IBM

IBM

Bio: IBM is a global technology and innovation company headquartered in Armonk, NY. It is the largest technology and consulting employer in the world, with more than 375,000 employees serving clients in 170 countries. Just completing its 22nd year of patent leadership, IBM Research has defined the future of information technology with more than 3,000 researchers in 12 labs located across six continents. Scientists from IBM Research have produced six Nobel Laureates, 10 U.S. National Medals of Technology, five U.S. National Medals of Science, six Turing Awards, 19 inductees in the National Academy of Sciences and 20 inductees into the U.S. National Inventors Hall of Fame. Today, IBM is much more than a “hardware, software, services” company. IBM is now emerging as a cognitive solutions and cloud platform company. Our work and our people can be found in all sorts of interesting places. IBMers are helping transform healthcare, improving the retail shopping experience, rerouting traffic jams and even designing the next generation fan experience in sports stadiums around the world. It's the kind of thing we've been doing for more than 100 years. This is IBM's official LinkedIn account and it follows IBM Social Computing Guidelines. We reserve the right to delete comments that are offensive or suggestive, personal attacks, anonymous, wildly off-topic, spam or advertisements. Specialties Cloud, Mobile, Cognitive, Security, Research, Watson, Analytics, Consulting, Commerce, Experience Design, Internet of Things, Technology support, Industry solutions, Systems services, IT iinfrastructure, Resiliency services, and Financing

Easy Access to All Points of Interest Data

Easy Access to All Points of Interest Data

Scraping OpenStreetMap and exploring POI in Cloudant and Jupyter Notebooks When working with data, the format of the raw data is not always user-friendly. For instance, the format could be one large binary file, or the data could spread across hundreds of text files. An easy way to solve this problem is to convert the […]

Predict Flight Delays with Apache Spark MLLib, FlightStats, and Weather Data

Predict Flight Delays with Apache Spark MLLib, FlightStats, and W...

Flight delays are an inconvenience. Wouldn’t it be great to predict how likely a flight is to be delayed? You could remove uncertainty and let travelers plan ahead. Usually, the weather is to blame for delays. So I’ve crafted an analytics solution based on weather data and past flight performance. This solution takes weather info […]