The 7 Biggest Data Trends to Watch in Finance for 2017

Big data has already heralded some massive changes in the world of finance, but new tech is pushing new trends for the industry. Anyone in the financial sector—and even common consumers—can benefit from recognizing them. Data Trends for Finance in 2017 Use these trends to direct your investments, your choices as a consumer, and your direction within the finance industry

Applying Bayes Theorem to a Big Data World

Bayes Theorem One of the challenges in analyzing Big Data is its volume—there is just so much of it. Then mix in high velocity, or fast data, and standard analytical methodologies to make sense of its breakdown, and it becomes even more cumbersome and ineffective. Machine-learning techniques that self-adjust and improve over time are a more cost-effective approach than a

The Next Data Revolution: Intelligent Real-Time Decisions

Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), and accelerated scientific discovery (genomics, astronomy, biology). Today, we are seeing glimpses of the next revolution in data and computation, driven by three trends. First, there is a rapidly growing

How Will Big Data Continue to Evolve Throughout 2017

During 2017, consumers and merchants alike can expect to see their data production greatly increase. Larger and larger amounts of data are produced every single day, and this is proving beneficial from a number of viewpoints, especially in regards to artificial intelligence. What might come as a surprise, though, is that while investments in big data technology are increasing, fewer

‘Narrative Analytics’ Targets Consumer Beliefs

In the latest attempt to figure out what consumers want and how much they are willing to pay to get it, a “narrative analysis” platform launched this week crunches “cross-platform data sets” to divine consumer “beliefs and motivations.” San Francisco-based Protagonist (formerly Monitor 360) said this week its platform leverages machine learning and natural language processing to gauge the “narratives

Analyst, Scientist, or Specialist? Choosing Your Data Job Title

There’s a world of job opportunities in data, big data, data analytics, and the business improvement they can bring. A prediction for the United States in 2018 from the McKinsey Global Institute showed a shortfall of deep analytic skills in the amount of more than 140,000 people, not to mention the 1.5 million people needed with the ability to interpret

What is Data Virtualization and Why Does It Matter?

In business today, knowledge is power—just as it has always been. The most intelligent and successful businesses collect the right data, which they effectively turn into information and then into knowledge. We now live in an increasingly data-filled and data-driven society, and businesses that can thrive in this environment—by understanding and harnessing the data that flows within and around their