What's trending in 2016 ? Find out all you need on IBM Cognitive analytics

1. Cognitive analytics:
What’s coming in 2016?
ibm.co/advancedanalytics

2. 1. Cognitive analytics will become inescapable in
everyday life
Cognitive analytics is transforming life and work in the 21st century. Key trends
include the adoption of cognitively enriched intelligent machines such as mobile
devices and Internet of Things (IoT) devices. The cognitive computing fabric will
be interwoven into technology (e.g., social media) and touch our daily lives.

3. 2. Cognitive analytics will
become the chief focus
of innovation
To drive business success, developers
everywhere are building cognitive applications
for every conceivable use, and data scientists with
cognitive skills are at the heart of this fast-growing
developer ecosystem.

4. 3. Cognitive analytics will begin to converge all big data
Cognitive analytics is
ingesting new types of information.
The cognitive revolution runs on fresh feeds
of an ever-growing pool of disparate data, including
media streams, IoT sensor data and other
nontraditional sources.

5. 4. Cognitive analytics will become the hottest specialty
in data science
A new generation of data scientists is coming of age. These data scientists are
adept at cognitive application development in Apache Spark, Apache Hadoop, R
and other open platforms and tools. And they are combining statistical modeling,
subject matter domain knowledge and programming skills.

6. 5. Cognitive analytics will take root in global governance
As cognitive applications drive more business processes and automate decisions,
society is calling for highly comprehensive legal, regulatory and policy frameworks
to manage compliance, risks and ramifications.

7. 6. Cognitive analytics will become the principal
personalization tool
Cognitive systems are becoming active, context-aware personalized
interaction agents: the future of cognitive applications in our lives is pervasive
personalization. Cognitive systems will increasingly understand the geospatial
and temporal context of everything we do, and deliver responses that
consistently fit for those contexts.

8. 7. Cognitive analytics will start to automate most
data analysis
Cognitive systems are adopting unsupervised learning to automate sensing
and detection of deep patterns and nuances within complex data sets. Machine
learning is enabling automated systems to understand new concepts on their
own and train themselves to be experts.

9. 8. Cognitive analytics will drive further scaling in cloud
data services
Cognitive systems are scaling inexorably and indefinitely. As cognition-as-a-
service offerings such as IBM Watson gain adoption, the scalability will expand in
the volume, velocity and variety of data and algorithms being executed as well as
the resource requirements.

10. Learn more at:
ibm.co/advancedanalytics