Machine Learning
Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

3 Reasons Why Banks Can’t Afford to Ignore AI
The promise of Big Data and our ability to use it was a lofty one. Unfortunately, many Big Data efforts have turned out to be extremely costly, both in terms of the investment and the human capital required to draw insight out of it. While companies use many approaches to

This Programme Knows If Your Startup Will Be Successful
The rise of big data has ushered in a whole host of innovative startups, who all hope their idea will be the one to transform the data landscape forever. However, the startup landscape is a minefield, where even the most brilliant ideas can fall by the wayside without proper implementation

How Archaeology and Data Science Are Helping Builders to Avoid Buried Treasure
Democrata, a U.K. based Data-as-a-service provider is reducing the risk of builders stumbling upon archaeological sites or artefacts during construction by tapping into and analysing data collected by public sector information bodies. “It’s an expensive problem to have once you’ve started digging,” Geoff Roberts, CEO of Democrata, told New Scientist. “We

Pinterest Acquires Kosei to Beef Up Machine Learning & Product Recommendation
Following on from their acquisition of VisualGraph last year, Pinterest are back on the machine learning acquisition hype with their latest purchase, Kosei. Kosei is machine learning startup that is led by data scientists & recommendation engine specialists. “Over the past year, Kosei has been building a unique technology stack that drives

Facebook Open Sources Deep Learning and AI Tools on Torch
Facebook in an unprecedented move has open-sourced some of its machine learning tools with the scientific computing framework,Torch. The announcement came earlier last week on Friday, through the Facebook AI Research (FAIR) blog. “Today, we’re open sourcing optimized deep-learning modules for Torch. These modules are significantly faster than the default

Mario Gets Self-Aware with Application of Artificial Intelligence
Researchers of the Cognitive Modelling Group at Germany’s University of Tubingen have developed the Mario AI Project wherein a self aware Mario who makes decisions based on what it learns through spoken instructions or concepts and by exploring his environment. Mario here has also been programmed with internal emotive states

The Past, Present & Future of Advanced Analytics
Martin Hack co-founded Skytree in 2010 and served as its Chief Executive Officer until 2014 when he took on his current role as Chief Product Officer. He is responsible for all aspects of Skytree’s technology, product strategy and direct engagement with customers. Martin has 20+ years of experience creating game

Kreditech Acquires Polish Financial Data Analytics Firm to Boost Revenue & Enhance Services
Kreditech, the consumer finance technology group, announced yesterday the 100% acquisition of Polish financial tech outfit Kontomierz for a seven digit amount and Kreditech shares. Founded in 2009, Kontomierz has net revenues of €1 million at positive EBIT, and three-digit annual growth. This is especially impressive considering Kontomierz’s staff is only 16-strong;

WibiData Rolls Out Machine Learning-Based Experiment Framework for Personalization Models
WibiData, the Big Data outfit that uses Machine Learning to personalize customer experience for the enterprise, has announced its latest offering. “Experiments by Wibi” is the first commercial experiment framework to capitalize on the processing power enabled by machine learning in Hadoop. Experiments by Wibi offers retailers a fast way to test and

Astronomers Harness Machine Learning to Better Understand the Universe
As the scope of usage of machine learning gradually grows in enterprises and scientific fields, another field where it has penetrated is astronomy, helping astronomers gain understanding of the properties of a large numbers of stars. “It’s like video-streaming services not only predicting what you would like to watch in