1. Articles from dzone.com

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    1. Introduction to Cognitive Computing Big Data

      Introduction to Cognitive Computing Big Data

      Cognitive computing represents self-learning systems that utilize Machine Learning models to mimic the way brain works. Eventually, this technology will facilitate the creation of automated IT models which are capable of solving problems without human assistance. The result is cognitive computing — a combination of cognitive science and computer science. Cognitive computing models provide a realistic roadmap to achieve Artificial Intelligence. Cognition comes from the human brain.

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      Mentions: Google Big Data Siri
    2. Using AI to Spot Hate Speech Big Data

      Using AI to Spot Hate Speech Big Data

      A few years ago, researchers at the University of Sussex experimented with the use of AI and social media data to detect hate crime. The university joined a consortium with London’s police force, the Demos think tank, and software companies CASM Consulting and Palantir on the project. “There is a vast amount of data on social media sites and in police crime databases.

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    3. Facebook Messenger Bot Web Dev

      Facebook Messenger Bot Web Dev

      DZone's Guide to Facebook Messenger Bot Want to make an app that can tell what the weather is like anywhere in the world (or at least anywhere covered by Yahoo! 's API)? Then read on! by May. 18, 17 · Web Dev Zone Free Resource Join For Free Discover how to focus on operators for Reactive Programming and how they are essential to react to data in your application. Brought to you in partnership with Wakanda .

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    4. How Machine Learning Unlocks the Power of BI Big Data

      How Machine Learning Unlocks the Power of BI Big Data

      Machine Learning is the buzzword of the moment. In recent years, news stories raving about its possibilities have soared, Google searches for the term have quadrupled, and companies across the globe have been scrambling to figure out how to capitalize on the excitement by bringing it into their product mix. While that can be a great thing, claims made by some businesses about what Machine Learning can do are wildly exaggerated.

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      Mentions: Google
    5. Why Business Intelligence Needs Bots Big Data

      Why Business Intelligence Needs Bots Big Data

      “O Deep Thought computer,” he said, “the task we have designed you to perform is this: We want you to tell us….” he paused, “The Answer.”

      “The Answer?” said Deep Thought. “The Answer to what?”

      “Life!” urged Fook.

      “The Universe!” said Lunkwill.

      “Everything!” they said in chorus. Deep Thought paused for a moment’s reflection. “Tricky,” he said finally. “But can you do it?” Again, a significant pause.

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    6. How Blockchain and AI Can Defeat Fake News Big Data

      How Blockchain and AI Can Defeat Fake News Big Data

      Fake news is a term frequently used these days, especially related to the election of a certain U.S. president. Incorrect information on the web is nothing new, so what is all this new excitement about? The integration of social media into our lives is so deep, it has become the primary interface between ourselves and the (digital) world. They are the means for chatting with family and friends, reading the news, do shopping, and (soon) paying.

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    7. A Few Insights About Big Data Big Data

      A Few Insights About Big Data Big Data

      We hear about Big Data quite a lot, but many people are still not sure of what it really is. As I believe it’s extremely powerful, I thought I would write an article about it to provide a better overview and help you understand what we can do with Big Data. Like everything in the tech industry, it keeps evolving and changing almost every day. By changing it affects all that was born from Big Data, going from digital transformation to artificial intelligence, to IoT .

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    8. Relevant Search Leveraging Knowledge Graphs with Neo4j: Part 2 Integration

      Relevant Search Leveraging Knowledge Graphs with Neo4j: Part 2 Integration

      This article is a continuation from Part 1 . Infrastructure: A 10k-Foot View Considering the relevant search goals described earlier, the model of the knowledge graph designed for the specific use case, and the type and amount of data to be processed together with the related data flows and requirements in terms of textual search capabilities, we defined the following architecture described in high-level terms:

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    9. Relevant Search Leveraging Knowledge Graphs with Neo4j: Part 1 Integration

      Relevant Search Leveraging Knowledge Graphs with Neo4j: Part 1 Integration

      Learn how API management supports better integration in Achieving Enterprise Agility with Microservices and API Management , brought to you in partnership with 3scale Providing relevant information to the user performing search queries or navigating a site is always a complex task. It requires a huge set of data, a process of progressive improvements, and self-tuning parameters together with infrastructure that can support them.

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      Mentions: NLP API
    10. Executive Insights on the State of Big Data Big Data

      Executive Insights on the State of Big Data Big Data

      Executive Insights on the State of Big Data DZone's Guide to Executive Insights on the State of Big Data To gather insights on the state of Big Data today, we spoke with executives who are working with Big Data themselves or providing Big Data solutions to clients. by Apr. 30, 17 · Big Data Zone Free Resource Join For Free Need to build an application around your data? Learn more about dataflow programming for rapid development and greater creativity.

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      Mentions: Apple Google Big Data
    11. Open-Source Deep Learning Frameworks and Visual Analytics Big Data

      Open-Source Deep Learning Frameworks and Visual Analytics Big Data

      Join For Free Need to build an application around your data? Learn more about dataflow programming for rapid development and greater creativity. Deep Learning has been getting more and more traction. It focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game-changer in analytics, when to use Deep Learning, and how visual analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.

