Welcome to this week's edition of my AI Reading List.
- The AI Playbook: 6 Steps for Launching Predictive AI Projects (MIT): A structured approach involving goal setting, data preparation, and stakeholder collaboration is key to successful predictive AI projects. Read more
- Avoid ML Failures by Asking the Right Questions (MIT Sloan): Effective machine learning projects require understanding the business context and asking the right questions to align technology with business goals. Read more
- 5 Ways Marketing and Sales Leaders Can Embrace GenAI (HBR): Marketing and sales leaders can enhance their strategies by integrating generative AI for personalized content, predictive analytics, and task automation. Read more
- OmniAI Transforms Business Data for AI (TechCrunch): OmniAI simplifies data preparation for AI, making it easier for businesses to deploy AI solutions and gain insights. Read more
- Anthropic's New AI Model and Chatbot Interaction (The Verge): Anthropic's Claude 3.5 model improves chatbot interactions with faster, more nuanced responses. Read more
- How to Use GPT-4o Voice Mode (TechRepublic): GPT-4o's voice mode allows for hands-free AI interaction, enhancing accessibility and convenience. Read more
- Defining AI Incidents and Related Terms (OECD): The OECD report standardizes AI incident terminology to improve the understanding and regulation of AI systems. Read more
That wraps up this week’s AI Reading List. Follow for more updates and share your own experiences with Generative AI. Let’s keep the conversation going!
Until next time, explore confidently!
