Introducing the IBM Twitter Data Innovators Project

The ability to combine Twitter data with IBM's analytical firepower is inspiring the discovery of unexpected insights across industries around the globe. The IBM Twitter Data Innovators Project is a collection of narratives showcasing IBM developers, researchers and technologists working with Twitter data to uncover unknown and unexpected insights to solve business and societal challenges. IBM Twitter Data Innovators have deep expertise in applying Twitter data to a wide range of use cases, click below to read about their projects.

Jesse Chen

Jesse is leveraging the Apache Spark platform and IBM's strategic relationship with Twitter to automate reviews for tonality across millions of tweets with the "AskSpark" opinion search tool to examine, and ultimately predict, how those conversations can influence the financial health and future of a company or even a political campaign.

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Vinith Misra

Vinith is leveraging IBM’s strategic relationship with Twitter through his work on Watson Personality Insights, which uses linguistic analytics to infer a person’s cognitive and social characteristics, and Watson Concepts, which maps words used in tweets to the underlying concepts of those words. Together, these services, available on Bluemix, help marketers engage users on their own terms.

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Kavita Chavda

Kavita leverages Twitter and IT Operation analytics to figure out how IT operations teams can work better. For the CIOs of large financial services or Telecom companies, Kavita gathered thousands of tweets plus performance data, tickets and machine logs and then turned to Watson to correlate what clients are saying with critical business systems that power businesses and drive revenues.

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Trevor Davis

Trevor is examining the wealth of data provided by Twitter conversations about material science, 3D printing and unlikely partnerships formed with consumer-goods makers to identify industry trends.

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Chelsea Farnham

Chelsea is using IBM Voices to cut through Twitter content to round up trends among IBM employees and industry trade shows.

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Elizabeth Daly

Elizabeth is using Twitter data for social good, helping drivers avoid major traffic jams or discovering an elderly person who might need help.

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Jennifer Lai

Jennifer is leveraging the Twitter Command Central to identify social trends. By using machine learning techniques she can categorize data and help Red Cross workers.

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Steve Welch

When an oil and gas company asked Steve and his team to help figure out what Twitter campaigns are working and who the Twitter influencers are, they developed a cognitive system that identified effective language, influencers, and topic-based sentiment. Communications professionals can now access this system in beta on Watson Developer Cloud.

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Michael Madarasz

Mike is taking a deep look at Twitter data in order to understand how voters in the 2016 Presidential Election cycle view and process messages from the candidates.These insights from Mike and his team are helping media companies assist political campaign managers maximize their dollar spend, outreach efforts, and objectives, drive more effective and targeted messaging -- with an end goal of reaching more voters with the content they want to make an informed decision.

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Stefan Woerner, Jens Barthelmes and Jochen Stark

Stefan, Jens, and Jochen developed an index that calculates a company’s reputation as a prototype for an insurance company to use in deciding how much to charge a company for corporate reputation and crisis insurance.

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Business decision making will never be the same

IBM is moving Twitter data beyond social listening to drive actionable insights that yield business results. IBM Insight Cloud Services is fueling a portfolio of analytics solutions with Twitter data and social insights for developers, data scientists and business professionals.


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