Synthetic Data: Innovation or Illusion?

Too many artificial intelligence correspondents are singing the praises for synthetic data without diving into the details. Synthetic data is currently a subset of one of the three driving factors that will decide the pace of advancement of AI models. These factors include: So far, more compute trained on...

The Tech Translator Will be the New Accountant

The other day, I went to the dentist to get a regular cleaning. I was a new customer for this practice so I had to go through the whole rigamarole with the x-rays despite sending them files from my previous Dental office. After the x-rays, I was escorted to...

Tips From a First Time Home Buyer

If you follow the news, you have likely seen that homes are more expensive now than anytime over the past 20+ years. Because there is no quick fix to a supply imbalance, I believe that the housing market will continue to be a “sellers market” in many places for...

When Does AI Make Sense?

Every emerging technology is accompanied by CEOs champing at the bit. Artificial Intelligence, or AI, is no different. The C-Suite is throwing “AI” into as many conversations as possible to appease shareholders and give off the appearance of a technologically savvy company. While organizations love to embrace new technologies,...

AI Will Not Replace Tech Jobs

In an era teeming with technological advancements, the fears surrounding artificial intelligence (AI) have become dramatized to say the least. The widespread concern that AI will displace tech workers, among many others, seems to be the prevailing narrative. Do not let the media’s obsession with doom and gloom get...

How To Choose My College Degree

Society expects an 18-year-old to make one of the most important decisions in their life with little to no help. I’m talking about choosing your college major. I remember having conversations with my high school counselor, family, and college advisor, but most of the advice was unhelpful. Ironically, the...

Book Review: Designing Machine Learning Systems

An important part of every data science professional’s growth journey is evolving from data preparation and model training to owning the entire machine learning development cycle. The full cycle includes data ingestion, data cleaning and preparation, feature engineering, model training, model evaluation, model deployment, model serving, and model maintenance....

Product Managers Must Decide: Features or User Design

The bifurcation of markets into two extremes seems to be a common theme across many applications. Whether it is the right vs. left in journalism, the demand for data scientists, or the divide between discount vs. luxury retail; the stable state often settles at the extremes. When it comes...

Building a Climate Change MEME Generator

Memes are the most efficient messenger in society today. Is there any other vehicle that can carry a powerful statement across the world as quickly and efficiently as a good meme? This thought process was the inspiration for my group’s entry into OpenAI’s recent Climate Hackathon: The Climate Change...

Software Will Replace Your Financial Advisor

As a data scientist, I find it hard to believe that anyone would trust their financial portfolio to an advisor who doesn’t understand the basics of statistics and probability. Yet, how many investors do you know who blindly trust their advisor or financial planner? How many of those advisors...