Cognitive analytics will become ubiquitous in everyday life through devices like mobile phones and IoT devices. It will also become a major focus of innovation as developers build cognitive applications and data scientists with cognitive skills are in high demand. Additionally, cognitive analytics will begin to converge all big data sources and will automate most data analysis through unsupervised machine learning.

1. Cognitive analytics:
What’s coming?

2. 1. Cognitive analytics will becomeinescapable in
everyday life
Cognitive analyticsis transforminglife and work in the21st century.Key trends
include theadoptionofcognitivelyenriched intelligent machinessuch as mobile
devicesand InternetofThings (IoT) devices.The cognitive computingfabricwill
be interwoven into technology(e.g.,social media)and touchour dailylives.

3. 2. Cognitive analytics will
become the chief focus
of innovation
To drive business success, developers
everywherearebuildingcognitive applications
for every conceivable use, anddatascientists with
cognitive skills are atthe heart of this fast-growing
developerecosystem.

4. 3. Cognitive analytics will begin to convergeall big data
Cognitive analytics is
ingesting newtypes of information.
The cognitive revolution runs onfresh feeds
ofanever-growing poolofdisparatedata,including
mediastreams, IoT sensor dataandother
nontraditionalsources.

5. 4. Cognitive analytics will become the hottest specialty
in datascience
Anewgenerationofdatascientists is comingofage.These data scientists are
adeptatcognitive application developmentin ApacheSpark, ApacheHadoop,R
andotheropenplatformsandtools. Andtheyarecombiningstatistical modeling,
subject matter domain knowledgeandprogramming skills.

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

7. 6. Cognitive analytics will become the principal
personalization tool
Cognitive systems arebecoming active,context-aware personalized
interactionagents:the future ofcognitive applicationsin our lives is pervasive
personalization. Cognitive systems will increasingly understandthegeospatial
andtemporalcontext ofeverythingwedo,anddeliverresponses that
consistently fit for those contexts.

8. 7. Cognitive analytics will start to automate most
dataanalysis
Cognitive systems areadoptingunsupervised learningtoautomatesensing and
detectionofdeeppatterns andnuanceswithin complexdatasets. Machine
learningis enablingautomatedsystems tounderstandnewconcepts ontheir
ownandtrain themselvestobe experts.

9. 8. Cognitive analytics will drive further scaling incloud
dataservices
Cognitive systems arescaling inexorablyand indefinitely. As cognition-as-a-
service offerings such as IBM Watson gainadoption,the scalability will expandin
thevolume,velocityandvariety ofdataandalgorithmsbeingexecutedas wellas
theresource requirements.