Home > Uncategorized > Weekly QuEST Discussion Topics, 8 May

Weekly QuEST Discussion Topics, 8 May

8 May 2015 QuEST meeting:

The Capt Amerika would like to flip through some more information from a recent review of technology trends for discussions from WEBBMEDIA group 2015 trend report – (provided to us by our colleague Andres R.) although the topics themselves are of general interest one of the discussion points we would like to emphasize is relationship of these trends to QuEST. For example:

The next example from the technology trends document:


Second year on the list

2015 Tech Trends | webbmediagroup.com | © 2014 Webbmedia Group

Key Insight

SVPAs made our list last year because they were just beginning to enter the market as stand-alone mobile apps. (Others call this technology “predictive applications” or “predictive intelligence.”) They used semantic and natural language processing, mined data from our calendars, email and contact lists and used the last few minutes of our behavior to anticipate the next 10 seconds of our thinking in order to help consumers manage daily tasks, finances, diet and more. In 2015, we will see SVPA technology become a key part of emerging platforms and devices.

One company on our 2013 trends list, Expect Labs, has just transitioned its beta MindMeld app into an intelligent SVPA interface for any app, device or website to use. – the lessons/approach provides insight to our recent attempt to work speech recognition into some of our environments to help analysts

A couple of other examples are worth looking at for guidance into our interest in providing decision aides – Cue, Emu, Donna


Third year on the list

Key Insight

This trend evolved from a key idea in our trend 2013 report: anticipatory computing. Cognitive computing systems use natural language processing and artificial intelligence in order to understand our intentions.


In his seminal 1950 paper, computer scientist Alan Turing asked “Can machines think?” Ac­cording to IBM, the answer is yes. And pret­ty soon, faster than humans. IBM’s cognitive computing platform Watson is best known for eviscerating the reigning human Jeop­ardy champions in 2011. Prepare to hear a lot about Watson in 2015. IBM hasn’t built a clev­er computer gimmick, it’s built a revolutionary cognitive computing platform capable of learning, adapting and proposing solutions to ex­tremely difficult problems. Hos­pitals are using Watson to advise on seemingly impossible cases. Watson will be built into custom­er service workflows, to learn about our individual needs and respond with exactly the right in­formation when we need it.

We’ve previously in the QuEST meetings reviewed Watson but it is worth the bandwidth to return to how was Watson engineered – it provides a great case study and possibly some general rules that QuEST should keep in mind.


The 2010 Fall Issue of AI Magazine includes an article on “Building Watson: An Overview of the DeepQA Project,” written by the IBM Watson Research Team, led by David Ferucci. Read about this exciting project in the most detailed technical article available.

What’s Next

IBM is now developing advanced data-cen­tric supercomputing systems that will embed compute power everywhere data resides in a system, which means a convergence of analytics, modeling, visualization, and simu­lation, and driving new insights at very fast speeds1. In 2014, it announced the SyNapse chip, which processes information using a network of more than one million “neurons” that communicate via a system of electrical spikes. In other words, just like our brains. New Research shows robots transitioning from basic computational or productivity assistants to machines capable of creating unique forms of music or even evolving an entirely new language. We expect to see Watson’s cognitive computing power contin­uing to inspire developers and data scientists alike, who will begin to adapt this technol­ogy in a wide variety of ways in 2015. One possibility: Watson could be a boon for those working with difficult customers who can list the many, many things they dislike but can never articulate exactly what they do want

We’ve kept up with the SyNapse work with our Roman colleagues – but I also wanted to review a recent article on the HP effort to redefine computing – their big bet –

Machine Dreams

To rescue its struggling business, Hewlett-Packard is making a long-shot bid to change the fundamentals of how computers work.

The performance of computers, especially those that handle huge amounts of data, is limited by designs that date back decades

We will then flip through the other topics in the Tech Trends report – for SA – to see if there are other threads people would like to run to ground –

The next topic is a sequence of articles/reports / books on ‘A Theory of Story’ – the interest here goes back to our interest in narratives – narratives provides a means to situate – the information I would like to look at comes from Phillips and Huntley – Dramatica

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