how artificial intelligence is changing the rules of the...
TRANSCRIPT
Dr. Vladimir Preveden Graz, October 11, 2017
From data to strategy How artificial intelligence is
changing the rules of the game
2017
~2045
Source: Roland Berger
What is Intelligence…?
Intelligence is defined as the ability to acquire and
apply knowledge and skills. It can also be defined
as general cognitive problem-solving skills
… and why does
AI matter so much now?
> Chip power
> Transmission speed
> Computing costs
Time
Impact
Source: Roland Berger
AI is a field of computer science and comprises several elements
Source: Roland Berger
Moving around
Robotics
Vision
Image processing
Speech
Speech recognition and natural language
processing
Understanding the environment
Machine learning (pattern recognition),
deep learning (cognitive skills)
Symbolic-based Data-based
1956 definition Machines using language, forming abstracts and concepts solving problems and improving themselves
A. Digital turning points
B. New competencies needed
C. Recommendations for action
Turning points in technology
Source: Hilton; Uber; lola; Levi's; Roland Berger
Robot concierge Self-driving Uber
May 2016 Sep 2016
Hilton and IBM test the robot
Connie
Uber introduces self-driving cars in
Pittsburgh
Jacket of Levi's/Google
Sep 2017
First connected jacket on the
market
Break-through AI app
Jan 2017
The travel app lola receives USD 15 m
series B funding
By 2020, the majority of the population will have grown up in a fully digitized environment, already from early age on
44%
Source: Eurostat; Roland Berger; in 2020 44 % of the European population will either be Millennials or Generation Z
A. Digital turning points
B. New competencies needed
C. Recommendations for action
Artificial Intelligence embraces various new technologies companies will need to master
Source: Alipay; Levi's; Roland Berger
Wearables
Facial recognition
Speech recognition
Humanoid robots
Connected smart data
Robotic process automation
Speech recognition – With unimaginable effects and potentials
Source: Roland Berger
> Unbelievable quality of communication
> Virtual advisor
> Closed access for all others
> This is only the beginning
> Expansive repository of human-computer speech interactions
First application of Alexa in hotels – Wynn Hotel in Las Vegas
Source: Wynn; Roland Berger
> "Best customer excitement ever"
> Steering of light, music and TV is only the beginning
> Personal profiles will be transferable
> A lot of further applications possible
After three years of development, the first commercial connected jacket is
on the market – Wearables
Source: Levi's; Roland Berger
> Idea to create the first full scale digital platform for smart clothing
> Project by Google and Levi's
> Three years in the making
> Intuitive and use-based (urban cyclist) – Commuter Trucker Jacket
Source: Alipay; Roland Berger
> Already in commercial function
> Massive amount of data
> Individual tracking
> Abundance of use-cases
Facial recognition is already far advanced and being tested in mass applications
Humanoid robots allow for a personalized and cost-efficient interaction with the customer
> Recognizes people
> Recognizes emotions, mimics and gesticulation
> Concrete advice
> Learns from answers
> Always available and friendly
> Cost-efficient
Source: Roland Berger
Humanoid robots Pepper are working on cruise ships of Costa Group
Source: SoftBank; Roland Berger
> Assistance & advice
> Answer questions about the ship and the trip
> Speaks three languages
> Learns from and collects feedback from guests
Pepper
Connected data analytics lead to a superb customer understanding
Source: Roland Berger
What if an evil demon, as clever and deceitful as he is powerful, has directed his entire effort to misleading
René Descartes, 1641
Robotic Process Automation automatizes workflows and prepares decision while reducing costs
> 20/80-rule – focus on the 80%
> For standardized processes
> Cost savings of up to 90% in workflows
> Several internal use-cases
Source: Roland Berger
A. Digital turning points
B. New competencies needed
C. Recommendations for action
Companies need new skill sets and features to be able to compete
Source: Roland Berger
Agile organization
Open innovation ecosystem
Status of employer of
choice
Design driven custo-mer centricity
10 x thinking
Strong analytical
skills
Fast decision making
Ambi-dexterity
More concretely, work on the following thinks
Source: Roland Berger
Analyze your organization for decision points along all steps and hierarchies and think how you can make them intelligent
2
Prioritize these potentials and get in touch with service providers for strategy design and startups for technology development
3
In parallel, build up data handling skills internally, start working with AI 4
Provide senior leadership for data/AI topics 6
Identify data you need and prepare the data in a useful way 5
Define pain points you want to solve, identify opportunities and build AI use cases
1
Ensure organizational agility and cultural change 7
A short introduction
Dr. Vladimir Preveden
Academic studies of energy technology and business administration at the University of Technology in Graz and the Universitat Politecnica Valencia
16 years of professional experience in strategic consulting of large corporations, 2 years in early-stage venture capital
Dissertation at the University of Vienna about the conceptual design of a Corporate Venture Capital unit for a large corporation
Author of studies about strategy, digitization and innovations
Continuous academic and internationally recognized
publications enhance our work
Source: Roland Berger
Applying Design Thinking systematically to create an innovation mindset
Applying disruptive digital ideas to trans-form your processes and business model
Agility – Demands of a fast-changing world
How corporations can profit from a vivid start-up scene
