Tag Archives: AI

Built like Blockchain? Creating a Foundation for Trusting AI Models

December 6, 2017

What is my AI model doing? That question is critically important to companies today — especially in heavily regulated industries. Banks need to clearly tell their customers and regulators why they blocked someone’s request for more credit or why a certain transaction triggered a fraud warning. But finding out the answer isn’t always immediately obvious.… Read More »

The 13 rules for measuring the Turing time of your AI

November 27, 2017

Last time we discussed how the Turing test, flawed as it is, still holds some relevance for AI development – especially when it comes to intelligent assistant applications. For more on that, read more here. However, consistently measuring the test is a methodological problem, as it focuses on psychological measurements. Because a human makes 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 »

Is the Turing test still relevant? How about Turing time?

November 14, 2017

If you’ve found your way to this blog, I have no doubt you’re aware of Alan Turing. In 1950, the father of modern computer science created a test designed to determine a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing described his test as “The Imitation Game”… Read More »

Building Deep Learning Machines: The Hardware Wars Defining the Future of AI

November 6, 2017

So often, conversations regarding deep learning are focused entirely on software and programming — who can train deep learning models to perform X use case better than anyone else? But developments on the hardware side of the equation reveal that there is more to advancing artificial intelligence. As conventional big data analytics emerged, the industry… Read More »

Accelerate your career in big data and analytics

November 1, 2017

The growth in popularity of data science as a subject, coupled with the global boom in data creation, and organisations looking to maximise information through big data strategies, means that more and more people are building a career in this space. However, given the embryonic nature of the category, many of those joining its ranks… Read More »

Lessons from the Sentient Enterprise: To Scale Your Analytics, “Merchandise” the Insights

October 30, 2017

“Lessons from the Sentient Enterprise” is a series of posts timed around the publication of “The Sentient Enterprise”, a new book on big data analytics by Oliver Ratzesberger and Mohan Sawhney. Each post in the series highlights a major theme covered in book and at executive workshops being held in conjunction with its upcoming release… Read More »

Fast Track Business Outcomes from Artificial Intelligence with Proven Methods and Accelerators

October 23, 2017

Deep learning, chat bots, smart machines, natural language processing, neural networks — these buzzwords continue to create much excitement, hype and urgency among business leaders, as they deliberate on how and when to invest in artificial intelligence (AI) to transform the way their companies can leverage data to improve business outcomes and gain competitive advantage.… Read More »

Survey: State of Artificial Intelligence for Enterprises

October 11, 2017

Artificial intelligence will have a profound impact on our lives and work. Soon it will be everywhere, from our homes to our cars to our offices. Many believe it will cause a massive displacement of jobs. Others argue that it will enhance our decision-making and make us smarter. But, what do business executives at some… Read More »