Companies pour a lot of effort into the Business Intelligence and Analytics (BI/A). In late 2013, Gartner predicted that the importance of BI/A projects for CIOs will continue to grow well into 2017 and beyond. Despite all the effort and attention on analytics though, companies are still struggling to succeed with Big Data. In a […]
Benefits of Hiring Freelance Big Data Experts
by Angela Guess Ari Amster recently wrote in Smart Data Collective, “By now, most businesses are aware of the benefits that can be gained by employing big data analytics in their organizations… Whatever the goal, big data seems to be the best way to reach it. Utilizing big data, however, isn’t always easy, especially when […]
The Future of Machine Learning: Trends, Observations, and Forecasts
The fundamental assumption in Machine Learning is that analytical solutions can be built by studying past data models. Machine Learning supports that kind of data analysis that learns from previous data models, trends, patterns, and builds automated, algorithmic systems based on that study. This article takes a realistic look at where that data technology is […]
The Internet of Things Will Make Big Data Look Small
by Angela Guess Tom Krazit recently wrote in Fortune, “It’s kind of amazing that we all settled on the term “big data” before the “Internet of things” really arrived. That pending revolution, in which we’ll see all kinds of new objects connected to the Internet thanks to the cheap hardware provided by the smartphone boom, […]
Understanding What’s Possible with Big Data
by Angela Guess Alex Woodie recently wrote in Datanami, “There are many reasons why a given organization may be lagging on big data analytics adoption. The shortage of data scientists is one, and the tightening of budgets is another. But according to analytic experts, one of the biggest obstacles to adopting big data is just […]
Big Brother Is Watching How You Use Big Data
Click to learn more about Ian Rowlands. There’s a legitimate concern about how data – and more specifically Big Data – is used. Powerful capabilities open the door to very sophisticated decision making that inadvertently strays into the realm of the unethical. Although I recognize the concern, I must admit that the publication of a […]
Big Data Can’t Be Ignored, But Some Folks are Still Trying
by Angela Guess David Fishman, vice president of marketing at Arcadia Data, recently wrote in Inside Big Data, “To read the headlines, it’s easy to think that the only thing bigger than ‘big data’ is big talk about big data, but in fact, it’s been about 3 years since Gartner’s Svetlana Sicular called the start […]
Big Data Analytics: Do Machines Have Biases?
Click to learn more about Jonathan Buckley. The prevailing opinion is that machines and computers are cold and calculating, not prone to the same knee-jerk reactions and passions that humans tend to have. In other words, they’re unbiased. They take a certain amount of input and produce a desired result based on their programming. That […]
2016 Trends in Data Analytics: More Hands Take Hold of the Power
Data Analytics is expanding its reach. In its report, Software 2016: Analytics, Acceleration and Agility, 451 Research predicts that analytics will become more prevalent throughout the layers of technology businesses use, from development to IT management, and databases to customer experience management. This is happening as the natural result of the increasing digitization of business, […]
A New Theoretical Quantum Approach to Big Data Analysis
by Angela Guess David L. Chandler recently wrote in MIT News, “From gene mapping to space exploration, humanity continues to generate ever-larger sets of data — far more information than people can actually process, manage, or understand. Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful […]