techvision 2016 trend 1 slideshare

Trend 1: Intelligent Automation

People First: The Primacy of People in the Digital Age

People First: The Primacy of People in the Digital Age

Copyright © 2016 Accenture. All rights reserved. 3

Intelligent Automation

Liquid Workforce

Platform Economy

Predictable Disruption

Digital Trust

The Accenture Technology Vision 2016 identifies five technology trends fueled by the people first principle and that are essential to business success in the digital economy.

Unprecedented data volumes: By 2020, there will be more than 44 zettabytes of data, 35% of which will be considered useful for analysis in 2020.1

Decreasing cost of storage: Over the past 30 years, the cost per gigabyte of hard disk data storage has halved every 14 months, from $3,488,630 in 1980 to $0.03 in 2015.2

Virtually unlimited computing power: Public cloud computing will reach almost $70 billion in 2015 worldwide.3

Advances in Artificial Intelligence technologies: AI startups in the US alone have increased 20-fold in the past four years.4

Broadening IT scope: 88% of executives agree the IT organization needs to broaden its scope and keep pace with evolving IT needs.5

Rapid technology advancements are opening up new possibilities for innovation, intelligence and automation

4Copyright © 2016 Accenture. All rights reserved.

Sources: 1“EMC Digital Universe Study,” with data and analysis by IDC, April 2014;; 2“Disk Drive Prices (1955-2015)”, John C. McCallum, 2015;; 3“ Public Cloud Computing to Reach Nearly $70 billion in 2015 Worldwide, According to IDC,” IDC, Press Release, July 21, 2015;; 4”Artificial Intelligence Startups See 302% Funding Jump in 2014,” CB Insights, February 10, 2015;; 5 “Calibrating Multi-Speed IT for the Varied Demands of a Multi-Speed Business,” Accenture, 2015.

In tandem, businesses are facing a number of new challenges.

5

Increasing awareness85% of execs use automation to improve their business process.

Accelerating pace of change28% of business and IT execs in our survey say the pace of technology change will increase at an unprecedented rate over the next three years.

Budget pressureA majority of IT executives (55%) cited their IT Budget change from 2014 to 2015 remained flat or decreased.(““2015 CIO Agenda: An Asset-Centric Perspective,” Gartner, June 2, 2015)

Early cost savings43% of execs in our survey achieved cost savings of greater than 15% from intelligent process automation in the past two years.

Shift of IT spend By 2018, 35% of IT resources will be spent on supporting the creation of new digital revenue streams, according to IDC.(“IDC FutureScape: CIO Agenda 2016 Predictions,” IDC, November 4, 2015)

Copyright © 2016 Accenture. All rights reserved.

Artificial Intelligence (AI) is a sub-field of computer science. Its goal is to enable the development of computers that can do thingsnormally done by people -- in particular, things associatedwith people acting intelligently.

As a result, there is a renewed focus and attention on artificial intelligence technologies, giving rise to an era of Intelligent Automation.


Expert Systems

Computer Vision

Inference Engines

Machine Learning

Robotic Process Automation

Deep Learning

Sensor Processing

Knowledge Repre-sentation

Mini Bots

Facial Recognition

Gesture Recognition

Leap Learning

Neural Networks

Biometrics

Natural Language Processing

Video Analytics

Artificial Intelligence Technologies

As artificial intelligence advances, enterprises are harnessing intelligent automation to redefine their business by reimagining the art of the possible.

7

Intelligent Automation: Building better workers (digital and human)Creating the essential new co-worker for the digital age.

Leaders will embrace automation not simply to take advantage of the breakneck pace of digital change, but also to create a new digital world where they hold competitive advantage. Machines and software intelligence will be the newest recruits to the workforce, bringing new skills to help people do new jobs, reinventing what’s possible.


Intelligent Automation is being used across multiple industries to create new value for businesses and society alike.

8

Natural Language Processing:Finance companies apply NLP to compliance and fraud prevention by monitoring electronic communications at financial institutions to identify relationships and entities across threads.

Reasoning & Planning:Automated planning and scheduling, typically for execution by autonomous robots and unmanned vehicles, from warehouse to retail store to household.

Knowledge Representation:Healthcare provider uses system to analyze massive amount of data to extract useful sections, such as doctor names, costs, and number of complaints, in order to create a clean and easy way to find the root cause of declining clinic performance.

Computer Vision:Law enforcement uses computer vision on facial recognition systems to identify or verify a person from a digital image or a video frame from a video source.



