Using IBM Watson Analytics for Social Media
Tuesday, 4 October 2016 from 10:00 to 14:00 (BST)
San Francisco, California
London, United Kingdom
Love it or hate it, Twitter has often been equated to the world’s largest focus group. It is a fantastic source, but it’s not the only one. Social media represents the pulse of the planet, it can shape our ideas and identify new products and markets, help us identify opportunities for our businesses.
The trick is how to tap into that channel. IBM Watson Analytics for Social Media is a cloud-based smart data discovery service which puts advanced analytics, without complexity, right at your fingertips!
Sasha will provide hands on demonstrations of how to:
- get answers and new insights to inform business decisions
- create infographics
- based on feeds from publicly available social media content from Twitter, Facebook,
- feed in blogs, boards, news, reviews and video comments.
Timing and agenda
10.00 - 10.15 (15 mins) - Introduction to IBM Watson Analytics and IBM Watson Analytics for Social Media
10.15 - 11.15 (60 mins) – Live demonstration using Social Media feeds
11.15 - 11.30 (15 mins) - Break
11.30 - 12.30 (60 mins) – Live demonstrations comparing social media data with other relevant data such as corporate data, industry data, weather data and more.
12.30 - 12.45 (15 mins) - Summary, wrap up and Q&A
12.45 – Lunch and Networking
14.00 - Close
Sasha Maybury from IBM will lead this session with real life examples and hands-on demonstrations.
What is IBM Watson for Social Media?
IBM Watson Analytics for Social Media allows you to tap into the ability to access, understand, and learn from the highly valuable, unstructured information.Explore your social media data with the built in capabilities of IBM Watson Analytics and compliment your social media data with other relevant data such as corporate data, industry data, weather data etc. IBM Watson Analytics gives you new ways to find insights and opportunities so you can outthink limitations and redefine what is possible for you and your organization.
Key features are:
Data refinement that cleanses and helps you shape data with add-ons that convert and combine messy data from multiple files and formats to make your analysis more meaningful and relevant. Connectors to pull in external data, data stored in the cloud and internal enterprise data stores to enrich your analysis.
It provides guided exploration using natural language query that lets you engage with data in a human way to find new associations and insights.
Unique to Watson Analytics, you can understand outcomes using predictive analytics to automatically surface the variables driving business targets.
Compelling visualizations automatically created just for you in one click to help you make sense of data and tell more powerful stories and sharing and collaboration help to communicate insights with others and fast-track decision making.
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