Click to learn more about author Neil Barton. Volume dominates the multidimensional Big Data world. The challenge many organizations today are facing is harnessing the potential of the data and applying all of the usual methods and technologies at scale. After all, data growth is only increasing and is currently being produced at 2.5 quintillion […]
The Latest Retail Insights You Need to Know for Your Data Strategy
Click to learn more about author Mathias Golombek. Breathing new life into retail with data analytics. Retail is a data rich environment that thrives on its ability to identify, anticipate and execute on market and customer opportunities. The sector’s focus on customer experience and the so-called “end-to-end journey” should be contributing to the transformation effort. […]
The Role of Big Data Analytics and AI in the Future of Healthcare
Click to learn more about author Asha Saxena. The media buzz that surrounds Big Data, artificial intelligence (AI) and machine learning (ML) has never been higher, so much so that it can overshadow the real applications and actual outcomes companies are working on. But larger than life promises or hype might have an eclipsing affect around […]
Successful Augmented Analytics Initiatives Do Not End with Implementation
Click to learn more about author Kartik Patel. The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, nor does the process stop with training. In order to get business users to embrace and adopt self-serve augmented data discovery tools, the enterprise […]
Is It Time to Replace OCR with AI?
Click to learn more about author Jasmine Morgan. Document processing is a necessity, yet it consumes so much time that every large organization is striving to find ways to automate it. However, any solution to be feasible needs to be as accurate as possible, especially in the case of financial documents. Old-school OCR Until AI became […]
Are Businesses Ready for AI? Why the Answer Doesn’t Matter (Part 2)
Click to learn more about author Thomas Ash. In Part One of this series, I addressed some of the apprehension associated with artificial intelligence (AI). Now that AI is “real” and being put to work outside of research labs, some are afraid of losing their jobs to machines. Others worry that the technology could be […]
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 […]