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Cloud Machine Learning Wars: Amazon vs IBM Watson vs Microsoft Azure

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Amazon recently announced Amazon Machine Learning, a cloud machine learning solution for Amazon Web Services. Able to pull data effortlessly from RDS, S3 and Redshift, the product could pose a significant threat to Microsoft Azure ML and IBM Watson Analytics. Upon selecting a model, the service asks whether the user would like to holdout data for validation from the training set or to provide holdout data from a different source. Once these selections are made, Amazon ML trains the model on the given dataset. Using the sample dataset of dummy bank customers (5MB in size), training takes roughly 10 minutes. When evaluating the evaluation metric for a binary classification task, Amazon ML reports the area under the ROC curve (AUC).


IBM Watson: Artificial Intelligence as a Platform

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Looking at the performance of IBM shares over the past five years, it is clear that a change in strategy is needed. IBM's share price is down approximately 9% since 2011 compared to a 54% gain in the S&P 500. The goal of this article is to develop a strategy for IBM to leverage the power of IBM Watson artificial intelligence to stage a comeback. The proliferation of cloud, social and mobile technologies have led to the most successful and innovative companies becoming increasingly concerned with the ability to successfully build a digital platform. Apple, Google, Facebook and Amazon each created platforms that co-create value by connecting to other business who can build products and services on their platforms.


The road to tech evangelism - IBM Watson

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When you think about it, the tech world has a lot in common with old-time religion. There are impassioned camps -- think Android vs. iOS or Mac vs. Windows -- devoted to a particular software or hardware platform. And tech conferences that attract the faithful often embrace the fevered intensity of a tent revival. This isn't a bad thing, of course, as a little enthusiasm never hurt anybody. And it makes sense that major companies, including IBM, hire charismatic, persuasive individuals as evangelists to spread the word about their products and services.


Opentopic is using Taxonomy and News APIs to solve the digital marketing problem - IBM Watson

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Every 60 seconds, Facebook users share 2,460,000 pieces of content and Yelp receives 26,380 reviews. Then there's the 2 million blog posts created each day and the 1 billion websites available for us to peruse. With all of this content floating around the internet, marketers struggle to truly engage and convert an increasingly fragmented online audience. Using Watson services, Opentopic helps clients solve that problem in a 2-step process. First, they help the client discover and analyze target audiences.


Watch IBM's Watson-powered robot bust a move -- and sing

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IBM's Watson just gave doing the robot a whole new twist. While dancing has never been a forte of machines, IBM's artificial intelligence system is proving that robots really can have fun (even if it has to be programmed in). In a demo presented during Nvidia's GTU technology conference, IBM Watson's chief technology officer, Rob High, showed off a concierge robot named Watson Nao, whose many talents include singing and dancing -- all in an attempt to humanize these humanoids. The multi-lingual robot is powered by IBM Watson, and the AI has come a long way since winning Jeopardy back in 2011. Now, Watson is on a mission to show that it's more than just a super impressive brain -- it's kinda like you and me, too!


Creating an Intelligent Search Engine with Big Data - White Paper

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As data grows, organizations are increasingly seeking for an intelligent information discovery and analytics platform that goes beyond keyword searches and better understands users' intent. With Google Now and Cortana, advanced question answering systems are starting to become ubiquitous. Recently, Gartner has also started discussing'insight engines,' a new technology that can provide natural, total, and proactive search, analytics, and discovery. Please let us know the email address we should be sending a PDF copy of the white paper to. A download link will be immediately emailed to you - please check your junk mail if you have a strong email filter.


IBM Watson wants to understand why Italians live so long (Wired UK)

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WIRED Health 2016 takes place on 29 April in London. IBM's Watson supercomputer is perhaps best known for winning the gameshow Jeopardy, but its expertise is now being applied to healthcare Kyu Rhee will be speaking at WIRED Health 2016 on 29 April in London. From helping humans live longer to understanding the brain, WIRED Health will hear from the innovators transforming this critical sector. You might know IBM's Watson best for its victory on US game show Jeopardy!, or perhaps for its cookery prowess, or even the campaign to elect it to the US presidency. But IBM hopes that its supercomputer can also change the way doctors diagnose their patients, putting vast quantities of data at a physician's fingertips.


IBM Watson wants to understand why Italians live so long (Wired UK)

#artificialintelligence

WIRED Health 2016 takes place on 29 April in London. IBM's Watson supercomputer is perhaps best known for winning the gameshow Jeopardy, but its expertise is now being applied to healthcare Kyu Rhee will be speaking at WIRED Health 2016 on 29 April in London. From helping humans live longer to understanding the brain, WIRED Health will hear from the innovators transforming this critical sector. You might know IBM's Watson best for its victory on US game show Jeopardy!, or perhaps for its cookery prowess, or even the campaign to elect it to the US presidency. But IBM hopes that its supercomputer can also change the way doctors diagnose their patients, putting vast quantities of data at a physician's fingertips.


Review: IBM Watson lowers the bar to machine learning

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The IBM Watson AI system drew the world's attention by winning at "Jeopardy" in February 2011 against two of the game's all-time champions, and IBM has strived to apply the Watson system to more interesting problems than a trivia quiz ever since. IBM has also extended Watson's capabilities to developers, data scientists, and even ordinary business users. Along with IBM's SPSS predictive analytics software, Watson forms the foundation of IBM's cloud offerings in machine learning and advanced analytics. IBM breaks the Watson system into five parts: machine learning, question analysis, natural language processing, feature engineering, and ontology analysis. From these parts, IBM has built out a suite of composable cloud services from which you can make your own mini-Watson for a solution to your problem.