Tag Archives: data science

Creativity and Critical Thinking in the Age of Enterprise AI

January 16, 2018

What, if anything, should worry us about artificial intelligence today? Is it the worry that it will take over jobs around the world? Most definitely not. The fact of the matter is that what AI has gotten very good at solving for certain problem sets, however it still lacks overall knowledge of context to the… Read More »

Uncovering analytic opportunities

January 9, 2018

It’s that time of year when people start considering new year’s resolutions, as well as thinking about what 2018 will have in store for their organisation. Towards the end of 2017, I had a series of discussions with customers to help them uncover analytic opportunities that will support them in achieving better business outcomes in… Read More »

Q&A with Sri Raghavan: The Future of AI for Enterprises

December 14, 2017

Sri Raghavan, senior global product marketing manager at Teradata, answered a few questions on algorithms, bias detection and the maturity of enterprises using AI. As data analytics progresses, do you think there will be significant progress in the sophistication of algorithms? It’s not so much that one algorithm is going to make a difference in… Read More »

Supervised learning in disguise: the truth about unsupervised learning

December 12, 2017

One of the first lessons you’ll receive in machine learning is that there are two broad categories: supervised and unsupervised learning. Supervised learning is usually explained as the one to which you provide the correct answers, training data, and the machine learns the patterns to apply to new data. Unsupervised learning is (apparently) where the… Read More »

Building Trust in AI: How to Get Buy in for the Black Box

November 21, 2017

Maybe it’s something innate to human nature, or maybe we’ve all seen one too many sci-fi movies (I’m looking at you Hal and 2001: A Space Odyssey), but people tend to view new technology skeptically. This is especially true when it comes to technology that makes recommendations or tells us how to do something. A… Read More »

The New Wave of Machine Learning

October 12, 2017

In the last few years, analytics has evolved significantly. We’ve moved from the adoption of big data technology that was all about Hadoop and Spark, to an increased focus on machine learning algorithms, deep learning and artificial intelligence (AI). In the last year alone, I’ve noted a renewed hype around machine learning, which together with the… Read More »

Is failure good for your data scientists?

September 25, 2017

If you’ve heard of data science (if you haven’t, where have you been and how did you find this blog?), you’ve probably heard of “fail fast”. The fail fast mentality is based on the notion that if an activity isn’t going to work, you should find out as quickly as possible, and stop doing it.… Read More »

Occam’s razor and machine learning

September 12, 2017

In the last instalment of this blog series, we discussed objectives and accuracy in machine learning. And we described two crucial tests for the utility of a machine learning model: The model must be sufficiently accurate and we must be able to deploy the model so that it can produce actionable outputs from the available… Read More »

Objectives and accuracy in machine learning

September 7, 2017

We get to go to a lot of conferences. And we’re always amazed at how many vendors and commentators stand up at events and trade shows and say things like, “The objective of analytics is to discover new insight about the business”. Let us be very clear. If the only thing that your analytic project… Read More »

Is analytics operations the key to successful data science?

September 1, 2017

Despite a continuing shortage of data science skills, data-driven teams do exist in businesses across many industries. Expectations are high and the promises of predictive analytics, prescriptive analytics and artificial intelligence (AI) has captured the imagination of many. Now that the role, the skill-sets and the responsibilities of data science are becoming better defined, how… Read More »