SmartDataCollective

  • AI Tools to Help You with Your Online Advertising Spend
      Marketing your business online is a costly business. Gone are the days where you could rely on organic reach. You have to pay to play the game. But getting your online advertising spend wrong could cost you a lot of money for little gain. There ar…
    - 1 day ago 21 Apr 18, 8:21pm -
  • Tapping AI to Counter Rising Ransomware Threat in Big Data Era
    As cyber-attack outbreaks go, WannaCry didn’t really last that long from the time the first infection was discovered on the morning of May 12 until the kill switch was released by Microsoft three days later. In that short span, however, the damage…
    - 3 days ago 20 Apr 18, 6:28pm -
  • Analytics For Gmail Are Now Possible – For You, or Your Employees
    Have you ever wondered what your email productivity is really like? Or have you wondered how much time your employees are wasting on fielding poorly written emails, or sending messages that aren’t necessary? There’s a new analytics tool for Gmail…
    - 5 days ago 18 Apr 18, 1:56pm -
  • Understanding the Role of Big Data in the Lending Industry
    For lenders and financial institutions, accuracy and predictability are key drivers of success. Being able to predict when a borrower will repay a loan or when it’s likely to be sent to a collector can mean the difference between running a profitab…
    - 5 days ago 18 Apr 18, 11:31am -
  • Why the Future of Social Media Will Depend on Artificial Intelligence
    With an estimated 2.77 billion social network users around the globe, social networking platforms possess an unimaginable amount of data. The reach of social networks is expanding at an alarming rate around the globe in 2019. These figures will conti…
    - 10 days ago 13 Apr 18, 3:43pm -

AirBnB - Nerds

  • Listing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search
    Authors: Mihajlo Grbovic, Haibin Cheng, Qing Zhang, Lynn Yang, Phillippe Siclait and Matt JonesIntroductionAirbnb’s marketplace contains millions of diverse listings which potential guests explore through search results generated from a sophistica…
    - 24 days ago 30 Mar 18, 6:38pm -
  • Fighting Financial Fraud with Targeted Friction
    How Airbnb Battles Chargebacks while Minimizing Impact to Good GuestsOn any given night, nearly two million people are staying in Airbnb listings in 191 countries around the world. The rapid growth of our global community is predicated on one thing:…
    - 75 days ago 7 Feb 18, 5:38pm -
  • Contextual Calendar Reminder: Key to Successful Hosting
    By Tao Cui and Yuting GuMotivationAirbnb’s mission is to create a world where anyone can belong anywhere. So when hosts forget to update their calendars and are booked by guests on dates that don’t work, the host has to cancel the reservation. T…
    - 82 days ago 30 Jan 18, 8:52pm -
  • Measuring Transactional Integrity in Airbnb’s Distributed Payment Ecosystem
    By Ninad Khisti & William BetzIn a distributed payment ecosystem, it is critical to accurately measure and track a transaction’s end to end state and contents to ensure consistency throughout the payment cycle. Without robust tracking, data leakag…
    - 96 days ago 17 Jan 18, 1:15am -
  • Server Rendering, Code Splitting, and Lazy Loading with React Router v4
    Photo by Matt Duncan on Unsplash“Godspeed those who attempt the server-rendered, code-split apps.” — Ryan Florence, Co-Creator of React RouterChallenge accepted.Some Background on Server Rendering at AirbnbHistorically, Airbnb has been a…
    - 9 Jan 18, 9:51pm -

Data Center Knowledge

The Unofficial Google Data Science Blog

  • Compliance bias in mobile experiments
    by DANIEL PERCIVALRandomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don't immediately uptake the new experimental version? What if their uptake rate is not uniform? We'd like to be able to…
    - 32 days ago 22 Mar 18, 4:32pm -
  • Designing A/B tests in a collaboration network
    by SANGHO YOONIn this article, we discuss an approach to the design of experiments in a network. In particular, we describe a method to prevent potential contamination (or inconsistent treatment exposure) of samples due to network effects. We present…
    - 96 days ago 17 Jan 18, 2:04am -
  • Unintentional data
    by ERIC HOLLINGSWORTHA large part of the data we data scientists are asked to analyze was not collected with any specific analysis in mind, or perhaps any particular purpose at all. This post describes the analytical issues which arise in such a sett…
    - 13 Oct 17, 1:26am -
  • Fitting Bayesian structural time series with the bsts R package
    by STEVEN L. SCOTTTime series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time ser…
    - 11 Jul 17, 8:55pm -
  • Our quest for robust time series forecasting at scale
    by ERIC TASSONE, FARZAN ROHANIWe were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. In this post, we recount how…
    - 18 Apr 17, 12:02am -

IBM BigData and Analytics Hub

  • Making Data Simple: Tanmay Bakshi Podcast
    Gain a fresh perspective on data and AI in the healthcare industry from Tanmay Bakshi. Recorded live at the IBM Toronto Lab in Canada, Bakshi and host Al Martin discuss the impact of data in healthcare, including mental health for youth and helping p…
    - 3 days ago 20 Apr 18, 10:56am -
  • Thoughts on AI: How bias can shape data insights – and how to conquer it
    Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
    - 12 days ago 11 Apr 18, 6:28pm -
  • Continuous data for continuous testing
    Most organizations are moving software development methods to newer agile methods to benefit from better technology capabilities, delivered more rapidly and with improved quality. But, finding the "right data" for agile development and continuous tes…
    - 12 days ago 11 Apr 18, 3:16pm -
  • Making Data Simple: Data in the Retail Industry - Part Two
    In part two of our discussion about data in the retail industry, we continue to explore how the massive disruption in retail industry over the past several years. Data, machine learning and AI are set to change the industry yet again. Join Patrick Pi…
    - 12 days ago 11 Apr 18, 11:59am -
  • Why next-generation execs should care about data governance
    There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance w…
    - 14 days ago 9 Apr 18, 5:28pm -

Predictive Analytics