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Explore how our innovation is shaping the future #LabsInnovationReport
Our digital experience
experts and partners are
at the forefront of developing
technology concepts such
as adaptive product redesign,
human–machine teaming
and immersive learning,
to help our clients make
their big engagement
dreams a digital reality.
Digital experiences
Digital experiences
Redefining employee
learning experiences with XR
We’ve helped a leading global transportation company
develop an immersive approach for training their ship
operators using extended reality (XR). This unique
and realistic training environment:
▪ Improves learning outcomes
▪ Reduces risks
▪ Reinforces safety
▪ Provides scalability
▪ Reduces costs.
Digital experiences
Reimagining the future
of entertainment with Disney
Accenture continues to collaborate with
The Walt Disney Studios StudioLAB as a key
Innovation Partner. The StudioLAB is a unique
space dedicated to reimagining, designing
and prototyping the entertainment experiences
and production capabilities of the future using
innovative technologies.
Early projects have explored the use of IoT
and immersive technology to support ground-
breaking experiences and how next-generation
technologies like artificial intelligence and
photogrammetry can accelerate and streamline
movie production. The StudioLAB partnership
draws on Accenture Labs’ extensive experience
of running a lab to help The Walt Disney Studios
apply emerging technologies in innovative ways.
Digital experiences
Envisioning the practical
realities of smart materials
Dramatic advances in material science and latest
innovation in e-textiles, flexible electronics, 4D printing
and other areas are enabling seamless, unobtrusive
interfaces to smart environments. In exploring the practical
implementations of smart materials, Labs has been at the
forefront of researching how smart products and smart
environments will become more adaptive to human needs.
For example, Accenture Labs continues to join forces with
leading automotive supplier Faurecia by co-investing to
develop smart interiors and new services for connected
and autonomous vehicles. Our co-research engagement
means joint teams explore the use of smart materials, AI,
advanced analytics, cloud, edge computing, augmented
and virtual reality, and blockchain to develop services
aimed at enhancing the wellness and comfort of both
drivers and passengers.
Digital experiences
Enhancing creative design with AI
AI has the potential to transform the creative design process in
radical ways, from analyzing the winning attributes of successful
products at scale to predicting the popularity of design choices
and much more. Using AI-driven generative design, an aircraft
manufacturer was able to cut the weight of a key airplane part
by 45%, significantly reducing fuel consumption and CO2
emissions across its fleet.1
Accenture Labs developed a prototype which uses technology
to accelerate the product design cycle and produce results that
address fast-changing market demands more systematically.
It uses neural style transfer and multi-object style transfer to
suggest design ideas, initially for the apparel and packaged
goods industries. Identifying popular design attributes on the
basis of a diverse range of data sources, the prototype can
generate new designs for human designers to take forward.
1. https://www.newequipment.com/research-and-development/article/22059780/
what-generative-design-is-and-why-its-the-future-of-manufacturing
Our artificial intelligence teams
explore new ways of addressing
critical business problems by
applying leading-edge AI
techniques, like machine learning,
natural language processing,
explainable AI, knowledge
representation and reasoning
to everything from data analytics
to cooking.
Artificial
Intelligence
Taking computational creativity
into the heart of the kitchen
Artificial Intelligence
Our Dublin Lab developed a proof of concept
demonstrating how the application of AI to enhance
human creativity can generate new creative
combinations of food product ingredients.
The AI driven tool gives product developers fast,
curated inspiration and a quicker time to market.
This ability to identify potential new formulations
is critical in many industries, from finding potential
new compounds in pharma or chemicals to
spotting emerging product categories in retail.
Boosting data quality
with machine learning
Artificial Intelligence
As enterprise becomes more and more data-driven,
the need for quality data becomes essential. To this
end, the race is on to enrich, remediate, and deduplicate
enterprise data. Existing approaches rely either on human
judgments about individual data points or on hard-and-
fast rules that apply to entire data sets.
Our new Data Labeling Workbench is a lightweight tool
that enhances and accelerates data augmentation efforts.
It uses AI techniques to provide a means for human
experts to convey their knowledge in an efficient way
and iteratively refine the resulting augmentations.
For example, when training a model, rather than making
a judgment on whether an individual insurance claim
should be approved, the expert confirms or corrects
large groups of judgments made by a machine,
reducing the cost of labeling by as much as 90%.
Our cybersecurity Lab
solutions help improve
our clients’ cyber-defense
strategies and capabilities,
by focusing on threat-
centric management,
advanced detection
methods, data protection
at scale and effective risk
management techniques.
Security
Our team developed a pioneering “DeBloating”
method to “right size” container code for an
application which could reduce the overall
size of a container while also significantly
reducing the number of vulnerabilities in it.
Reducing lifecycle management costs and
resulting in a more secure codebase, we
projected the removal of more than 50,000
vulnerabilities for a major telco client.
