Tag: Products (11)

• 3 Stages of Creating Smart - Oct 4, 2018.
  
  The technology is advancing at a pace that should enable any company to create “smart” products, things and spaces. But how does one go about actually creating smart?

  Tags: IoT, Products, Smart Data

• Key Takeaways from KDD 2018: a Deconfounder, Machine Learning at Pinterest, Knowledge Graph - Sep 11, 2018.
  
  Highlights and key takeaways from KDD 2018, 24th ACM SIGKDD conference on Data Science and Data Mining: including what is a deconfounder, how Pinterest approaches Machine Learning, Knowledge Graph for Products, and Differential Privacy.

  Tags: Amazon, Causation, Highlights, KDD-2018, Knowledge Graph, London, Machine Learning, Pinterest, Privacy, Products

• Iterate Your Way to a Top Analytics Product Experience, Aug 7 webinar - Jul 25, 2018.
  
  Learn how Mark43 researched, prototyped, and iterated to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies.

  Tags: Analytics, Business Intelligence, Looker, Police, Products

• Products for Product People: Best Practices in Analytics, July 24 Webinar - Jul 19, 2018.
  
  Learn product analytics best practices and the "meta" perspective from a practitioner who is building products that anybody, including product managers, can use to access, analyze, and act on data to make important decisions.

  Tags: Analytics, Best Practices, Industry, Looker, Products

• What is Minimum Viable (Data) Product? - Jul 12, 2018.
  
  This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating.

  Tags: AirBnB, Data, Machine Learning, Products

• How to build analytic products in an age of data privacy - May 17, 2018.
  
  Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.

  Tags: Analytics, Ben Lorica, Differential Privacy, GDPR, Privacy, Products, Strata

• Why Data Scientists Must Focus on Developing Product Sense - Apr 6, 2018.
  
  Data Scientists should focus on developing product sense to move fast and systematically, create models that are relevant and to able to know when to stop.

  Tags: Advice, Career, Data Scientist, Products

• Apple: Manager, Data Science – Apple Media Products Commerce Engineering - Oct 23, 2017.
  
  Seeking a Manager, Data Science to build our data science and machine learning team and develop a long-term roadmap where modeling will have a huge material impact in savings in financial cost while maintaining the Apple brand of trust, using cutting edge technology.

  Tags: Apple, CA, Cupertino, Data Scientist, Manager, Media, Products

• Valuable Data Products: Answers to Career Questions and More - Oct 21, 2016.
  
  Collecting high quality data from various resources and turning it into data products is one of the ways to monetize data in today’s digital economy. Lets take a deeper look into it.

  Tags: Big Data Software, Education, LinkedIn, Monetizing, Products

• DataRPM: Building Data Products For Recommendations And Predictions, Webinar, Feb 18 - Feb 16, 2016.
  
  Learn how to build data products for recommendations and predictions quickly and easily using DataRPM; Why productizing data can transform your organization.

  Tags: DataRPM, Products, Recommendation Engine

• How Data Science makes Better Products - May 1, 2015.
  
  This video defines adaptive software, shows how data science realizes these applications, and discusses how these new tools are addressing real world challenges across all industries.

  Tags: Data Science, Products, Sean McClure