Click to learn more about author Andy Gray. There has never been a better time to be a data scientist. As businesses seek to expand their use of Data Analytics, demand for Data Science experts and remuneration levels continue to grow. With this increased focus on Data Science and AI has come an influx of […]
How Will Future Data Scientists Augment Machine Intelligence?
Our future will rely on advanced technologies like Data Science (DS) and machine learning (ML). These technologies not only enable people to convert machine language into comprehensible human language and improve images, but they also help us understand past incidents, shape the present outcomes, and accept the inevitability of future events. The future potentials lie […]
Credulous Data Science: Part Two – Surveys
Click to learn more about author Steve Miller. This is the Second Part of a two-part series. Read Part One here. About ten years ago, a software vendor with whom my intelligence consulting company partnered conducted a survey on the usage of various analytics platforms that were then prominent in the space. As a proselyte […]
Synthesio Brings AI-Powered Insights to Social Media Intelligence
A new press release reports, “Synthesio, the company behind the leading global Social Media Intelligence Suite, is excited to announce the release of Signals, a state-of-the-art trend detection & insights module. Signals leverages decades of data science and statistics experience from Ipsos (Synthesio’s parent company), and offers the widest range of automated insights on the […]
The Next Level of Data Governance, Machine Learning, and Data Science
The term, machine learning dates back to a 1959 article by Arthur Samuel, in which he posited: “Programming computers to learn from experience should eventually eliminate the need for much of this detailed programming effort.” The hope was that data alone could be used to develop models, rather than relying on fixed rules or theory. […]
The 80/20 Challenge: From Classic to Innovative Data Science Projects
Click to learn more about author Rosaria Silipo. Sometimes when you talk to data scientists, you get this vibe as if you’re talking to priests of an ancient religion. Obscure formulas, complex algorithms, a slang for the initiated, and on top of that, some new required script. If you get these vibes for all projects, […]
How to Tackle Social Issues with AI?
Click to learn more about author Charles Richard. Never have disruptive technologies like artificial intelligence (AI) and machine learning had such an impact on how your business interacts with your user community as it does now. And there is a reason for that; the accessibility of computing power and data sets have ushered in breakthroughs […]
How Interactive Technology is Revolutionizing Data Analysis in 2019
Click to learn more about author Pippa Edelen. The 21st century has seen some big developments in data analysis. It’s seen: The birth of the cloud – arguably in 2000 The development of Big Data – in 2005 The creation of technologies such as Hadoop (2006) and Spark (2014) that allowed computation on enormous data […]
Simplistic and Credulous Data Science: Part One
Click to learn more about author Steve Miller. A few months ago, I was solicited by one of my many LinkedIn Data Science groups to participate in a survey. I’m generally a bit suspicious of surveys, reviewing the questions carefully before making the decision to respond. This initiative, though, posed a question that quite intrigued […]
A Deep Dive into Deep Learning in 2019
Click to learn more about author Herman Morgan. If there is any one area in Data Science that has led to the progress of artificial intelligence (AI) and machine learning (ML) in the last few years it is deep learning. It has been around for a while but what makes it so buzzing topic in […]