🤖 Generative AI Lead @ AWS ☁️ (150k+) | Startup Advisor | Public Speaker | AI Outsider
𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗪𝗵𝗲𝗻 𝗖𝗘𝗢𝘀 𝗦𝗲𝘁 𝗩𝗲𝗿𝘆 𝗛𝗶𝗴𝗵 𝗘𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗚𝗲𝗻𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 🚧 𝟏. 𝐔𝐧𝐫𝐞𝐚𝐥𝐢𝐬𝐭𝐢𝐜 𝐆𝐨𝐚𝐥𝐬 🎯: 🔸Over-Promise, Under-Deliver: Leads to disappointment and loss of credibility. 🔸Misalignment: Expectations may exceed current GenAI capabilities. 𝟐. 𝐓𝐞𝐚𝐦 𝐏𝐫𝐞𝐬𝐬𝐮𝐫𝐞 ⏳: 🔸Stress and Burnout: Unrealistic deadlines increase stress among team members. 🔸Quality Compromise: Rushed work to meet expectations can lower quality. 𝟑. 𝐁𝐮𝐝𝐠𝐞𝐭 𝐎𝐯𝐞𝐫𝐫𝐮𝐧𝐬 💸: 🔸Unexpected Costs: High expectations often result in exceeding budgets. 🔸Resource Drain: Excessive resources needed, impacting financial health. 𝟒. 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐃𝐢𝐬𝐜𝐨𝐧𝐭𝐞𝐧𝐭 😟: 🔸Investor Frustration: Unmet high expectations can lead to loss of investor confidence. 🔸Customer Dissatisfaction: Overpromising capabilities can result in unhappy customers. 𝟓. 𝐑𝐞𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐦𝐚𝐠𝐞 📉: 🔸Market Perception: Failing to meet expectations can harm company reputation. 🔸Loss of Trust: Repeated failures erode trust among clients and partners. 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧: CEOs setting very high expectations for GenAI projects can lead to unrealistic goals, team stress, budget overruns, stakeholder discontent, and reputation damage. Setting achievable, realistic goals is crucial for success. #GenAI #ProjectManagement #CEO #TechStrategy #ai
Good that they have safety floaties to avoid drowning.
Great points on the challenges of setting high expectations for GenAI projects. How can CEOs better align their goals with current GenAI capabilities to avoid these pitfalls?
Yep, that's true. Lets accept the truth: we are too far away from employing AI in production. AI will never be able to replace humans
Setting overly ambitious goals in GenAI projects can result in various challenges. It's crucial for CEOs to set realistic expectations to ensure project success and stakeholder satisfaction.
Priceless
AI Engineer| Python, Machine Learning, AWS, Deep Learning, LLM, TensorFlow, PyTorch, Computer Vision, Natural Language Processing |
1yWell said!