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      Mentions: Neural Network
    12. The Year of Data Breaches: Why Encryption and Reformatting SSDs Is Not Enough Security

      The Year of Data Breaches: Why Encryption and Reformatting SSDs Is Not Enough Security

      2016 was certainly an interesting year and, although we could probably discuss the election alone for an hour, there is one particular epidemic which has plagued the developer community in more ways than we probably care to mention. It seems as though even the best data encryption and reformatting of SSDs is slowly becoming not enough when it comes to the continuous evolution of the hacker community and this is a pretty unsettling situation.

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      Mentions: Yahoo Russia Samsung
    13. 6 Shades of Masking Your Data Database

      6 Shades of Masking Your Data Database

      Foundry is Redgate’s research and development division. We develop products and technologies for the Microsoft data platform. Each project progresses through Foundry’s four-stage product development process: Research, Concept, Prototype, and Beta. At each stage, the Foundry team is exploring the scope and potential for Redgate to develop a product. One of our projects, data masking , has seen us working to improve the management of sensitive data and synthesize more realistic data.

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      Mentions: Microsoft
    14. How Machine Learning and Data Can Improve Cancer Care Big Data

      How Machine Learning and Data Can Improve Cancer Care Big Data

      Over 1.5 million people are diagnosed with cancer each year in America alone. But despite these huge volumes, a tiny amount register for clinical trials. Indeed, research currently relies on data from just 3% of patients. MIT’s Regina Barzilay is hoping to rectify that. Via the MIT Stata Center, she leads a Machine Learning-based project that aims to derive insight from patient data.

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    15. Successful Big Data Application Development Big Data

      Successful Big Data Application Development Big Data

      I had a great discussion with Dave King, the founder and CEO of Exaptive, about the state of Big Data application development today. Q: What are the keys to Big Data application development? A: The first key is recognizing that we are now in an environment in which we think about data in applications rather than in reports and spreadsheets. How we work with data has emerged from the data report ethos.

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    16. Natural Language Processing Startups and Influencers to Know

      Natural Language Processing Startups and Influencers to Know

      Natural Language Processing Startups and Influencers to Know DZone's Guide to Natural Language Processing Startups and Influencers to Know Let’s tale a look at some Natural Language Processing startups and influencers that you may be interested in following if you work in the field of Big Data. by Apr. 15, 17 · Big Data Zone Free Resource Join For Free Need to build an application around your data? Learn more about dataflow programming for rapid development and greater creativity.

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    17. How Natural Language Processing Is Used Big Data

      How Natural Language Processing Is Used Big Data

      Natural Language Processing has become yet another buzzword in the past few years. But not everyone really understands what NLP is and how it can be used to improve efficiency. What Is Natural Language Processing? Let’s start with the basics. Natural Language Processing (NLP) is the ability of a computer program to understand human speech as if it were spoken. It is a component of Artificial Intelligence (AI), another big trend these days.

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    18. Get Ready to Take on 2017's Analytics Infrastructure Challenges Big Data

      Get Ready to Take on 2017's Analytics Infrastructure Challenges Big Data

      For many organizations, their ability to collect data has long surpassed their ability to organize it quickly enough for analysis. As companies of all sizes are increasingly pressured to leverage Big Data to power business intelligence , data engineers are going to be pushed — and pushed hard — to make sure that business intelligence is built on the strong foundation. Data analytics infrastructures need to become faster, smarter, and more robust than ever before.

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      Mentions: Big Data NLP IoT
    19. Need Billions of Web Pages? Don't bother Crawling. Web Dev

      How Big Did You Say? I am often contacted by prospective clients to help them crawl the web on a very large scale or find questions such as this one on StackOverflow . What people want to achieve with web data varies greatly from one case to the next: some need to extract specific data from as many pages as possible, some want to build search engines, while others wish to test the accuracy of a machine learning model on real data.

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    20. AI and Ingredients for Intelligence Big Data

      AI and Ingredients for Intelligence Big Data

      When I tell people that I work at an AI company, they often follow up with, “So, what kind of machine learning/deep learning do you do?” This isn’t surprising, as most of the market attention (and hype) in and around AI has been centered around machine learning and its high-profile subset deep learning and around natural language processing with the rise of the chatbot and virtual assistants .

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      Mentions: Google France Norvig
    21. Building Chatbots With API.AI and GRAKN.AI Big Data

      Building Chatbots With API.AI and GRAKN.AI Big Data

      How long do you spend browsing Netflix for something to watch? If you are anything like me, 80% of Saturday night is spent searching for a movie to watch… before deciding, once again, on reruns of your favorite sitcom, simply because you’re tired of searching. And what if you want to find things beyond what Netflix offers? You’d have to deal with IMDB or Rotten Tomatoes, which are just plain frustrating to search.

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    25-48 of 83 « 1 2 3 4 »
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