1. Articles from dzone.com

  2. 1-24 of 35 1 2 »
    1. Diving Into Natural Language Processing Big Data

      This is the third installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of Deep Learning. This week focuses on applying Deep Learning to Natural Language Processing. The last post was about reinforcement learning and the post before was on generative adversarial networks .

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    2. Why Natural Language Processing is the Future of Business Intelligence Big Data

      Why Natural Language Processing is the Future of Business Intelligence Big Data

      Every time you ask Siri for directions, a complex chain of cutting-edge code is activated. It allows "her" to understand your question, find the information you’re looking for, and respond to you in a language that you understand. This has only become possible in the last few years. Until now, we have been interacting with computers in a way that they understand, rather than us. We have learned their language. But now, they’re learning ours.

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    3. Online Support Evolves With Ai, Nlp, and Machine Learning Big Data

      Online Support Evolves With Ai, Nlp, and Machine Learning Big Data

      I had a great talk with Jordi Thomas, CEO of Inbenta — an Artificial Intelligence (AI) and natural language processing (NLP)-based self-service software that has been around for eight years to help improve the customer experience (CX) with customer support at large call centers. The perception of the call center has changed, as customers would prefer to find answers to their questions themselves. This is becoming easier as AI continues to develop and "learn."

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    4. How Education Will Be Transformed by AI in 2017

      How Education Will Be Transformed by AI in 2017

      Let's be friends: How Education Will Be Transformed by AI in 2017 80% of executives believe that AI will boost the productivity of an organization — and reasonably so. We should expect more schools to adopt AI technology this year. by Join For Free Learn how you can maximize big data in the cloud with Apache Hadoop. Download this eBook now. Brought to you in partnership with Hortonworks.

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    5. Applications With Deep Learning: Expectations vs. Reality Big Data

      Applications With Deep Learning: Expectations vs. Reality Big Data

      Abstract Nowadays, building applications involves many technologies. There are technologies to render user interfaces, to retrieve and store data, to serve many users, to distribute computing, etc. Increasingly, certain requirements imply the usage of neural networks. So what is the reality of building enterprise applications with the available state-of-the-art neural network technology? Expectations I am not a scientist.

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    6. How to Do iOS Localization on a Small Budget Mobile

      How to Do iOS Localization on a Small Budget Mobile

      With the world going app crazy and smartphone subscriptions on the rise, the time to localize your iOS app is now. But can you do it on a budget? Check out these 10 tips. This year, iOS localization will rise to the top of any product manager’s to-do list. Why? Because localizing your iOS app will allow your business to gain access to growing markets all over the world. From Asia, to South America, Eastern Europe, and Africa.

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      Mentions: Japan India Brazil
    7. Business Considerations for Website Localization Web Dev

      Business Considerations for Website Localization Web Dev

      Thanks to the Internet, businesses now have access to an almost unlimited market. With more than 3.5 billion Internet users every day, companies can find customers everywhere. CEOs from Bristol to Beijing are rubbing their hands with glee! And CMOs and product managers are tearing out their hair! Why? Because access to international customers may mean greater profits, but it’s also a lot more work.

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    8. Twelve Types of Artificial Intelligence Problems Big Data

      Twelve Types of Artificial Intelligence Problems Big Data

      In this article, I cover the 12 types of AI problems i.e. I address the question: in which scenarios should you use Artificial Intelligence (AI)? We cover this space in the Enterprise AI course . Some background: Recently, I conducted a strategy workshop for a group of senior executives running a large multinational corporation. In the workshop, one person asked the question: How many cats does it need to identify a Cat?

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    9. The AI Layer for the Enterprise and the Role of IoT IoT

      The AI Layer for the Enterprise and the Role of IoT IoT

      According to a prediction last year by Deloitte, by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated cognitive technologies into their products.” Gartner also predicts that 40 percent of the new investment made by enterprises will be in predictive analytics by 2020. AI is moving fast into the enterprise, and AI developments can create value.

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    10. The Benefits of Leveraging Unstructured Data in 2017 Big Data

      The Benefits of Leveraging Unstructured Data in 2017 Big Data

      Large companies and organizations are already using big data for some specialized applications, but the majority of big data is still structured data (transactions, clicks, etc.). In 2017 we will continue to see a large uptick in big data usage – but with a greater focus on leveraging unstructured data. Digital companies whose businesses rely on data have been leading the pack in how to gain beneficial insights from unstructured data.

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      Mentions: Digital Healthcare
    11. 9 Steps To Get Your Website Localization Started Web Dev

      9 Steps To Get Your Website Localization Started Web Dev

      Localizing your site into different languages is a huge task, but a very rewarding one. Check out how to get your website localization started with these nine steps! If you’re in the throes of rolling out your website to a global audience, you probably know a little (or a lot) about website localization; and if you’re tasked with the job of making your site more appealing to customers around the world, lucky you!

