Lillian Pierson, P.E., fractional CMO and growth strategist, engineers marketing systems that drive predictable growth for tech startups. With a professional engineering license and 20 years of experience driving growth for Fortune 100 and early-stage companies alike, she bridges product and growth marketing to drive real boots-on-the-ground traction. She's trained 2M+ professionals in AI and data, grown organic channels to 750K+ followers, and authored 11 books including Data Science For Dummies. Lillian helps VC-backed and bootstrapped founders (pre-revenue to $6M ARR) scale through structured playbooks and data-driven systems.
The differences between discriminative vs generative models have significant downstream implications for your data and AI strategy. Today I want to provide you some analogies
You know when you need support for a product and they send you to a stupid chatbot that wastes your time and only provides you
What do retail store cameras have to do with your data career trajectory? A LOT, it come to find out! You know those cameras
Ah, vector databases! Surely you’ve heard of them. Considering that the vector database market is projected to reach $1.7 Billion by 2027, data professionals REALLY
If you’re deep into the AI game, you know having the right tools for AI development can make or break your projects. The landscape for
Looking for the ultimate Llama Index tutorial? Awesome! You’re in the right place. Read on. First, let’s talk about the amount of pressure we are
In today’s data-driven landscape, data analytics use cases are the cornerstone of strategic business decisions. They’re indispensable stepping stones that lead to sound strategies that
Based on my experience as a fractional CMO that advises data and AI startups, it’s my opinion that learning to use LangChain is an URGENT
Have you heard about the incredible progress that Snowflake has made with integrating AI and large language models (LLMs) into its platform? Snowflake’s integration of
In today’s rapidly evolving tech landscape, the fusion of AI with cloud computing is reshaping how we approach complex problems and solutions. Among the most
As you may be aware, OpenAI recently unveiled a series of new products, including an improved version of GPT-4 and a groundbreaking marketplace for developers
As we continue to learn how harness the power of Large Language Models (LLMs), we must also grapple with their limitations. One such limitation is
In this post we’re looking at one of the biggest generative AI ethics concerns I’ve uncovered in my recent research of large language models (LLMs),
Have you ever imagined a world where robots are seamlessly integrated with human-like intelligence, responding not just to pre-programmed commands but also engaging in real-time
Today I want to talk about getting in on the ground floor of any emerging technology, and how you can best position yourself for the
With the tech world evolving at lightning speed, the demand for intuitive and smart applications has never been higher. Today, we’re pulling back the curtain
Do you remember those late nights sifting through columns of data, getting lost in spreadsheets, and wishing there was an easier way to draw actionable
If you’re browsing the web looking for a powerful vector embedding example to help navigate you in your quest to build an LLM application, then
I’ve got a story for you today… It’s time we connect the dots between your demanding data analysis tasks and your existing skillsets. But don’t
No code AI tools are hard to come by, especially if you’re looking to build generative AI applications. That’s why I’m so excited to be
Looking to learn how to do voice cloning free of charge? You’ve come to the right place. It’s been a few short weeks since OpenAI
