Tag Archives: artificial intelligence

The future of marketing: Q&A with Andrew Stephen and Yasmeen Ahmad

August 9, 2017

Recently, Professor Andrew Stephen from Saïd Business School at Oxford University spoke to Yasmeen Ahmad about her thoughts on the future of marketing in an increasingly digitised world, including the key challenges facing marketers today. See the Q&A below: Stephen: What are the biggest challenges that marketers are facing right now, particularly with respect to… Read More »

What today’s machine learning and AI is and is not

August 4, 2017

All artificial intelligence methods today are around machine learning modeling and use some form of sophisticated correlation or association method, which can be approximated to brute-force robot learning. It is about reverse engineering existing features/patterns and providing useful “forward engineering” solutions like: Self-driving cars Detecting diseases from X-rays/MRIs Robots in manufacturing Chatbots for customer service… Read More »

Unchartered Waters: Machine Learning in Geoscience

July 14, 2017

I’m still riding the tide of new information that swept over me at this year’s EAGE (European Association of Geoscientists and Engineers) conference in Paris last month. This wave of change was obvious for those that looked, but many still didn’t see it for what it is: the future. I’m talking about machine learning (ML)… Read More »

Analytics, data science, ethics, robots and GDPR at ‘The Future of Marketing’ event

July 12, 2017

Fascinating perspectives present and future, delivered by The Future of Marketing Initiative, University of Oxford and Teradata Teradata recently joined forces with Saïd Business School (SBS), University of Oxford to host a day-long conference, part of the Oxford Future of Marketing Initiative led by SBS Associate Dean of Research and L’Oréal Professor of Marketing, Andrew… Read More »

Maybe you can’t machine learn everything – but does that mean you shouldn’t try?

July 10, 2017

  I just got back from the EAGE, the 79th annual European conference and exhibition for Geoscience and Engineering. But what I actually want to tell you about is what I did on the weekend before the conference started. A few of us from Teradata joined a slightly more recent tradition – the Subsurface Hackathon… Read More »

Deep Learning: New Kid on the Supervised Machine Learning Block

June 27, 2017

In the second instalment of this blog, we introduced machine learning as a subfield of artificial intelligence (AI) that is concerned with methods and algorithms that allow machines to improve themselves and to learn from the past. Machine learning is often concerned with making so-called “supervised predictions,” or learning from a training set of historical… Read More »

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 »