Security
Minimizing attack surfaces
with DeBloat technology
Security breaches have increased by 11% since 2018 and 67%
since 2014, with an average cost of cybercrime for an organization
reaching US$13 million in 2019.2 With each new service, technology
or partner integration, the enterprise cyber-attack surface grows.
Staying ahead of adversaries is an ever-increasing challenge.
Now, through Agile Security research, Labs has created an
industry first: the Cyber Digital Twin.
This dynamic model of an enterprise’s security posture comprises a
knowledge graph platform configurable for any type of data, enabling
businesses to analyze risk dynamically. In our Lateral Movement use
case, for example, we combine analysis of real conditions modeled
in the CyTwin with Accenture’s state-of-the-art knowledge of how
adversaries navigate through networks and systems. This provides
new understanding at both the macro level and the micro level.
With these insights, cyber defenders can prioritize their actions
to most effectively and efficiently reduce the risk to the business.
The CyTwin can also model “what if” conditions or behavior in
the enterprise, increasing resilience ahead of attack events.
Security
Making security agile
through the Cyber Digital Twin
2. https://www.accenture.com/us-en/insights/security/cost-cybercrime-study
Teams developing frameworks
and tools that enhance
architectures for the connected
data-driven enterprises of the
future help ensure that the
systems and platforms in place
can orchestrate and adapt to
massive amounts of data, devices
and systems in real time.
Systems & platforms
Taking robotic
surgery to the edge
Systems & platforms
With the rate of robotic surgeries
increasing by 25% annually, Accenture
Labs has helped a global medical device
manufacturer develop a new Robotic
Surgery Platform to securely connect
computing and robotics components
needed for digitally-assisted surgery.
Applying intelligent automation
in the software development
lifecycle can significantly
accelerate the application
development process while
increasing the quality of
overall outcomes.
Application
engineering
Accelerating the
future of application
engineering with XRaSE
Application engineering
We’ve been developing XRaSE (eXtended
Reality and Software Engineering) to help
resolve the disparity in the way teams
collaborate throughout the software
development life cycle.
Moving beyond textual representations
and 2D displays, XRaSE leverages
augmented reality to visualize a software
application in three dimensions,
supporting a richer and more intuitive
collaborative experience.
Accenture Labs applies cutting-
edge technologies in innovative
ways to help build a more inclusive
and sustainable world. Through
our cross-group Tech4Good
initiative, we’re supporting
positive social transformation
at scale with technologies like AI,
IoT, blockchain and augmented
and virtual reality.
Tech4Good
Clean water changes lives. That’s why the innovative
nonprofit charity: water is on a mission to bring clean
and safe drinking water to people in developing
countries. Known for its commitment to transparency
and accountability, the organization is working to
reinvent charity on its way to ending the water crisis.
Using machine learning and advanced probabilistic
models, Accenture Labs built a predictive maintenance
solution to help charity: water monitor water usage
with data from thousands of smart pumps in remote
locations. This will allow the organization to better see
patterns in the data, detect anomalies, and proactively
maintain the pumps. The ultimate goal is to reduce
maintenance costs, operate efficiently at scale, and
expand the reach of charity: water’s work.
Tech4Good
Harnessing data science to
improve access to clean water
Accenture Labs has been working on several projects
to use technology to combat the threats of climate
change and species extinction. In one initiative,
we used automated image tagging to help scientists
scale up their analysis of coral reefs, with a view
to developing more resilient “future-proofed” reef
systems. In another, we worked with the Bombay
Natural History Society in Mumbai to develop an
“Internet of Birds” mobile app which uses artificial
intelligence to identify bird species. The app, which
was launched at the International Conference on
Wetland Birds in India, can also provide visualizations
of birds’ migratory paths using virtual reality.
This year, the app’s capabilities have increased
the number of identified birds to 700.
Accelerating efforts to
promote nature conservation
Tech4Good
Accenture Labs in India is working with
MAYA Healthcare and India Corporate
Citizenship to create a viable technology-
supported business model for delivering last-
mile preventative healthcare in underserved
rural and semi-urban communities. Bringing
together healthcare microentrepreneurs
(“health navigators”) with private clinics
and government-run hospitals, our platform
supports easy to use health monitoring tools
for use in the field. The solution has been
piloted with 50,000 people living in
Karnataka, India.
Navigating the
complexities of last-
mile healthcare
Tech4Good
Law enforcement agencies know that victims of
human trafficking are often hidden in plain sight
among the thousands of classified advertisements
for escort services. But distinguishing them from
legal adverts by eye is a frustrating and difficult
process. Working with Stanford University and
the University of Michigan, Accenture Labs used
natural language processing to build a context-
aware classifier able to identify highrisk cases
with 90% accuracy. Thanks to our work, law
enforcement agencies are able to devote their
resources to cases most likely to involve
trafficking victims.
