A Data Scientist’s Take on Cognitive Computing (and more…)

Posted by:

Join the upcoming Leaders in Cognitive webinar, Wednesday 10/11/17 at 12:00 pm Eastern to meet Wayne Thompson, Chief Data Scientist at SAS Institute.

Wayne will tackle the confusing deep water we find ourselves in trying to navigate the proliferation of hype related to “AI” terms like weak and strong AI, cognitive computing, machine learning, and particularly deep learning. Would you know AI if you met up with it on the street? You should after you’ve heard Wayne’s perspective.

To get a sample ...

Continue Reading →
0

AI and the Costs of Late Adoption

Posted by:

The McKinsey Global Institute has released an 80-page “discussion paper” entitled Artificial Intelligence: The Next Digital Frontier?

 Needless to say, the question posited in the title is a straw man, as the research results indicate clearly both the current rush toward AI-powered innovations and the business advantages early adopters are experiencing. The report is appropriately wide-ranging, covering the dynamics of profit gains for early-mover enterprises, estimating “windows of opportunity” in the market and the capabilities required to seize them, and, not ...

Continue Reading →
0

McKinsey on the State of AI and the Costs of Late Adoption

Posted by:

The McKinsey Global Institute has released an 80-page “discussion paper” entitled Artificial Intelligence: The Next Digital Frontier?

Needless to say, the question posited in the title is a straw man, as the research results indicate clearly both the current rush toward AI-powered innovations and the business advantages many early adopters are experiencing. The report is appropriately wide-ranging, covering profit-boosting for enterprises, estimating “windows of opportunity” in the market and the capabilities required to seize them, and, not least, considerations of re-skilling ...

Continue Reading →
0

AI: the new Electricity?

Posted by:

Andrew Ng, formerly AI lead at Baidu, now adjunct professor at Stanford offers a concise, 3-minute overview of his views of “AI as the New Electricity.” He combines a bit of history with some interesting rules of thumb on what currently-human tasks will be AI-able and with a projection of which fields will be first to broadly adopt AI approaches.

Listen to Prof. Ng’s assessment of the progress of the AI market at WSJ Video: http://www.wsj.com/video/andrew-ng-ai-is-the-new-electricity/56CF4056-4324-4AD2-AD2C-93CD5D32610A.html

 

Continue Reading →
0

Using AI In An Uncertain World

Posted by:

Like anything else in life except death and taxes (and even the particulars of these are uncertain), uncertainty is something that humans deal with every day. From relying on the weather report for umbrella advice to getting to work on time, every day actions are fraught with uncertainty and we all have learned how to navigate an unpredictable world. As AI becomes widely deployed, it simply adds a new dimension of unpredictability. Perhaps, however, instead of trying to stuff the ...

Continue Reading →
0

Research Program on Standard Reference Framework for Cognitive Computing Applications

Posted by:

The Cognitive Computing Consortium and Babson College’s Division of Technology, Operations, and Information Management have launched a joint research program focused on establishing a standard reference framework for describing cognitive computing applications. The program is led by Professor Ganesan Shankar of Babson College and Susan Feldman of the Cognitive Computing Consortium.

The research is based on an ongoing series of structured interviews with organizations who have created and deployed applications of cognitive computing technologies to one or more use cases within ...

Continue Reading →
0

Considering Bias & Cognitive Systems

Posted by:

When we examine the differences between humans and cognitive systems, we often point to lack of bias in automated systems vs. the unavoidable biases that humans bring to making judgments. But is that really true? The fact is that every time we select a training set, write an algorithm or design a ranking scheme, we are building in our biases of how the world is ordered, and what is more or less important in any category. We build in relationships ...

Continue Reading →
0

SOLR, Bloomberg, Open Source ML Enhancements for Search

Posted by:

Bloomberg is open sourcing a machine learning-driven ranking plug-in for SOLR, the widely used open source search system.

This is one natural opportunity, among several others, for search facilities to get smarter and more user- or domain-sensitive compared to any standard, off-the-shelf relevance algorithm approach.

While this is still a long way from cognitive computing, it does illustrate how companies with technical know-how, in this case financial publisher Bloomberg, are beginning to lay the groundwork for tomorrow’s more fully dynamic discovery environments.

Read ...

Continue Reading →
0

Cognitive Liability?

Posted by:

Tesla paid a high price in May, 2016, when a complex of issues involving its autopilot and vision functions—as well as driver overconfidence—caused the crash a Florida that killed one of its enthusiastic supporters and brought to the forefront the risk involved in operating a supposedly autonomous driving system that turns out not to be.

Beyond the obvious risk to life and limb, there lurks another unresolved issue that could turn out to be an equally important factor to the success ...

Continue Reading →
0

2016 – Roundups on AI/Cognitive Computing

Posted by:

As the days finally start to get longer and the year comes to a close, the trade press, and even the broader media, have a hard time resisting the urge to sum up what’s gone on in the past twelve months, and sometimes to look ahead.

For AI and Cognitive Computing, 2016 proved to be a breakout year in a number of ways, and we offer here links to three different and interesting perspectives.

In Software Development Times, Christina Cardoza enumerates the ...

Continue Reading →
0
Page 1 of 13 12345...»