By changing what canbe done, intelligentautomation has thepotential to reshapeentire industries.

Vehicle

Vehicle

Robot

Vision Information

Intelligent

Robots

cast

ing

Autonomous

Search Retrieval

PricingDetention

Fore

-

Autonomous

Smart

Writer

Fraud

Slyce:Consumers search through images Walmart:

Real-timerecommendations

Airbnb:Dynamic pricing

based on demand and supply

PayPal:Machine learning

technology detects fraud

Infinite AI:Real-time visibility

in supply chain operations with forecasting and

inventoryFetch Robotics:

Affordable autonomous robots that move boxes in

the warehouse

DHL: SmartTrucks can

communicate with other vehicles to optimize routes

CATERPILLAR:Autonomous machines can navigate prescribed mining areas & accomplish tasks

without human presence

SearchBlox:System analyzes customer reviews and automatically

generates reports

Intelligent automation takes

over the heavy lifting and liberates humans to perform high value tasks. An automated process can provide higher accountability, deliver more accurate forecasts, and achieve higher customer satisfaction.

REVI

EW

SEARCH

DELIVER

ORDERThe Next Generation of online Commerce

Artificial Intelligence & Intelligent Automation offer the potential to address previously intractable challenges

10

Potentially helping millionsArtificial intelligence has halved the time it has taken to bring a cancer-combatting drug to market.


Today, it takes 12 to 14 years and $2.6 billion to develop one drug. With AI technology, it could take only half of that.

“Cancer Drug Development Time Halved Thanks to Artificial Intelligence,” The Telegraph, October 9, 2015

The platform provides:

Physicians with actionable information to recommend efficient and safe treatment pathways.

Insurance companies with health economics analyses to develop more relevant formulary.

Governments with a data ecosystem for financial modeling of healthcare needs of the population.

Best Practice: Interrogative Biology identifies predictive patterns

11

“Cancer Drug Development Time Halved Thanks to Artificial Intelligence,” The Telegraph, October 9, 2015;; “How Artificial Intelligence Can Make Drugs Better and Faster,” Popular Science, July 29, 2015


Intelligent Automation thrives when it’s paired with people to drive better outcomes. We’re starting to see it appear in every area of our lives.


7:00 Gesture Alarm Clock: Alarm clock wakes you up 15 minutes early because it detects traffic delays

8:30 Tesla Autopilot:Model S automates steer, turn, speed, park, and data is transmitted to the fleet to help system learn and improve

10am Charles Schwab’s Robo-Advisor: Allocates stocks and investments based on a completed questionnaire

2pm Enlitic: Turns large amounts of medical diagnostic data into deep insights and finds subtle patterns

4pm Cubic: Suggests a movie when you ask “What should I do tonight?”

5pm Automated Insights: WordSmith finishes writing a news article to be published on Associated Press news in just two minutes

8pm X.ai: Ask virtual assistant, Amy, to schedule a meeting with CEO at 2pm tomorrow

2am Keeker: While you are sleeping, smart robot keeps your home secure

Advances in robotics and proliferation of IoT devices are expanding the contexts in which people work with machines


2015-2018 Robot Sales ForecastProfessional Service Robots:

• 152,400 units

• $19.6 billion

Personal Service Robots:

• 35 million units

• $12.2 billion(“Service Robot Statistics”, International Federation of Robotics, 2015)

Robotic Surgery: Da Vinci enables a surgeon to operate with enhanced vision, precision and control.

Robot Butler: The robotic butler at Aloft hotel delivers amenities to guest rooms.

AI Kiosk: The Furo-S Smart Service Robot can interact with Furo-S to help people buy tickets, ask for directions, and even sit through annoying advertisements.

Retail Service Bot: OSHbot can answer simple customer questions, identify items, search inventory, act as a guide, and even summon hardware experts for a video chat.

From analytics to the applications themselves, intelligent automation is enabling enterprise to do more, faster than ever.


Data PreparationPaxata uses machine learning algorithms from consumer search and social media to create a better way to clean, normalize, and prepare data for analytics.

Software DevelopmentQueue Software Inc. provides Dropsource, an application development platform that automates all the programming required to build mobile applications.

Content GenerationUsing WordSmith, an automatic content generation system, AP now produces nearly 4,300 quarterly earnings stories, over 14 times the number that AP reporters and editors produced manually.

ArchitectureDocker is an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud.