Fighting the scourge
of human trafficking with AI
Tech4Good
THANK YOU

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Accenture Labs Innovation Stories 2020

  • 1. Explore how our innovation is shaping the future #LabsInnovationReport
  • 2. Our digital experience experts and partners are at the forefront of developing technology concepts such as adaptive product redesign, human–machine teaming and immersive learning, to help our clients make their big engagement dreams a digital reality. Digital experiences
  • 3. Digital experiences Redefining employee learning experiences with XR We’ve helped a leading global transportation company develop an immersive approach for training their ship operators using extended reality (XR). This unique and realistic training environment: ▪ Improves learning outcomes ▪ Reduces risks ▪ Reinforces safety ▪ Provides scalability ▪ Reduces costs.
  • 4. Digital experiences Reimagining the future of entertainment with Disney Accenture continues to collaborate with The Walt Disney Studios StudioLAB as a key Innovation Partner. The StudioLAB is a unique space dedicated to reimagining, designing and prototyping the entertainment experiences and production capabilities of the future using innovative technologies. Early projects have explored the use of IoT and immersive technology to support ground- breaking experiences and how next-generation technologies like artificial intelligence and photogrammetry can accelerate and streamline movie production. The StudioLAB partnership draws on Accenture Labs’ extensive experience of running a lab to help The Walt Disney Studios apply emerging technologies in innovative ways.
  • 5. Digital experiences Envisioning the practical realities of smart materials Dramatic advances in material science and latest innovation in e-textiles, flexible electronics, 4D printing and other areas are enabling seamless, unobtrusive interfaces to smart environments. In exploring the practical implementations of smart materials, Labs has been at the forefront of researching how smart products and smart environments will become more adaptive to human needs. For example, Accenture Labs continues to join forces with leading automotive supplier Faurecia by co-investing to develop smart interiors and new services for connected and autonomous vehicles. Our co-research engagement means joint teams explore the use of smart materials, AI, advanced analytics, cloud, edge computing, augmented and virtual reality, and blockchain to develop services aimed at enhancing the wellness and comfort of both drivers and passengers.
  • 6. Digital experiences Enhancing creative design with AI AI has the potential to transform the creative design process in radical ways, from analyzing the winning attributes of successful products at scale to predicting the popularity of design choices and much more. Using AI-driven generative design, an aircraft manufacturer was able to cut the weight of a key airplane part by 45%, significantly reducing fuel consumption and CO2 emissions across its fleet.1 Accenture Labs developed a prototype which uses technology to accelerate the product design cycle and produce results that address fast-changing market demands more systematically. It uses neural style transfer and multi-object style transfer to suggest design ideas, initially for the apparel and packaged goods industries. Identifying popular design attributes on the basis of a diverse range of data sources, the prototype can generate new designs for human designers to take forward. 1. https://www.newequipment.com/research-and-development/article/22059780/ what-generative-design-is-and-why-its-the-future-of-manufacturing
  • 7. Our artificial intelligence teams explore new ways of addressing critical business problems by applying leading-edge AI techniques, like machine learning, natural language processing, explainable AI, knowledge representation and reasoning to everything from data analytics to cooking. Artificial Intelligence
  • 8. Taking computational creativity into the heart of the kitchen Artificial Intelligence Our Dublin Lab developed a proof of concept demonstrating how the application of AI to enhance human creativity can generate new creative combinations of food product ingredients. The AI driven tool gives product developers fast, curated inspiration and a quicker time to market. This ability to identify potential new formulations is critical in many industries, from finding potential new compounds in pharma or chemicals to spotting emerging product categories in retail.
  • 9. Boosting data quality with machine learning Artificial Intelligence As enterprise becomes more and more data-driven, the need for quality data becomes essential. To this end, the race is on to enrich, remediate, and deduplicate enterprise data. Existing approaches rely either on human judgments about individual data points or on hard-and- fast rules that apply to entire data sets. Our new Data Labeling Workbench is a lightweight tool that enhances and accelerates data augmentation efforts. It uses AI techniques to provide a means for human experts to convey their knowledge in an efficient way and iteratively refine the resulting augmentations. For example, when training a model, rather than making a judgment on whether an individual insurance claim should be approved, the expert confirms or corrects large groups of judgments made by a machine, reducing the cost of labeling by as much as 90%.
