LabelGPT helps in automating the process of labeling image datasets and is a product by Labellerr.
GenAI adoption is higher in B2C use cases, while B2B is still navigating its potential.
Quality data is crucial for tuning GenAI models to fit specific business needs.
Fortune 500 companies are using GenAI for developer productivity, but some are hesitant due to data privacy concerns.
I decided to include “Gen AI” alongside Health, Wealth, and Relationships as a fourth evergreen market, reasoning that generative AI will have lasting, cross‑industry relevance comparable to the three classic markets.
I decided to adopt a transparent‑honest → short‑term delivery stance in AI sales, believing that ethical, realistic expectations build lasting trust.
Instead of pushing sales, it's crucial to connect with our customers on a deeper level.
While it might be tempting to promise the moon just to secure a customer, it's more ethical and sustainable to be transparent and honest about what we can deliver in the short term.
I am exploring which “pockets” in the AI landscape are delivering scalable ROI, noting that the current value of AI feels “quite foggy”.
I shared a reminder that Generative AI isn’t just ChatGPT, just like Blockchain isn’t just Bitcoin. 🚀 While ChatGPT is a popular example, Generative AI covers a wide range of tools and applications—from content creation to data generation across industries. Similarly, Blockchain is more than just Bitcoin—it powers secure transactions, smart contracts, and more. I’m urging the community to think beyond buzzwords and explore the full potential of these technologies. 💡