Tag Archives: machine learning

Building the Machine Learning Infrastructure

June 21, 2017

Making intelligent and accurate predictions is the core objective of machine learning and artificial intelligence applications. To achieve that objective, the machine learning or artificial intelligence application needs clean and well-organized information in a robust ecosystem architecture. Machine Learning (ML) is the process of a computer system making a prediction based on samples of past… Read More »

Data Science Versus Data Engineering

June 6, 2017

In the third instalment of this blog, we told you that “the analytic discovery process has more in common with research and development (R&D) than with software engineering.” But – symmetrically, if confusingly – what comes after the discovery process typically has more in common with software engineering than with R&D. The objective of our… Read More »

Is Automation a Risk to our Job Future?

May 25, 2017

In May 2016, Foxconn reduced its employee strength from 110,000 to 50,000 in one of its factories in China, replacing a majority of its human workforce with robots. It was a shocking development and the reverberations were heard across the world as it reinforced scary predictions by futurists, academics, tech titans and economists that automation… Read More »

Machine Networks – Competitive Strength In Numbers

May 11, 2017

Personal experience informs everyday decisions. And the wiser heads among us combat any individual biases that might have influenced their thinking by seasoning judgement with other, more diverse opinions to enable faster, more accurate solutions. The interesting thing is that this kind of collective intelligence is not an exclusively human trait. Machines do it, too.… Read More »

Machine Learning Goes Back to the Future

May 9, 2017

In the first installment of this blog series, we described how the quest for artificial intelligence (AI) gave us the discipline of machine learning – the study of how to enable an intelligent agent to learn from data to improve its performance. But what has any of that got to do with commercial analytics? Learning… Read More »

The Business Impact of Machine Learning

May 1, 2017

We’ve got to the stage where we take intelligent machines for granted. We trust them to carry out complex tasks requiring extreme precision, speed, and accuracy – from pacemakers to auto-pilots. Machine learning algorithms are evolving in every industry – translating text, identifying faces in photographs, recognising handwriting, piloting drones, driving cars, and so on.… Read More »

No, You Can’t Machine Learn Everything

April 25, 2017

Machine Learning is fast becoming a source of both confusion and anxious hope to many organizations.  So much so that several customers last year told us, “please don’t talk about analytics to our senior stakeholders, because we’ve told them that we are going to machine learn everything!” Now, Machine Learning already provides enormous value in… Read More »

The Age of the Machine

April 12, 2017

Robot slaves performing menial tasks. Is this all we’ve got to look forward to as machines take over the world, capitalising on their ability to learn and create faster, more accurate decisions? Could it be that advanced algorithms are becoming the biggest threat to business and our way of life now machine intelligence is proving… Read More »

Teradata Aster AppCenter: Reduce the Chasm of Data Science

February 11, 2015

Data scientists are doing amazing thing with data and analytics.  The data surface area is exploding with new data sources being invented and exploited almost daily.  The Internet of Things is being realized and is not just theory, it is in practice.   Tools and technology are making it easier for Data Scientists to develop solutions… Read More »