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At the heart of digital transformation is the creation of new data assets that drive the processes that fuel digital business. Optimizing and operationalizing the data asset creation process is at the core of the next iteration of the data lake, in which the data lake becomes the production line for the digital business. Companies that succeed at optimizing these production lines will ultimately have a tremendous leg up over their competition in the digital economy.

The Role of Big Data in Preventing Healthcare Fraud, Waste and Abuse

Big data has massively transformed the healthcare industry in so many ways, contributing largely to today’s more efficient, value-based healthcare system.

Why It Pays to Bet Big on Big Data in Healthcare

The ability to analyze and understand large data sets has become a huge factor in how enterprises identify new opportunities and improve overall customer experience. But not only is big data changing the way businesses compete and operate, it’s also creating a significant impact in the healthcare industry.

Big Data and the Telecom Customer Service Experience

Like many industries, the telecom industry is facing challenges. With ubiquitous internet access to new services and extremely low switching costs, customers have more choices than ever. This may be great for customers—but it’s certainly not great for the communications industry, which has to handle rapid change and increasing competition.

Five Big Data Use Cases for Retail

The retail industry continues to accelerate rapidly, and with it, the need for businesses to find the best retail use cases for big data. Sales alone are expected to grow by 3.5 percent in 2017, and e-commerce continues to make massive gains with an expected growth of 15 percent this year (Kiplinger, 2017).

Tableau and Hadoop Data Lakes: Three Ways to Get Data Where You Want

Tableau is one of the most popular (if not the most popular) desktop data visualization and discovery tools on the market. And Hadoop-based data lakes are growing dramatically to serve up the massive volumes of data that analysts need to answer pressing new business questions.

Four Ways Telefonica Uses Big Data to Put Customers First

Competing in any market today is incredibly difficult. But competing in the telecommunications market, where there is an incredible degree of industry disruption and digital transformation, can be more difficult than most.

More Thoughts on SQL on Hadoop

My colleague @KarenHsuMar recently wrote about considerations for SQL on Hadoop. In short, putting SQL on Hadoop really limits the innovation Hadoop brought to the table, and purchasing managers should beware.

AI’s Potential and Challenges

Hear from Andrew Brust, blogger at ZDNet and Datameer’s Senior Director of Market Strategy and Intelligence, or skim through the transcripts to learn about AI’s potential today.

5 Big Data Challenges (Plus Free Resources to Help)

While most big data teams have similar goals, they often stall in different areas. These areas can range from deciding exactly what to do with the data to deciding how to provide more people with more access to data. But we’re here to help. Today, we’re going through the top five challenges that big data teams face, and how you can address them.

Four Ways Big Data Helps Deliver Value from AI

Long having an intriguing mystique, Artificial Intelligence (AI) continues to struggle when it comes to delivering business value. The question remains: can new tools and/or packaged solutions help organizations obtain better business results from AI?

The Role Big Data Will Play in AI’s Future

AI has been hyped up for ages. Remember the 60s, and Herbert Simon predicting, “machines will be capable, within twenty years, of doing any work a man can do”? Well, we know how that turned out.