  • 10. Our cybersecurity Lab solutions help improve our clients’ cyber-defense strategies and capabilities, by focusing on threat- centric management, advanced detection methods, data protection at scale and effective risk management techniques. Security
  • 11. Our team developed a pioneering “DeBloating” method to “right size” container code for an application which could reduce the overall size of a container while also significantly reducing the number of vulnerabilities in it. Reducing lifecycle management costs and resulting in a more secure codebase, we projected the removal of more than 50,000 vulnerabilities for a major telco client. Security Minimizing attack surfaces with DeBloat technology
  • 12. Security breaches have increased by 11% since 2018 and 67% since 2014, with an average cost of cybercrime for an organization reaching US$13 million in 2019.2 With each new service, technology or partner integration, the enterprise cyber-attack surface grows. Staying ahead of adversaries is an ever-increasing challenge. Now, through Agile Security research, Labs has created an industry first: the Cyber Digital Twin. This dynamic model of an enterprise’s security posture comprises a knowledge graph platform configurable for any type of data, enabling businesses to analyze risk dynamically. In our Lateral Movement use case, for example, we combine analysis of real conditions modeled in the CyTwin with Accenture’s state-of-the-art knowledge of how adversaries navigate through networks and systems. This provides new understanding at both the macro level and the micro level. With these insights, cyber defenders can prioritize their actions to most effectively and efficiently reduce the risk to the business. The CyTwin can also model “what if” conditions or behavior in the enterprise, increasing resilience ahead of attack events. Security Making security agile through the Cyber Digital Twin 2. https://www.accenture.com/us-en/insights/security/cost-cybercrime-study
  • 13. Teams developing frameworks and tools that enhance architectures for the connected data-driven enterprises of the future help ensure that the systems and platforms in place can orchestrate and adapt to massive amounts of data, devices and systems in real time. Systems & platforms
  • 14. Taking robotic surgery to the edge Systems & platforms With the rate of robotic surgeries increasing by 25% annually, Accenture Labs has helped a global medical device manufacturer develop a new Robotic Surgery Platform to securely connect computing and robotics components needed for digitally-assisted surgery.
  • 15. Applying intelligent automation in the software development lifecycle can significantly accelerate the application development process while increasing the quality of overall outcomes. Application engineering
  • 16. Accelerating the future of application engineering with XRaSE Application engineering We’ve been developing XRaSE (eXtended Reality and Software Engineering) to help resolve the disparity in the way teams collaborate throughout the software development life cycle. Moving beyond textual representations and 2D displays, XRaSE leverages augmented reality to visualize a software application in three dimensions, supporting a richer and more intuitive collaborative experience.
  • 17. Accenture Labs applies cutting- edge technologies in innovative ways to help build a more inclusive and sustainable world. Through our cross-group Tech4Good initiative, we’re supporting positive social transformation at scale with technologies like AI, IoT, blockchain and augmented and virtual reality. Tech4Good
  • 18. Clean water changes lives. That’s why the innovative nonprofit charity: water is on a mission to bring clean and safe drinking water to people in developing countries. Known for its commitment to transparency and accountability, the organization is working to reinvent charity on its way to ending the water crisis. Using machine learning and advanced probabilistic models, Accenture Labs built a predictive maintenance solution to help charity: water monitor water usage with data from thousands of smart pumps in remote locations. This will allow the organization to better see patterns in the data, detect anomalies, and proactively maintain the pumps. The ultimate goal is to reduce maintenance costs, operate efficiently at scale, and expand the reach of charity: water’s work. Tech4Good Harnessing data science to improve access to clean water
  • 19. Accenture Labs has been working on several projects to use technology to combat the threats of climate change and species extinction. In one initiative, we used automated image tagging to help scientists scale up their analysis of coral reefs, with a view to developing more resilient “future-proofed” reef systems. In another, we worked with the Bombay Natural History Society in Mumbai to develop an “Internet of Birds” mobile app which uses artificial intelligence to identify bird species. The app, which was launched at the International Conference on Wetland Birds in India, can also provide visualizations of birds’ migratory paths using virtual reality. This year, the app’s capabilities have increased the number of identified birds to 700. Accelerating efforts to promote nature conservation Tech4Good
  • 20. Accenture Labs in India is working with MAYA Healthcare and India Corporate Citizenship to create a viable technology- supported business model for delivering last- mile preventative healthcare in underserved rural and semi-urban communities. Bringing together healthcare microentrepreneurs (“health navigators”) with private clinics and government-run hospitals, our platform supports easy to use health monitoring tools for use in the field. The solution has been piloted with 50,000 people living in Karnataka, India. Navigating the complexities of last- mile healthcare Tech4Good
  • 21. Law enforcement agencies know that victims of human trafficking are often hidden in plain sight among the thousands of classified advertisements for escort services. But distinguishing them from legal adverts by eye is a frustrating and difficult process. Working with Stanford University and the University of Michigan, Accenture Labs used natural language processing to build a context- aware classifier able to identify highrisk cases with 90% accuracy. Thanks to our work, law enforcement agencies are able to devote their resources to cases most likely to involve trafficking victims. Fighting the scourge of human trafficking with AI Tech4Good