electronic, and network engineering before that. When he's not reading up on the latest tech conversations and products on Hacker News, Mohamed spends his time traveling to new destinations and exploring their cuisine and culture. Mohamed works with different companies helping them tackle challenges in developing, deploying, and scaling their analytics to reach its potential. Some topics he's enthusiastic about include MLOps, DataOps, GenerativeAI, Product thinking, and building cross-functional teams to deliver user-first products. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Mara on LinkedIn: https://www.linkedin.com/in/mara-pometti Connect with Mohamed on LinkedIn: https://www.linkedin.com/in/mabusaid/ Timestamps: [00:00] Mara and Mohamed's preferred coffee [00:47] Takeaways [05:04] Big shout out to QuantumBlack and thank you for sponsoring this episode [05:37] Please like, share, and subscribe to our MLOps channels! [05:53] How QuantumBlack uses LLMs [08:54] Using Notion AI function [09:33] Shapers [12:08] Build on existing services with sophistication [15:41] Being creative to compete [21:19] From taker to shaper, from shaper to maker [25:24] Testing prompts [29:33] Next troubleshooting steps when prompts go wrong [32:29] Backup mechanisms essential for improving LLM product [35:07] APIs and external models in the in-house setting [37:38] Calling "Open-source" as legitimately "Open-source" [40:32] Privacy or Convenience? [44:41] API Usage Approaches Split [51:07] Companies serious about privacy, data usage, important regulations [58:39] AI's potential danger lies in text disinformation [1:00:11] Cultural influences [1:01:19] Wrap up