Remove 2003 Remove Interactive Remove Statistics
article thumbnail

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Flight delay data analysis.

article thumbnail

Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

In 2003, a development that triggered the revolution of data happened when CDW partnered with PGA Tour with a ball-tracking system that is more advanced, known as ShotLink. Data systems also give golfers a clear understanding of the interaction between players and various features of the golf course. Final Thoughts.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

article thumbnail

Be honest: Are your company values and AI aligned?

CIO Business Intelligence

In 2003, Oxford University professor Nick Bostrom asked what happens if you ask a smart AI to make as many paperclips as possible. Whose interests is the chatbot putting first: the customer they’re interacting with or the company deploying the chatbot? It’s just math and statistics.” But there’s also a question of core values.

Risk 130
article thumbnail

Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

4: Interactivity With Insightful End-Points. Strategy 4: Interactivity With Insightful End-Points. In a business context when you are working with interactive data visualizations, ask this very valuable question: In a sea of data, whose job is it to include a logical end-point with an insight of value? 2: If Complex, Focus!