Fast start in - IBM · Fast start in cognitive innovation ... Cognitive is underpinned by many...
Transcript of Fast start in - IBM · Fast start in cognitive innovation ... Cognitive is underpinned by many...
©2017 IBM Corporation1
Becoming cognitiveHow cognitive technologies redefine engagement, innovation and transformation
Fast start in cognitive innovation
Gaurav Trikha, Executive PartnerFinancial Services LeaderCentral & Eastern Europe
IBM Global Business Services
©2017 IBM Corporation2
Cognitive systems are generally defined by the ability to understand, reason, learn, and interact
UNDERSTAND
Cognitive systems can understand unstructured information the same way humans do
REASON
They can reason, grasp underlying concepts, form hypotheses, and infer to extract ideas
LEARN
Each data point, interaction and outcomehelps to continuously sharpen expertise
INTERACT
With abilities to see, talk and hear, cognitive systems interact with humans in a natural way
Definition of Cognitive Technologies
©2017 IBM Corporation3
These systems are well suited to provide insights using complex and volatile data
DATA
How to keep up with the mountains of contextual data available to you, even when most of it is unstructured in format
COMPLEXITY
How to overcome and solve for great complexity by giving the skill and knowledge of the informed few to the empowered many
VOLATILITY
How to stay ahead of the ever-changing expectations customers have for what’s possible, leading your market segment in new ways
Cognitive Capabilities for Businesses
©2017 IBM Corporation4
IBM surveyed 6,050 respondents to gain insights into their use and understanding of Cognitive Computing around the globe
2,080Asia Pacific
Europe
1,967North America
877
South America
451
Middle East
& Africa
675
Global Distribution of Survey Respondents
©2017 IBM Corporation5
Financial outperformers see the transformative value of Cognitive Computing 2-3x more than underperformers
And are more ready to embrace it
Financial outperformers believe that Cognitive Computing is the future
33%
41%
36%
89%
88%
81%Cognitive Computing will be a disruptive force in our industry in the next three years
Cognitive Computing will play an important role in the future of our organization
Industry is ready to adopt Cognitive Computing
Organization is ready to adopt Cognitive Computing
34%
37%
87%
88%
Cognitive technology is mature and market ready
Financial Outperformers Financial Underperformers
Understanding of the Power of Cognitive by Financial Outperformers
QCA7 Please indicate to what extent you agree with the following statements. Rate on a scale of 1 to 5, where 1 = strongly disagree and 5 = strongly agree. *Respondents who gave a 4 or 5 (where 5 is significantly above peers) to self assessment performance questions on revenue and profitability(or effectiveness and efficiency) N = 5060 (Global) N=734 (Outperformers) N=2021 (Underperformers)
Financial outperformers are market leaders in innovation
22%
Underperformers
95%
Outperformers
Innovation
compared to
your industry
©2017 IBM Corporation6
Cognitive Innovators seek greater value from their cognitive projects
They are investing more They expect greater returns
8%
4%
CognitiveInnovators
All others
Percentage of IT spend on cognitive (Today)
21%
14%
CognitiveInnovators
All others
ROI expected to justify a cognitive initiative
Cognitive Innovators have a
3xhigher anticipated ROI than
all others
And seek greater value
Investment and Expectation of Returns by Cognitive Innovators
QCA16. What percentage of your organization's IT spend is dedicated to cognitive computing this year?QCA12. What Return on Investment (ROI) would your organization expect to justify a cognitive computing initiative?N=581 (Cognitive Innovators) N=5,469 (All others)
©2017 IBM Corporation7
Cognitive is underpinned by many advanced technologies and has the power to transform business
Artificial intelligenceSimulation of human intelligence processes
Robotics
Conception, design, manufacture, and
operation of robots
Machine learning
systems
Ability to learn and improve without explicit
instructions
Natural language
processing
Ability to understand human speech as it is spoken
Deep
learning
Machine learning with artificial neural network algorithms
Predictive
analytics
Predicting outcomes using statistical algorithms and
machine learning
Recommendation
engines
Analyze data and suggest something as
per user’s interest
Cognitive Technologies
Create new ways of interacting with
customers
Reveal more powerful on-demand business
insights through real-time access to data
Enable business model – and ecosystem –
transformation
Business Value
Impact of Cognitive on Business
©2017 IBM Corporation8
The ability to understand and learn with every interaction provides opportunities to reinvent client engagements
90%accuracy
expected for FAQs
