Tag Archives: data science

Why AnalyticOps Empowers Automation and AI

April 4, 2018

Companies using artificial intelligence (AI) techniques such as deep learning have learned these capabilities position them among the digital elites whose business models are powered by data. Left behind are the others who fail to leverage the analytical capability of AI and consequently miss out on opportunities to improve customer experience, achieve cost reduction, develop… Read More »

Let business teams ask “why?” to drive data science results with guided analytics

March 12, 2018

We’ve all heard the onslaught or experienced it first-hand. An inquisitive three-year old unleashing a salvo of, “Mommy, why is this?” “Daddy, why is that?” and “What is that thing?” My recent favorite twist to this line of inquiry happened when I overheard a brave and honest parent dare to admit, “I don’t know.” The… Read More »

Analytics at scale: what data analysts need to know

March 7, 2018

With every technology company shouting “Big Data”, we are led to think analytics challenges can be solved simply by storing a whole mess of data. With current technology, storing large volumes of data is easy. It also provides absolutely no value. Value only comes from data when it is examined, manipulated, learned from, and acted… Read More »

Spend more time on analytics and less on data prep

March 6, 2018

What are the things keeping analysts and data scientists from productivity?  According to studies, it’s wrangling data. Vast volumes of data need to be sourced, collected, organized and cleansed to be useful in solving problems.  In an article by Forbes, it is estimated that about 80 percent of the time spent working with data was… Read More »

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 »