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This page lists edge analytics samples, to help you get started moving analytics to the edge
Objective Identify the target audience for TV Advertising Viewership ratings of programs and Ads for dissected target audience Quantify the impact of TV and digital exposure on consumer behavior Cross platform measurement of Media consumption to determine Reach, Frequency and key performance indicators Insights Audience Intelligence Aggregated viewership measures, reach, historical trends & projections for program and commercial ratings Integrate with TP and FP audience intelligence and behavioral data Profile and segment households into demographic, interest-based, retail and lifestyle categories Audience Targeting Identify households that meet the target criteria Enable geographic, demographic & behavioural addressability of TV advertising Reduce wasted impressions to lower the cost of impact Spot Recommendations Generate spot recommendations against qualified potential customers using predictive analytics Viewership Forecasting Forecast future viewership using regression techniques Project forecasting ratings to universal audience Typical Metrics & reports Program Rating - Audience that viewed the program as a percent of the audience population
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How to manage data in motion for your streaming applications? In this session, we will review an end-to-end example running on the new IBM Db2 Event Store. Combining multiple open source services: Kakfa, Spark or Grafana, we will see how IBM Db2 Event Store provides a complete toolchain for Java...
One approach has been to have a number of ingest applications to bring data into Streams and a number of egress applications to send analytic results to external systems such as databases, dashboards, text messages etc. Connecting these ingest and egress applications are analytic applications that dynamically connect to one or more streams provided by ingest applications, analyze the data in real time and then produce streams that are in turn consumed by one or more egress applications
The second annual IBM Analytics University 2018 is happening again this fall in two new, exciting locations. Join us to get the latest information on current offerings, new releases, and the future direction of the IBM Analytics portfolio, including IBM Cognos Analytics, IBM Planning Analytics, IBM Data Science Experience, IBM InfoSphere Information Server, IBM Db2, and more. Whether you’re an executive, a business user, a data scientist, a technical expert, a new customer, a seasoned pro, or still deciding which analytics path to take, there’s a place for you at the IBM Analytics University 2018
Mon September 17, 2018 04:00 PM - Thu September 20, 2018 11:00 AM SE Stockholm
IBM Analytics won four design awards in 2017 and 2018 with Watson Studio (formerly IBM Data Science Experience), SPSS Statistics and IBM Master Data Management Express. Don't miss the blog article on IBM Big Data & Analytics Hub: At IBM Analytics, good design is not just good business Link: https://www.ibmbigdatahub.com/blog/ibm-analytics-good-design-not-just-good-business?