Gen AI Data Guy

According to Gemini here is the latest news:  Here's a rundown on some recent Generative AI news you might find interesting: Nvidia's New Architecture: Nvidia announced their next-gen "Blackwell" architecture for GPUs [1]. This promises a significant leap in performance for running large language models and other generative AI tasks. AI for Mental Health: An article highlighted how chatbots powered by generative AI are being used to help Gen Z with mental health struggles [2]. Amazon Invests in Anthropic: Amazon is making a further investment in Anthropic, an AI startup focused on developing safe and beneficial AI [2]. This suggests big players are keen on the potential of generative AI. Google and Reddit Partner Up: There have been talks about Google and Reddit forming a new partnership [4]. This could involve using generative AI for content creation or recommendation on Reddit. Overall, the field of Generative AI is seeing continued investment and de...

Google’s Beta AI Content Rewriting Tool : Google is testing an AI tool that finds and rewrites quality content. However, some critics argue that it may incentivize the production of AI-generated low-quality content 1 . The New York Times and OpenAI Controversy : A court filing alleges that The New York Times paid someone to hack OpenAI’s products using deceptive prompts. The situation raises questions about the ethical use of AI 1 . Optimizing GPTs for Online Visibility : Learn how to increase online visibility and click-through rates for your GPT models in the GPT Store and Google Search with six practical tips 1 . AI Democratizing SEO or Amplifying Incompetence? : Understand what AI can realistically do for SEO and manage expectations regarding results 1 . Google’s “Help Me Write” AI Assistant : Google has launched an AI writing assistant called “Help Me Write” for the Chrome browser. It suggests text based on website context 1 . Google’s Gemini: Laptop-Friendly Open Language Model :...

So recently parkrun removed all their stats and as a keen running who is trying to work their way up the top 100 of their local parkrun I wanted to get some of these stats back and have a bit of "fun" at the same time. So here is a little "ETL" process that I developed with the help of Gen AI.  The steps of my ETL:  Copy and paste data into Google Sheets template where an AI produced formula extracts URLS from the text and puts them into a new field. This effectively allows me to extract the parkrun athlete id, the primary key, and use it in my analysis. I also have a column to autofill the data I am processing.  Use an Gen AI generated Google Apps script to process it into a processed sheet, this allows me to build up a backlog of events (I had over 500 to process).  This is then queried using a Gen AI Google sheets query to extract key information and columns / format times etc. I then ingest the fully processed sheet into Keboola directly from Google Sheets. ...

I decided that I wanted to ingest some weather data through a different means, this time combining Google API scripts to retrieve the data from the API and another script to connect to the MySQL Database and deposit the data. Both steps are setup on a schedule.  Setting up the API Call:  I followed the instructions from the following medium post to create a function in Google Apps Scripts that would call an API for me. I use it to call the weather API website and retrieve the weather data for where I live.  These 2 things combined import the data into my Google Sheet as per:  I have then set this up to run on a 4 hour schedule within Google Sheets using one of their triggers.  Getting the data into MySQL : So now that I have the data in Google Sheets I want to regularly import this data into a database as it only stores a single row in google sheet, though I could probably get it to persist here as well. Looking at my options with the JDBC drivers available MyS...

As much as I have enjoyed using Keboola there are some connections that it doesn't have or that just haven't worked for one reason or another. I actually came across Zapier as a solution for bringing in e-mails from parkrun to load my results every week. Honestly I have not found it to be as robust as Keboola but that might just be me archiving my e-mails before it completes it 15 minute poll.  The second use case I am working on is the pulling in Strava data, for a fitness dashboard the fact it has a built in connector for Strava is great, though I am worried given the activities I do that I might reach the limit.  I won't go into details on how to set things up but you can setup 5 Zaps that can run for a combined 100 runs during a month for free.  In my data platform / solution I am using Zaps to load harder to get / automate data. It doesn't add much from a technical point of view as it is just signing into a few account to get the data into Google Sheets for downstr...