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Deep Learning vs. Machine Learning for Business Outcomes: A Data Scientist’s Perspective

In this special guest feature, Arvin Hsu, Senior Director of Data Science and Machine Learning for GoodData, discusses that despite the two terms being used interchangeably, deep learning and machine learning are very different in terms of the business problems they solve and the outcomes they enable.

The Intersection of AI and Big Data

In this special guest feature, Asaf Yigal, Co-founder and Vice President of Product at Logz.io, discusses the intersection of artificial intelligence and big data, and how it will be instrumental in DevOps.

How AI Is Taking Airline Customer Service to New Heights

In this special guest feature, Dermot O’Connor, VPE & Co-Founder at Boxever, discusses how AI is changing the world of customer service using airlines as an example and how leveraging this evolving technology allows marketers to do their jobs more effectively, automating the data processes that have become too difficult for humans to keep up with and providing them with the opportunity to use the insight gathered from customer data to build personalized offers that cater to each customer’s wants and needs.

Telcos Are Sitting on Data Gold Mines: It’s Time They Gild Customer Experience

In this special guest feature, Stephen Smith, Vice President of Strategic Industries at ClickSoftware, discusses how the amount of data telcos collect is quickly moving from exabyte volumes to zettabyte volumes. In an industry armed with mountains of historical data, the lift for telcos is lighter than others. A key differentiator will be how effectively companies use this data. The most successful providers will enlist the service of field service solutions to make sense of big data and use it to optimize the actions of service professionals. The result? Happier customers. Combining data analytics with human intellect to optimize customer experience from A to Z will increase brand loyalty, customer retention and overall CX in an era of unprecedented competition.

The Bane of Bad Data

In this special guest feature, Mark Woollen, Chief Product Officer at Radius, discusses how bad data is the bane of any marketer, especially those who find themselves late to marketing and sales opportunities or miss them altogether, and already costs $8.8 million annually for the average company. Research shows that in only a three-month period, 7.6% of contacts in the average CRM become unreachable, and these data inaccuracies will only worsen as data volume expands.

Five Reasons Why Your Data Science Project Could Fail – And What You Can Do to Avoid It

In this special guest feature, Afrozy Ara, Head of Data Science practice at Incedo, suggests that given the difficulty in running a successful data science project, there are some specific reasons why these kinds of projects fail.

Why Hospitals Need Big Data to Improve Patient Experience

In this special guest feature, Senem Guney, PhD, CPXP, Founder and Chief Experience Officer at NarrativeDx, discusses why hospitals need big data to improve patient experience. Hospital administrators seeking to provide excellent patient experiences need to understand responding to patients as a big data problem and arm themselves with the necessary technology solutions.

High Performance Computing: Answering the Big Data Dilemma

In this special guest feature, Jeff Reser, Global Product Marketing Manager of SUSE, suggests that as HPC’s prowess in business expands, so does its ability to solve a variety of data management problems. Individuals struggling to tackle Big Data’s most complex challenges should increasingly look at HPC to deliver the power and sophistication required to manage large volumes and varieties of data.

The Importance of Machine Learning and of Building Data Sets

In this special guest feature, Chris Haddock, a software product manager with ADEC Innovations, discusses how the foundation of a machine learning project for companies large and small is training data that will be used to teach the machine to recognize patterns. The quality of the training depends on the quality of the data input.

The Technology Behind Today’s Hyper-Personalized Customer Experience

In this special guest feature, Shubhra Sinha, VP of Portfolio Marketing at DataStax, dive into today’s personalized customer experience, analyzing which strategies and components are required to achieve real-time personalization.