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      Mentions: China Google America
    12. Big Data Analytics: At the Tip of Your Tongue - DZone Big Data

      Big Data Analytics: At the Tip of Your Tongue - DZone Big Data

      Imagine reliably asking Amazon Alexa, Amazon Echo Dot, Google Home, or a chatbot to run analytics queries against a big data platform. For example, “What were the top three revenue generating products last week?” or better yet “Start my Spark cluster” — all without firing up your computer, scrolling through a report, looking through spreadsheet columns, or asking an analyst or a data admin. Big Data at the tip of your tongue — pun intended .

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    13. WhiteHat's 2017 Security Predictions Security

      WhiteHat's 2017 Security Predictions Security

      Each year, organizations from around the world start looking at the new year and try to make predictions on what will occur. The security industry is no different. Our WhiteHat team has gathered their thoughts on predictions for 2017 and new vulnerabilities or trends that might emerge in 2017. I hope you find their predictions a great way to kickstart 2017 planning and start implanting some thoughts on how to protect your applications in the coming years as threats continue to increase.

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    14. Platforms for Chatbots in a Post-App World Integration

      Platforms for Chatbots in a Post-App World Integration

      As the Internet moves towards a post-app world, a world where content is delivered via bots, many different types of content providers are rising to prominence. The most popular of these providers will be the basis for the continued growth of the post-app Internet, and as such it makes sense to get a feel for what capabilities are currently available for bot-writers looking to leverage one of the more popular sites to drive their efforts.

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      Mentions: API
    15. Rise In Cognitive Computing In 2017 Big Data

      Rise In Cognitive Computing In 2017 Big Data

      Cognitive computing, which aims to simulate human thought and reasoning, could be considered the ultimate goal of information technology and is set to begin a new era in 2017, according to Kinetica’s Eric Mizell, vice president, global solutions engineering. “The foundation for affordable cognitive computing already exists based on steady advances in CPU, memory, storage and networking technologies,” said Mizell.

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    16. A Look at Cognitive Services Cloud

      A Look at Cognitive Services Cloud

      Recently, I've come across some complicated articles with respect to Cognitive Services, but as I've been working on this service for the last eight months, I thought of writing a simple, step-by-step article about it. What Is Cognitive Services? As defined, Cognitive Services provides the best suite for having an interactive, automated model of an application. It helps to build powerful intelligence into applications to enable natural and contextual interactions.

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    17. For Machines, Analogies Are Just Math Big Data

      When we hear about machines getting “smarter,” learning to “understand” human language, it can seem like cause for concern. Will they understand everything we say? Will they be smarter than us? Will we lose control of them? We might feel we need to balance our desire for better apps (e.g. a better Siri) with concerns like this. This is not actually the case. When machines are “being smart” they are always just performing fancy math on large amounts of data to answer very specific questions.

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    18. Does Your Code Speak English?

      No. How? What for? No, it is not a common feature yet. There are no standard libraries for natural language processing. You won't get good answers to natural language questions with both search engines and virtual assistants (like Siri). If you intend to integrate them in your application, you can use API for Siri , Google Assistant , or Cortana .

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      Mentions: XML API Siri
    19. How Machine Learning and Adaptive Methods Are Revolutionizing Integration Integration

      For years, those of us in the technology sectors have been building integrations between disparate systems. In fact, enterprise organizations often have specific resources dedicated toward building and maintaining integrations between mission critical systems. According to dictionary.com, the word integrate is defined as a verb meaning "to bring together or incorporate (parts) into a whole."

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    20. The 5-Minute Interview: Christophe Willemsen, Senior Consultant at Graphaware Database

      For this week’s 5-Minute Interview, I chatted with Christophe Willemsen , Senior Neo4j Consultant at GraphAware in London. Christophe and I spoke at GraphConnect San Francisco last October. Here’s what we discussed:

      Talk to me about how you use Neo4j. I’m a Neo4j consultant at GraphAware, a Neo4j consulting company based in London. I’ve been working with the graph database for the last four years, and it has become more of a passion than a job.

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    21. Applying Deep Learning And Computer Vision on the Edge Gateway IoT

      Applying Deep Learning And Computer Vision on the Edge Gateway IoT

      The edge gateway is about providing real-time decision-making at the edge. In this article, I will talk about how to apply computer vision at the edge for various security and surveillance activities. For instance, you would like to detect suspicious activities at the ATM, simple cases like people wearing helmets and entering the ATM to unusual movements or would like to capture and identify objects in remote areas using drones — involving anything from crops to mining activities.

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      Mentions: Google API CNN
    22. The Changing Landscape: Data Science Trends Big Data

      Year after year, data science techniques mature and deliver outstanding results with successful implementations. 2016 ends with organizations embracing Big Data Analytics, Artificial Intelligence, and Data Science as key differentiators in their business processes. There have been various developments in the field of data science and related technologies. We saw growth in Data Scientists from all fields of profession and study.

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      Mentions: New York Google Yahoo
    1-24 of 35 1 2 »
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