Let's talk Product and AI
“People don’t buy what you do; they buy why you do it.”— Simon Sinek It's very common nowadays, to see teams chase every new coding assistant, chatbot, and AI agent—only to end up spinning in circles. So let's drill down here. When you let shiny tools dictate your roadmap, you muddle your product vision, lose … Continue reading Answer Your “Why” Before Building an AI Product
As a Machine Learning Engineer, designing a data pipeline involves ensuring data flow is efficient, scalable, reliable, and optimized for the requirements of ML models. Here’s a structured outline to keep in mind: 1. Data Ingestion Sources and Types: Identify data sources (e.g., databases, APIs, logs, IoT devices) and data types (structured, semi-structured, unstructured). Batch … Continue reading Quick Outline for Designing Data Pipelines for Machine Learning Projects
Topic 1 : Rabbit hole of Investments, How to think in Bets, Risk Management, Forcing out your authentic self (POV) Source: Wharton's Private Equity & Venture Capital (PE/VC) Club Fireside Chat series This is an interview of Chamath Palihapitiya by Wharton's PE club. He is a pretty controversial public personality, I do enjoy listening (agreeing … Continue reading TIL Journal : Oct 04, 2024
AI GTM, Never ending quest of PMF, Most important slide in your pitch deck ... Topic 1: Source: Lenny's Podcast | Lessons from a 2-time unicorn builder, 50-time startup advisor and 20-time board member | Uri Levine Notes from my NotebookLM assistant: Here are some important takeaways from the podcast in a Q&A format: What … Continue reading TIL Journal : Oct 03, 2024
2024 is looking to be the year where a lot of applied Large Language Models (LLMs) from enterprise companies, other than the creators of the foundation LLMs, are going to come out of the Proof of Concept (POC) phase to actually being used by their customers. It's gonna be a year of trial and error, … Continue reading What’s LLM Observability ? Latest tools to look out for
Large Language Models (LLMs) have significantly turned the tide towards AI applications being taken seriously by almost every company in every single domain. Now if you a Product Manager, you may come across the ask - Craft a Go-To-Market (GTM) strategy for an LLM feature. So here's a sample GTM strategy for a new LLM … Continue reading Sample Go-To-Market Strategy for an LLM feature- Translate natural language to query language in a database company
Let’s get one thing out of the way - the market opportunity for cybersecurity as a whole - in the next 5 years, is humongous. Gartner predicts it will reach $267 billion in 2026, with an annual growth rate of 11%. If there is one domain where you find it difficult to find experienced professionals, … Continue reading The Plentiful Cybersecurity Problem: Too Many Vendors, Too Little Product Sense
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