6 Books & Strategies that increase Ops effectiveness in AI products 📚
MLOps (Machine Learning Operations) and Product Ops are often underrated, but they are the backbone of successful AI products. How should leaders think about increasing their effectiveness?
1. 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵 𝗖𝗹𝗲𝗮𝗿 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀
Clarity is key. Clear communication ensures everyone from engineers to customer support is aligned with your product's vision.
⚙️ Leverage collaborative tools like Slack or Microsoft Teams to facilitate transparent and efficient cross-departmental dialogue.
📚 "Crucial Conversations" offers valuable tactics for navigating and mastering high-stakes discussions: https://amzn.to/3RbqG0y
2. 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗨𝘀𝗲𝗿 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸
User insights are the lifeblood of AI product efficacy. Harnessing this feedback propels your product from good to great.
⚙️ Utilize platforms like UserVoice or Qualtrics to gather actionable user insights.
📚 "The Lean Startup" by Eric Ries emphasizes the importance of customer feedback in product development: https://amzn.to/4a1T2CP
3. 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗥𝗼𝗯𝘂𝘀𝘁 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
Monitoring is critical for maintaining the health of AI systems. With proper oversight, you can ensure AI applications perform at their peak.
⚙️ Implement monitoring tools like Prometheus to track AI model performance.
📚 "Site Reliability Engineering" by Jennifer Petoff provides insights into maintaining high-performing systems: https://amzn.to/3uCBz3I
4. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻
AI thrives in an environment where collaboration is the norm. Break down silos to build AI that resonates with users.
⚙️ Facilitate interdepartmental meetings and collaborative sessions to ideate and iterate.
📚 "Team of Teams" by @Stanley McChr General Stan McChrystal discusses the power of collaborative effort: https://amzn.to/4154Z6K
5. 𝗔𝗱𝗼𝗽𝘁 𝗔𝗴𝗶𝗹𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀
Agility is non-negotiable in AI product management. It allows you to navigate the complexities of AI with flexibility and speed.
⚙️ Embrace agile frameworks like Scrum or Kanban to enhance your product development cycle.
📚 "Scrum: The Art of Doing Twice the Work in Half the Time" by Jeff Sutherland provides a foundational understanding of agile practices: https://amzn.to/3sPdN45
6. 𝗘𝗺𝗽𝗵𝗮𝘀𝗶𝘇𝗲 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗔𝗜 𝗨𝘀𝗲
Ensure that your team is trained on the ethical implications of AI, prioritizing fairness, transparency, and accountability in your products.
⚙️ Conduct ethical AI training sessions and establish a review board for AI ethics.
🛠️💻"Weapons of Math Destruction" by Cathy O'Neil explores the ethics of AI algorithms: https://amzn.to/40Zrudn