up from 65%
A Japanese telecommunications provider is enhancing its
robot product to engage with customers at retail outlets
A large Brazilian bank automates its contact centers as
part of its growth strategy
Case Studies
http://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-A8AA6M&appname=crmdhttp://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-ABNUWX&appname=crmd
Leverages cognitive for its Salesforce to interpret natural-language queries
Returns increasingly accurate answers from structured and unstructured data
USD 710 million
in new sales
revenue expected
Fuels innovation
for sustained
growth
Improve agent
satisfaction
tremendously
~70%accuracy
achieved for written
queries
~70%accuracy
achieved for spoken
queries
Adopted cognitive self learning technology to interact with agents through spoken & written inquiries
First anywhere in Portuguese as part of its process transformation
©2017 IBM Corporation9
Streamlining and accelerating the process of filtering complex data help deliver contextually accurate insights
95%increase in
outage event
detection accuracy
An oil and natural gas producer in the USA leverages
machine learning algorithms to increase overall productivity
An e-learning company applies AI to enhance its
capabilities to detect data security threats
Case Studies
Incorporated self correcting machine learning algorithms to automatically build rules
These rules identify if changes in vibration patterns, pressure etc., are true anomalies
Reduced production
outage through more
accurate analysis of
equipment sensor data
Improved
productivity
through actionable
insights
Removed many manual processes
Saved 20% -50%
of time spent
on security tasks
1 million malicious
IP addresses were identified
Adopted cloud based cognitive analytics solution that applies artificial intelligence
Uncovers trends and patterns to deploy defense mechanism against any new threat
http://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-ABDQEU&appname=crmdhttp://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-9ZRMKH&appname=crmd
©2017 IBM Corporation10
Ability to generate robust insights, which were not possible earlier, drives disruptive business models
Improves company’s
competitiveness in
the Chinese market
A Chinese automobile manufacturer is applying self learning
cognitive models to reduce air pollution
A European cancer treatment institute is leveraging
Natural Language Processing to gain new insights
Case Studies
Streaming analytics and mapping techniques are fused with self learning cognitive models
Generate actionable recommendations on reducing air pollution exposure
Creates new revenue
streams by encouraging
customers to purchase
air quality sensors
Improves quality of
life for drivers by
providing actionable
recommendations
Improves likelihood of successful outcomes
Huge potential to eliminate unnecessary treatments
Reduction in overall cost of the treatment is expected
The institute uses NLP algorithms to pull an enormous amount of unstructured data
Uses semantic analysis to understand clinical and patient-specific treatment data
http://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-AAGC3S&appname=crmdhttp://w3-01.ibm.com/sales/ssi/cgi-bin/ssialias?infotype=CR&subtype=NA&htmlfid=0CRDD-AA3TPP&appname=crmd
©2017 IBM Corporation11
How do you get started with cognitive innovation?
Pick a Challenge
Leverage Design Thinking and
Agile approaches to develop
meaningful use cases
Identify business outcomes for
use cases
Articulate impact to user
experience
Prove it FastIdentify right data sets to
solve the challenge
Demonstrate value, in
terms of benefits and
outcomes, early and
often
Create a series of
periodic demonstrable
playbacks and
prototypes
Plan the ProgramDevelop a roadmap for the
organization
Set milestones for success
during the cognitive journey
Train and educate teams on
how Cognitive solutions
work
Develop a Center of
Competency to build
awareness, skills and best
practices
Secure Buy-in from
stakeholders
Measure the
Outcomes
Create project scorecards
to monitor the program
Listen, iterate, learn, and
course correct while
continuously learning
Moonshots +
tactics = win
Better data =
better outcome
Training is different
than programming
Ubiquitous
cognitive on cloud
Proactively
address AI anxiety
Checklist for success
Guidelines for your Cognitive Journey
…with the right partner
©2017 IBM Corporation12
IBM Global Business Services is the partner of choice for many clients on their cognitive journeys
Leader in the Cognitive services,
Worldwide as well as Europe
Expertise of more than 2,000 consulting
professionals
Professionals in machine learning,
advanced analytics, and data science
Deep industry understanding
Numerous projects and PoCs delivered in
Europe for clients in Banking, Insurance,
Public, Telecommunications etc.