Quality TestingWorksoft automates the functional testing of mission-critical processes end-to-end across complex application landscapes.

ApplicationsAmelia, a cognitive knowledge worker who learns as she works, is a virtual agent who understands what people ask and feel when they call for service.

Control4 is a robust, scalable home automation system that can be hardwired or wireless, depending on consumers’ needs. It offers customization to include the home automation features that matter most to individuals -- from whole-house audio to a secure network of cameras to door-locking mechanisms and light and temperature controls. Consumers can use a touchpad, computer, or tablet device to control the system from their home or via a smartphone for remote access.

Results/Impact:Simple, easy, intelligently automated.

Customer Automation: Your home, your preferences, but not your job anymore.


Intelligent Automation gives enterprises a competitive advantage that goes way beyond cost


Sources: “Germany Develops ‘Smart Factories' to Keep an Edge,” Marketwatch, October 27, 2014;; “Manufacturing: Self-Organizing Factories,” Siemens, 2015.

Lights Out ManufacturingSiemens automated some of its production lines so that they run unsupervised for several weeks. Now its 1,150 employees mostly operate computers and monitor the production process.

Results:This effort is one step in a larger effort that Siemens and others are pursuing to create the fully Self-Organizing Factory (aka industries 4.0) in which the machines largely organize themselves, supply chains will automatically link themselves together, and orders will be directly converted into manufacturing information that is incorporated into the production process.

Best Practice: Putting people first and evolving their roles and skills to seize advantage


Evolving, not replacingArizona State University (ASU) now has an adaptive learning platform built by Knewton and Cengage Learning as their tutor for introductory courses, rather than the more familiar teaching assistant.

ASU is not replacing instructors;; they are working with them to offer students a personalized curriculum that adapts in real-time. After implementing these bot tutors in select courses, pass rates rose from 64% to 75%, withdrawal rates fell by 56% and students were able to progress at their own pace.

Students in the math class at ASU

Pass rate

11%

Withdrawal rate

56%

Sources: “Arizona State U Teams with Private Partners on Adaptive Learning,” Campus Technology, April 8, 2015;; “Success for Every Student: Knewton's Tool Improve Student Achievement”, Knewton, 2012;; “KnewtonTechnology Helped More Arizona State University Students Succeed”, Knewton case study, 2012.

Intelligent Automation: 100-Day Plan


1. Identify the artificial intelligence and analytics capabilities your company uses today to provide a capabilities and gap analysis.

2. Take an inventory of labor-intensive business processes and identify appropriate opportunities to invest in automation and machine-learning capabilities.

3. Identify specific applications that require frequent and manual updates, rapid scaling, data extracts, and/or a high degree of personalization.

4. Map these examples/use cases against your current business processes and corporate strategy to prioritize specific opportunities.

5. Cultivate your data talent: develop a plan to build, buy, and/or partner to support your data and your automation know-how.

6. Map the implications of tasks being automated—the changes to roles, organization, processes and skills.

7. Create the ‘People First’ strategy for transitioning the organization, training on new skills and implementing the changes.

Intelligent Automation: 365-Day Plan


1. Implement artificial intelligence technologies that address one of these use cases from your 100-day plan.

2. Create the impact and transition plans required to scale the automation project.

3. Develop machine-learning skills internally by implementing a machine-learning software solution that utilizes a defined data set for a very specific use case.

4. Pilot a machine-learning solution that discovers new data associations

5. Set up a quality assurance process to support or refute the conclusions being drawn from the machine learning solution and subsequent actions taken.

6. Create a training program to ensure that your data scientists and software engineers are educated in the latest deep-learning and AI technologies.

7. Establish a top-down strategic commitment to artificial intelligence and data science, including R&D investment, innovation programs, and production development.

Predictions

20

Age of Avatars:We’ll see widespread use of avatars and robots who we will send to be where we can’t be and do things we

can’t – or don’t want to - do.

Apps by me:Consumers will be able to build simple, custom apps through voice commands, gestures and more to their devices. Soon, every person will become a programmer.


Intelligent automation isn’t an option, it’s mandatory.

21

3 high-level takeaways:

AI as a core competence:Pervasive capability for every aspect of your business.

Power to drive change:Drive change through

automation.

People first:Successfully driving change means adapting the enterprise: organization, culture, skills,

experience.



Thank you#techvision2016www.accenture.com/technologyvision

https://www.accenture.com/us-en/insight-technology-trends-2016?c=tech_tchvs16ss_10000001&n=smc_0116