Collaborating with Clients & Partners on Cognitive IoT
1. Supporting your Cognitive IoT journey?
How we can help
Our ongoing innovation: IBM is pioneering the
infusion of cognitive computing into the IoT to derive
new intelligence and outcomes into traffic systems,
healthcare, retail, supply chains, food systems,
energy grids, cities and more.
Our industry partnerships: Under Armour,
Medtronic and Whirlpool are among more than
4,000 IoT clients we have worked with over the last
decade, including industry leaders in automotive, oil
and gas, aerospace and defense, utilities,
transportation and energy.
Our broad and growing Cognitive IoT portfolio:
In October, we revealed plans to acquire the B2B,
mobile and web properties of The Weather Channel
to provide a high-volume, real-time and mobile-
enabled IoT platform for clients. In December, we
announced new Watson IoT offerings, and opened
Watson IoT client experience centers around the
world to help clients create new products and
services delivered through the Watson IoT
Cloud Platform.
What we announced at CES
IBM announced new partnerships with three
companies to use Watson cognitive computing
technology with Internet of Things:
• Under Armour will put its Connected Fitness user
data and data from other sources through Watson
to provide timely, evidence-based coaching about
health and fitness-related issues.
• Whirlpool will connect its home appliances with
IBM Watson services, including cognitive analytics,
to provide more personalized services to
consumers.
• Medtronic will work with IBM on a diabetes app to
use Watson’s cognitive computing and data from
Medtronic’s wearable medical devices and other
sources to provide insights to patients, such as
identifying possible risks and the impact that food
and activity can have on an individual’s glycemic
response.
Keys to succeed and get real value from
the Cognitive Internet of Things
The right platform: You need a platform with a
range of analytics capabilities on the platform to
determine what data from many sources means
and what actions you might take.
The right data: With so many kinds of data
available, the challenge is tapping into the right
data sources and having the right tools to make
understanding data easier.
The right ecosystem: You need partners who
bring expertise, additional APIs and valuable data
sets to work for you.
January 7, 2016Behind the News
Consumer Electronics Show:
Collaborating with Clients & Partners on Cognitive IoT