Added by Raghavendra Singh on February 8, 2021 at 12:30am — No Comments
Summary: As advanced analytics and data science have matured into must-have skills, data science groups within large companies have themselves become much larger. This has led to some unique problems and solutions that you’ll want to consider as your own DS group grows larger.
It seems like only two or three…
ContinueAdded by William Vorhies on June 25, 2018 at 2:45pm — 5 Comments
Summary: The argument in the popular press about robots taking our jobs fails in the most fundamental way to differentiate between robots and AI. Here we try to identify how each contributes to job loss and what the future of AI Enhanced Robots means for employment.
There’s been a lot of contradictory opinion in the press…
ContinueAdded by William Vorhies on April 10, 2017 at 2:00pm — 1 Comment
Summary: IBM’s Watson now to do your taxes at H&R Block? This is a good opportunity to explore the differences between Question Answering Machines (Watson) and Expert Systems.
If you were paying attention during the Super Bowl you saw something unprecedented, an advertisement aimed at data scientists. OK, well almost. It was the…
Added by William Vorhies on March 7, 2017 at 9:19am — No Comments
Summary: Watson is a remarkably flexible and complete AI development platform. To understand how you might build new services for your current employer or imagine your own Watson-based startup, look at these 30 companies that are leading the way.
In our recent reviews of…
ContinueAdded by William Vorhies on November 21, 2016 at 10:22am — No Comments
Summary: IBM’s Watson as it exists today is as close as we’ve come to a single integrated platform for AI. It contains all the capabilities for image and video, natural language speech and text input and output, and the most comprehensive knowledge recovery module yet combined together. If you want to exploit the advances we’ve made in AI you need to understand where Watson is today and where it’s heading.
Recently we wrote about how the…
ContinueAdded by William Vorhies on November 15, 2016 at 8:47am — No Comments
Summary: Next time you bring up Artificial Intelligence and your non-data scientist friends all say “Watson” here’s some perspective you can offer. Their understanding of AI and Watson is very likely to be inaccurate. Here’s what you need to know to set them straight.
When conversation with my non-data scientist friends turns to AI it’s almost inevitable that at least one will remark on the wonders of Watson. To many of the uninformed, Watson is…
ContinueAdded by William Vorhies on November 8, 2016 at 7:30am — No Comments
Enterprise applications trending to adopt Machine Learning as their strategic implementation and performing machine learning deep analytics across multiple problem statements is becoming a common trend. There are variety of machine learning solutions / packages / platform that exist in market. One of the main challenges that the teams initially trying to resolve is to choose the correct platform / package for their solution.
Based on my limited…
ContinueAdded by Aravindakumar Venugopalan on October 5, 2016 at 5:00pm — 1 Comment
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