Are you making unstructured data work for your business?

With more and more emphasis on the use of cognitive computing, it is but natural that its impact will be felt on today’s data analytics landscape. For the longest time, Enterprises chose to mostly ignore unstructured data since the tools and skills required to derive meaning from it were not sophisticated nor flexible enough. No longer so. Today, among the solutions offered for the analysis of unstructured data are Machine-Learning and Artificial

The War of the Algorithms

Algorithms are biased, opaque and scalable. Dr. Cathy O'Neil calls them Weapons of Math Destruction in her new book. In particular, those algorithms that are used to segment customers into the good, the bad and the ugly segments. Today, unknown to us, many aspects of our individual and corporate lives are governed by algorithms. This is the opacity that we are unaware of. It is the inconvenient truth that no one is

Top 5 trends in data analytics in 2016

Data analytics was on top of the investment list of many global organizations in 2016. Express Analytics analysts took a hard look at the data landscape around them to understand the direction in which big data and analytics had moved this year. The EA team realized that there was much forward movement on cognitive computing, artificial intelligence and machine learning. Based on feedback received, we've prepared this simple, yet, incisive infograph to

10 things about Computer Vision and data analytics you may not know

To most they consist of just pixels but digital images, like any other form of content, can be mined by computers for data, which can then be analyzed. The extraction of information from still images and even video, using image processing techniques including algorithms, is on the cusp of going commercial. There are two forms - Machine Vision, which is the more "traditional" form of this tech, and a digital world

Use of Artificial Intelligence in customer interaction is getting intelligent

Artificial Intelligence (AI) is back in the headlines as more and more companies like Amazon, Google, Facebook, Twitter and Microsoft have started to commercialize its use. Four important developments in the past few days on this front caught our eye. The most recent was last week's announcement of an AI partnership by Google, Facebook, Amazon, IBM and Microsoft. The new alliance is dedicated to advancing public understanding of the sector, as

Will cognitive computing eventually transform the way we do business?

Cognitive computing today is like the embryonic chick beginning to peck its way out of the egg. - Hadley Reynolds, Principal Analyst, NextEra Research: May 2016. It’s been around for 50 years, going from the drawing board to the lab to field tests, but it’s only now that cognitive computing is on the cusp of going mainstream. World over, outside of tech companies who were early adopters, businesses have just about

App Analytics: The path to better apps

In last week's post, I had talked of m-commerce, and how companies could take advantage of the popularity of mobile devices to leverage their brands. In this post, I will examine application analytics and how they can change the way your company handles data. App analytics refers to a group of methods related to optimizing the performance of an application. App analytics does this by looking at three key factors: how

Mobile Commerce: Changing the way we do business.

From Desktop computing to mobile commerce.

Mobile Commerce, or m-commerce, refers to the new way companies are doing business that is centered around the increasing use of mobile devices like phones, tablets and smartbooks. First developed as SMS-based services in the mid 1990s, m-commerce has shifted toward using applications on the iOS and Android platforms. This trend has also been mirrored by phone makers in the past five years, with major mobile manufacturers like Apple and Samsung integrating

Analytics helps understand potential of online channels in direct hotel bookings

For several years, the hotel industry’s entire pricing strategy globally was - ‘heads in beds’. The thumbrule a hotel’s general manager deployed was – no room must go vacant. Filling hotel rooms (without really factoring in price) was the preferred way. That strategy’s long gone out of the (hotel room) window. With increased competition, wafer-thin margins and a world becoming increasingly digital, pricing policies are no longer so “simple”. The hospitality industry

How data driven decision-making helps restaurants buck the trend

A couple of blogs posts ago we had talked of how data was fast becoming a very critical component in a restaurant's kitchen. Bloomberg Gadfly columnist Shelly Banjo, who covers retail and consumer goods, recently wrote a column on how almost all the big restaurant chains in the United States had reported a drop in sales in Q2, 2016, hinting at an industry downturn. While we are not getting into the

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