Cognitive Social Command Centre

TLDR The Emerging Technology team used Bluemix based runtimes, services and APIs to produce a Cognitive Social Command Centre (CSCC) that allowed Wimbledon’s editorial team to understand what was being said about Wimbledon and the other sport events happening over the Summer of 2016, enabling them to engage with tennis and general sports fans.   The 2016 Challenge Last year […]

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IBM Emerging Technologies UK WINS TechConnect 2016

This year IBM Emerging Technologies UK submitted 10 out of 86 entries for TechConnect. TechConnect is a Europe wide internal IBM annual competition for individuals showcasing their work to senior technical leaders and decision makers. This years winning entry, “Showcasing our academic research”, was one of the entries from the UK Emerging Technology Team. It is a web application which visualises a large data […]

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IBM and Stanford University team up for a new perspective on SETI signal analytics

Co-authors: Frank Fan, Kenny Smith, Jason Wang, Austin Hou, Rafael Setra, Qi Yang IBM and students from the Stanford University have teamed up to use IBM Spark services to analyze astronomical radio signal data for their projects in Mining Massive Data Sets. Using IBM’s Spark@SETI environment in the IBM Cloud, two different teams tackled the complex problem of signal feature extraction and classification using several terabytes of […]

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Using Remote Kernels with Jupyter Notebook Server

Jupyter Notebook uses kernels to execute code interactively. The Jupyter Notebook server runs kernels as separate processes on the same host by default. However, there are scenarios where it would be necessary or beneficial to have the Notebook server use kernels that run remotely. A good example is when you want to use notebooks to explore and analyze large data […]

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What Fuels Innovation?

For the past 20 years, the IBM jStart Team has combined its passion for innovation, deep skills, client focus, and delivery excellence to establish itself as the go-to team for emerging technology engagements. Starting with Java, the team has served as the ‘voice of the customer’ for many technology initiatives, providing references for use by IBM marketing, product requirements for use […]

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Network and Information Sciences International Technology Alliance

IBM Emerging Technologies and IBM Research led Consortium 2016 marks the tenth and final year for the Network and Information Sciences International Technology Alliance (NIS ITA) collaborative research programme. We recently showcased some of the key scientific achievements alongside great examples of the impact of our work at the UK Capstone Event.  This was held in the beautiful wood paneled Maxwell Library at IET […]

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A New Multiregion Demo

To accompany Lee Surprenant’s article Configure and run a multiregion Bluemix application with IBM Cloudant and Dyn and my last post on the bluemix-cloudant-replicator, Lee and I decided to create a better demo app to demonstrate Cloudant replication at work. This new app allows users to create and delete “Post Cards” across regions. For guidance on deploying the multiregion demo application watch the video […]

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Creating a Cloud Foundry plugin to automate Cloudant replication

In February, Lee Surprenant published Configure and run a multiregion Bluemix application with IBM Cloudant and Dyn. He explained how, when building robust cloud applications on Bluemix, one should consider a multiregion architecture. This allows developers to incorporate active failover and geographical load balancing into their applications. However, when working with multiregion applications, keeping dynamic content in sync across regions can be […]

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Strata Hadoop World Conference Update

Recently in the Strata Hadoop World Conference hosted last month in Singapore, Rod Smith, our VP of the Emerging Technologies, presented a keynote expanding on the newest driving business force: realtime digital business transformation. As businesses and customers demand quicker insights to recognize threats and opportunities for their businesses, the challenge for data scientists focuses on how to leverage historical […]

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Apache Spark – Processing Access Point Wi-Fi Data

A Closer Look Previously in Utilizing Access Point Wi-Fi Data, we had discussed several use cases a business manager could solve by leveraging WiFi data: Determining dwell times of unique customers in a store setting. Determining peak venue traffic hours. Determining missed customer engagement opportunities, e.g., someone just passing by a location/short dwell times. Determining what kinds of devices your clients […]

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