Posts Tagged ‘machine learning’

Chad Johnson’s recent observations on Google’s Cloud Vision API led us to start thinking of ways the image recognition software could be utilized within Adobe Experience Manager (AEM).  Automatic asset tagging immediately sprang to mind.  This solution reduces the burden on the end user in manually identifying and tagging the assets with relevant metadata.  Google’s […]

Coveo released version 4 of their Coveo for Sitecore product today and we’re all very excited about this new release. We’ve been very impressed with the Coveo product as it brings enterprise-grade search capabilities to Sitecore as well as provide a bevy of connectors to other platforms. With this new release, Coveo has made a […]

When Google released the Cloud Vision API last month I started to think of the interesting ways that artificially intelligent image recognition could be used.  One idea that jumped to mind was enhancing the ability to search for marketing images and stock photography in a digital asset management system. As much as companies encourage individuals to tag and annotate […]

  Royal Bank of Scotland (RBS), an organization whose brands provide financial products and services to personal and business customers in the UK and beyond, is putting artificial intelligence (AI) to work in its customer support department. 

March Madness is in full swing. Completing your bracket probably involved some tough decisions. Did you pick the favorites over the underdogs? Big schools vs. small? How about taking into account injuries or the age of the players? Evaluating enterprise search platforms can be complicated, too. There are numerous products in the marketplace with a range […]

Last week I was starting to design a new demonstration environment for our Search and Knowledge Discovery practice. It would simulate a search application for a high tech call center, searching across a customer support case repository. I was having difficultly coming up with a scenario that would be applicable to a wide audience and include all of the diverse features that I […]

Warning: The future of search is going to get very personal. Hold on to your tin foil hats. Let’s begin with a brief history of the search and knowledge discovery field. Search + Analytics In 1997, Google launched the Google.com search engine.  4.3 seconds later, Google started looking at everyone’s search queries.  Just kidding.  Sort of. […]

On a call with Microsoft this morning, they referenced this public case study. I thought it was a really nice example of using a multitude of Azure services to innovate their business – Machine Learning, Mobile Services, IoT Hubs, and Dynamics AX. Check out the video below and the full description here – https://customers.microsoft.com/Pages/CustomerStory.aspx?recid=12792

In previous posts I have discussed the algorithms and applications of machine learning. One of the most sophisticated forms of machine learning is building a neural network that mimics the flesh-and-blood brain – with software- or hardware-based versions of neurons and synapses. But silicon operates differently than the stuff in our brains. In the past, researchers have suspected an entirely […]

In last week’s article, What is Machine Learning?, I gave an overview of Machine Learning and provided a link to a very informative visual guide that describes how the technology works.  I also hinted at some useful applications within Enterprise Search.  I would like to cover a few of those that I have seen in recent months. […]

What is Machine Learning?  Well, I have a general idea of how to explain Machine Learning – it is the process of training a computer using historical data and decisions, such that the computer can then make its own decisions in the future using all new data that it has never seen before.  For example, machine […]

Last week, Google announced some astounding statistics about the success rate of their spam filtering technology in Google Mail.  Google says that less than 0.1% of email in the average user’s Gmail inbox is spam, and the rate for legitimate email ending up in the spam folder is even lower at less than %0.05. Despite these superb […]