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 »

Why The CFO Cannot See The Value Of Data And Analytics In The Balance Sheet

June 26, 2017

What’s it worth? During a recent business-value consulting engagement with a global telecom company, the CEO told me he believed that the investments he was making in enterprise information assets were generating huge value. The only problem was he could see no evidence of it other than the retained revenue and revenue growth reported by… Read More »

Open Banking – For Whom?

June 23, 2017

If I wanted to explain the benefits of open banking to my teenage son, where would I begin? With the opening hours of our local branch? Or the 24/7 access he has on his mobile banking app? Unlikely – I can just imagine his response. No. I’d say something like “suppose our bank received information… Read More »

Big Data Brings Recruitment into the 21st Century

June 22, 2017

Until quite recently, recruitment methods and motivation were underdeveloped and carelessly implemented. A vague urge to stay clear of trouble and to make sure the company did the ‘right thing’ in terms of meeting targets, was inefficient and unproductive. Driven by emotion and historical best practice instead of using hard data and information, diversity initiatives… 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 »

The Outcome Economy, Powered by IoT

June 20, 2017

Twenty-five years ago, I was in business school when a professor gave us the assignment of forecasting the global demand for drill bits fifty years into the future.  My fellow students and I approached the problem in pretty much the same way, by making assumptions about how the world would be in that time, and… Read More »

Working in the New World of Data and Analytics

June 19, 2017

Many enterprises are struggling with the complexity of today’s big data and data science ecosystem, though they recognize the opportunity of emerging practices. As a result, the shortage of trained data and analytics specialists remains one of the biggest challenges for organizations across the board. Mikael Bisgaard-Bohr, VP Business Development International, Teradata, participates in this… Read More »

Team Effort Makes a Big Difference in the Community

June 16, 2017

Teradata Cares creates opportunities for employees to engage with their local communities in three key areas: *Improving education to help tomorrow’s technologists and business leaders understand the possibilities that technology provides *Strengthening neighborhoods and communities *Helping the environment and supporting corporate sustainability Local Community Cares Champions can be found all over the world. These individuals… Read More »

Doing Our Part to Close the Skills Gap

June 15, 2017

We hear it over and over again from our customers: “If you know of any good data scientists, send them our way!” Well, we do. Recently, Teradata University Network, our global academic outreach program, announced 17 finalists in the 4th annual, international big data talent competition. The contest, meant to advance the use of analytics in business… Read More »