Category: Data-Driven Tech

  • EdTech for All: Free/Paid IoT Courses ’22

    EdTech for All: Free/Paid IoT Courses ’22

    Featured Photo by Jorge Ramirez on Unsplash. IoT = Device + Gateway + Cloud The Internet of Things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or […]

  • Invest in AI via Macroaxis Sep ’22 Update

    Invest in AI via Macroaxis Sep ’22 Update

    Invest in AI via Macroaxis Sep ’22 Update 4 AI pillars AI thematic idea 20 stocks Asset Allocation Market Capitalization (%) Instrument Composition Market Elasticity Risk/Return Ratio Asse ratings Technical Analysis Correlation Matrix Takeaways Business headlines

  • ML/AI Diamond Price Prediction with R

    ML/AI Diamond Price Prediction with R

    Inspired by the recent study, this post will cover an analysis of diamonds with R Studio. On the demand side, customers in the market for a less expensive, smaller diamond are probably more sensitive to price than more well-to-do buyers. Therefore, it makes a perfect sense to use a pre-trained ML/AI model to get an idea […]

  • US Real Estate – Harnessing the Power of AI

    US Real Estate – Harnessing the Power of AI

    This is the continuation of our recent use-case series dedicated to the real estate (RE) monitoring, trend analysis and forecast. In these series, the focus is on the US house prices by invoking supervised machine learning (ML) and artificial intelligence (AI) algorithms available in Python as it is the language with the largest variety of libraries on the […]

  • Gulf’s Oil Price Web Scraping in R

    Gulf’s Oil Price Web Scraping in R

    Gulf’s Oil Price Web Scraping in R. Gulf states to gain $1.3 trillion in additional oil revenue by 2026: IMF. We discuss the basics of sourcing oil market price data for free online. discuss the basics of sourcing oil market price data for free online. Webscraping in R is a technique to retrieve large amounts of data from the Internet. We’ll be scraping data on Gulf’s oil prices from the Oil Price website and converting it into a usable format. This is is crucial for competitive pricing. In order to keep prices of your products competitive and attractive, you need to monitor and keep track of prices set by your competitors. If you know what your competitors’ pricing strategy is, you can accordingly align your pricing strategy to get an edge over them.

  • Cloud-Native Tech Status Update Q3 2022

    Cloud-Native Tech Status Update Q3 2022

    Cloud Computing Trends Q3 2022, market Share update key services IaaS PaaS FaaS Saas Cloud digital transformation all-the-way DevSecOps CI/Cd GitLab MLOps IoT Tech GCP gateway Big data Deloitte use-cases Stock markets Health Tech Cybersecurity Highlights Events Webinars AWS Storage E-training

  • 10 AI-Powered Websites for Content Writers

    10 AI-Powered Websites for Content Writers

    Following the recent blog, I recommend the following 10 mind-blowing AI websites you probably didn’t know existed: Magic Eraser Remove unwanted things from images in seconds. Craiyon AI model drawing images from any prompt! #craiyon Rytr A better, 10x faster way to write interview questions profile bio blogs landing page copies YouTube descriptions SEO titles testimonials & reviews etc. […]

  • ML/AI Wildfire Prediction using Remote Sensing Data

    ML/AI Wildfire Prediction using Remote Sensing Data

    Featured Photo by Mike Newbry on Unsplash Introduction Wildfire is a widespread and critical element of the Earth’s system. Wildfires can result in significant impacts to humans, either directly through loss of life and destruction to communities or indirectly through smoke exposure. As the climate warms, we are seeing increasing impacts from wildfire. Consequently, billions […]

  • Cybersecurity Summer 2022 Round-Up

    Cybersecurity Summer 2022 Round-Up

    Cybersecurity Summer 2022 Round-Up Palo Alto Networks Security Automation: Within Our Own SOC AT&T SASE Branch with Fortinet DevOps.com webinars: Modern Data Protection With Metallic DMaaS Top 5 Cloud-Native Risks IT GRC Forum Utilizing the NIST Framework for Full-Cycle Privilege Orchestration Snowflake Security Digital Shadows Digest ksqlDB AIaaS Data Security Security Boulevard Webinars E-Training Opportunities

  • The Qullamaggie’s TSLA Breakouts for Swing Traders

    The Qullamaggie’s TSLA Breakouts  for Swing Traders

    This project was inspired by the Qullamaggie’s breakout strategy for swing traders implemented as a simple stock scanner in Python. We will download the TSLA historical data from Yahoo finance. Let’s set the working directory YOURPATH and import libraries import os os.chdir(‘YOURPATH’) os. getcwd() import numpy as npimport pandas as pdimport yfinance as yf import […]