Using Machine Learning and Data Science for Performance Tuning in Oracle

Like many DBAs, I have experienced the ups and downs of database performance tuning. Many battles have been fought to tune and maintain an Oracle database yielding mostly victories, but also a few hard-fought lessons learned.  Performance tuning is a constant in my job and I’ve learned a lot; but for every early morning phone call… Read More

Campaign Management using Advanced Analytics

Campaign management is a strategy to use marketing campaigns to create sales and leads.  The Internet has been a treasure trove of consumer behavior for decades, it is only recently that web analytics has become a tool to create powerful business insight.  Two popular strategies deal specifically with pattern recognition.  Two pattern recognition strategies include… Read More

Example of an Entry-Level Data Scientist Job Post

The following is from a posting from a Data Science Intern for Lenovo.  A good example of what to expect with a typical Data Science position. The Data Scientist Intern will be expected to perform data mining, statistical learning, predictive modeling, mathematical and simulation modeling, forecasting, data visualization in support of key strategic projects.This position… Read More

Comparing Statistical Control and Machine Learning Models in Evaluating Performance in IoT Systems

Excerpt of submission to the Southern Data Science Conference that will be held in Atlanta GA.  This proposal is a first in a series of proposals in IoT and Analytics research that will posted on Data Flux.  For more info go to https://www.southerndatascience.com/submission-guidline SUMMARY Internet-enabled devices and the Internet of Things (IoT) will continue to become… Read More

Big Data as the Next Major Utility: Musings on the Future of Autonomous Vehicles and CASE.

“Big Data” is everywhere.  It powers business solutions as well as drives economic opportunity.  Is it possible that “Big Data” will become the next major utility?  Autonomous vehicles (AV) and Machine Learning (ML) may fill the gap that makes Big Data a distributed utility where you pay for how much data you use and the times you use it. Read More

DataSciCon.Tech 2017 Review

DataSciCon.Tech is a data science conference held in Atlanta, Georgia Wednesday November 29th to Friday, December 1st and includes both workshops and conference lectures. It took place at the Global Learning Center on the campus of Georgia Tech.  This was the first year of this conference, and I attended to get a sense of the data science scene in Atlanta.  Overall, the experience was very enlightening and introduced me to the dynamic and intensive work being conducted in the area of data science. This is a very high-level overview of what I learned. Read More

Information Technology and Workplace Diversity

My career in information technology spans twenty years, but my exposure to information technology started before I was a teenager.  At that time, business productivity was popular, but still regulated to personal desktop computers and IBM Mainframes.  Web services, e-commerce, cellular phones, software services, etc. didn’t exist. Productivity software was truly a one-to-one experience.  You… Read More

What Companies Need to Know About Big Data and Social Computing in Information Technology Management

The IT-business value proposition seeks to apply technological innovations to business processes to meet the current and future demands of customers and the market.  What do companies need to know before using “Big Data” and Social Computing as an IT business strategy? Read More