1. Articles from dzone.com

  2. 73-96 of 116 « 1 2 3 4 5 »
    1. 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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    2. 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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    3. 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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    4. 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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    5. 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
    6. 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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    7. 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
    8. 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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    9. 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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    10. 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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    11. 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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    12. 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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    13. 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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    14. 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
    15. 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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    16. 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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    17. 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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    18. 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
    19. 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
    20. 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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    21. 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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    73-96 of 116 « 1 2 3 4 5 »
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