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Deep learning on the brink of expansion

Deep learning on the brink of expansion Dive Brief: Deep learning will be a key driver of performance in demand, fraud and failure predictions by 2019, according to Gartner. The technology builds upon machine learning with the provision of intermediate data representations. Applications changing focus to predictive analysis from image, text and audio processing need [...]

Monitoring Kafka: Real-Time Ops Challenge

Monitoring Kafka: Real-Time Ops Challenge Let’s say you’re a long-time expert on message-oriented middleware – say, an MQSeries (now IBM MQ) pro from back in the day – and someone asked you to create an entirely new middleware product following modern, cloud-native architectural principles, able to process trillions of messages per day. What would it [...]

By |Middleware, monitoring|

Banking on analytics and machine learning – Demystifying the terms

Machine learning, a subset of Artificial Intelligence (AI) is a method of data analysis that uses algorithms to iteratively learn from data and derive insights without being explicitly programmed. We can find examples of how Machine Learning is already a part of our daily lives – like Google Maps, using location data from smartphones, analyses [...]

Why Advanced IT Analytics Deployments Show Benefits That Are Too Good To Miss

In my previous blog, I shared why I felt that advanced IT analytics (AIA) is both an area of intense innovation, while at the same time a set of technologies that are truly coming of age. No longer just a technological curiosity, AIA solutions are already transforming many IT organizations for the better. As I [...]

Are You Thinking of Investing in Advanced IT Analytics?

There may be no more critical emerging technology for IT organizations in the digital age than advanced IT analytics (AIA) — most commonly called “operational analytics.” EMA prefers the term “advanced IT analytics” because these investments, while often centered in operations, can go far beyond classic IT operations to support IT service management (ITSM) teams, [...]

By |Advanced IT Analytics|

2017 Guide for Deep Learning Business Applications

Deep learning (a common method for developing AI applications) is exceptionally useful for training on very large and often unstructured historical datasets of inputs and outputs. Then, given a new input, predicting the most likely output. A simple intelligence formula -- but one which can be applied across almost every function inside a business. While [...]

By |Deep Learning|

The All-encompassing Role of Big Data in the Finance and Trading Industry

Big data is something that is setting its fingerprints in almost everything, irrespective of the business or industry you’re looking at. Nowadays, it is hard to separate the big business decisions from big data and this is especially true with regards to the finance and trading industry which is feeling the biggest influence of big [...]

How is Artificial Intelligence Redefining Mobile Banking?

For some time, Artificial Intelligence has entered our regular technology vernacular with continuous references and frequent mentions. Back in the 90s when tech thinkers were still speculating whether a machine can imitate rational human perception, we had no idea that in just two decades down the line this would be a massive reality. Whether machine [...]

By |Artificial Intelligence|

Artificial Intelligence and Big Data

Artificial Intelligence Artificial Intelligence (AI) has been around for decades. However, recently with the advent of “Big Data”, it’s been getting more attention. Wikipedia says this about Artificial Intelligence: “In computer science, the field of AI research defines itself as the study of ‘intelligent agents’: any device that perceives its environment and takes actions that [...]

5 Applications of Predictive Analytics

What’s in a name? For predictive analytics, quite a lot the name tells you the basic premise of what the practice hopes to accomplish. Predictive analytics is about using existing data about past events to put the present in context, and forecast potential future events and how to handle them. In other words, learning to [...]

By |predictive analytics|