What do Led Zeppelin and your baby have in common?
Principal Analyst at Forrester Mike Gualtieri tells all on March 5
Join us on Thursday, March 5 at 1:00 p.m. ET for a webinar featuring Mike Gualtieri, coauthor of The Forrester Wave: Big Data Streaming Analytics Platforms, to discuss how streaming data is transforming the way we live, work and play. For example, imagine a music service that adjusts volume levels and music types based on your activities. Led Zeppelin is great for a workout, but maybe not so great when you are looking for some music to help you fall asleep. Music services could connect to your biomonitor to detect heart rate and adjust automatically.
Another example is data streaming from infant monitoring devices, which is voluminous and fast. Streaming applications can capture, analyze and help doctors and parents take action to keep the baby healthy and happy, both at home and in a heathcare facility.
So the answer to “what do Led Zeppelin and your baby have in common?” lies in the unlimited potential to connect in new ways and drive new actions. We will go into much more detail regarding industry use cases and how to start crafting a real-time analytics strategy for your unique challenges during this webinar.
The force of streaming data from the Internet of Things (IoT) can’t be ignored
Analysts predict that new IoT-based services could raise the level of US gross domestic product by 2 percent to 5 percent by 2025. To lend additional perspective, the total revenue for the top three US automakers (GM, Ford and Chrysler) in 2014 was $367B. Some top industry drivers are shown below:
- Connected car: $600 billion
- Clinical remote monitoring: $350 billion
- Assisted living: $270 billion
- Home and building security: $250 billion
- Pay as you go drive car insurance: $245 billion
- New business models for car usage: $225 billion
- Smart meters: $105 billion
- Traffic management: $100 billion
- Electric vehicle charging: $75 billion
- Building automation: $40 billion
As the need for streaming applications grows, new architectures are emerging to satisfy requirements. For example, IBM’s steam computing technology, InfoSphere Streams, deploys using this architectural model.
The four steps are:
- Ingest data from many sources and prepare it for analysis
♦Transform, filter, correlate, aggregate and enrich the data for analysis
- Detect and predict events and patterns in the data
- Decide how the results should be handled and act on them
- Store any data that is of longer term value
It's time for fresh thinking
Join us to dive deeper into the abundance of possible use cases (and more sources of revenue) as well as architectures currently evolving to support new streaming data applications. You will want to stay through to the end since we have some new capabilities for InfoSphere Streams to explore. Be among the first to get the details on the new capabilities for viewing streaming data in Microsoft Excel, and also on enhanced high availability.
In the meantime, here are a few resources you might find helpful:
- Learn more about how IBM InfoSphere Streams is redefining real-time analytics
- Welcome the next revolution in decision management: Capturing big data