Marily's 2023 in photos, AI recap and opportunities for you
I'm grateful for reaching almost 100k followers across platforms for my work on establishing and educating in the field of AI Product Management! I was very hesitant to jump into the creator world, call it shyness, call it impostor syndrome, but ignoring my hesitation was the best decision I ever made. Your support has encouraged me to find ways to share my expertise in every possible way. This post aims to express my 2023 in photos, AI Recap, my goals for 2024 and opportunities for you.
2023’s Personal highlights
I founded the AI Product Academy and the very first and best AI Product Management Bootcamp.
I got featured in Times Square 🤯
I taught AI Product Management at Harvard Business School
I presented at SF’s TED AI about my AI Product Management Bootcamp
I spoke at TechCrunch SF about AI & Product
I was invited for a special fireside chat about AI & Product at Startup Grind with their CEO
I was on Lenny’s Podcast with
I met Andrew NG
Also Shreyas
I also reached:
50k followers on LinkedIn and 6 million impressions
15k subscribers on substack (you’re here!)
20k followers on Instagram
Started my YouTube channel (please subscribe as it’s only still a baby!)
My AIProductGPT went viral!
My AI Product Management Bootcamp & courses reached ~2.5k students. I am so grateful for this. In fact, I am now GROWING this and have very exciting opportunities coming up.
Please take a moment to fill out this survey about my course and get a 10% off coupon for January’s AI PM Bootcamp Cohort (Starting Jan 8!) AND get in the draw for 1 person that will get in for free
2023’s AI highlights
Generative AI's Surge: As you all know, 2023 witnessed a remarkable growth in generative AI. Major tech companies released models like OpenAI's GPT-4 and Google's Bard, though no clear ‘winner’ emerged as a universally adopted AI application. The focus shifted towards creating AI tools that enhance productivity, potentially embedded in various applications.
Understanding Language Models: There was a significant focus on understanding how language models work, revealing their tendency to generate biased and inaccurate content. Efforts were made to improve these models, but challenges remain in understanding their behavior fully.
AI’s Impact on Business and Industries: AI adoption continued to grow, with a third of organizations using generative AI in at least one business function. The technology sector and North America saw the highest use. However, the overall adoption of AI tools remained steady, and AI's usage was concentrated in specific business functions like marketing, sales, and product development.
AI High Performers: Organizations that derived significant value from AI, termed 'AI high performers,' were ahead in adopting generative AI, especially in product development - which is where AI & Product Management comes in. These companies focused less on cost reduction and more on creating new business opportunities and enhancing existing offerings with AI - which is exactly why it is so crucial for everyone to upskill.
Workforce Transformation: The rise of AI is reshaping the workforce, with many roles being redefined. There's an expected increase in reskilling efforts, especially among AI high performers, and some decrease in workforce size, particularly in service operations.
AI’s Transformational Role: AI significantly impacted various fields, including healthcare, education, and creative arts, demonstrating capabilities like answering complex medical questions and creating persuasive political messages. However, this progress raised concerns regarding transparency, bias, and ethical use and the growing need for robust regulations in the AI space is highlighted.
AI in Education: AI's role in enhancing human learning was a key discussion point, focusing on personalized support for teachers and improving learning assessment quality. Risks such as lack of cultural diversity in AI outputs and potential inaccuracies were called out.
Creative AI Applications: Innovations like the AI model EDGE demonstrated AI's potential in creative domains, like choreographing dance sequences to music, showcasing the versatility of generative AI models.There was a lot of action as every single company invested in AI, featuring integrations and innovations. The open-source community further energized the entire space, creating a sea of opportunities for everyone to adopt Gen AI.
Free guides
The Ultimate Guide for AI OKRs
FREE Prompts to craft your own ChatGPT
Opportunities
I’m preparing something big and want to do this with you:
If you are an AI Product Manager fill out this form, I already have over 2k people that responded to this form and will be reaching out soon.
Support my work by:
Following me on
🔗 LinkedIn
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Booking a session with me: 🤝 Coaching
Becoming a paid subscriber to this newsletter
Moreover:
If you are interested in a private AI Product Management training, reach out to me at: hello@aiproduct.academy.
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If you’d like do join my next cohort of the AI Product Management Bootcamp (Jan 2024!) please take a moment to fill out this survey about my course and get a 10% off coupon for January’s AI PM Bootcamp Cohort (Starting Jan 8!) AND get in the draw for 1 person that will get in for free or just register directly here.
Thank you!
