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Accenture Labs Innovation Stories

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Accenture Labs Innovation Stories

  1. 1. #LabsInnovationReport THE IMPOSSIBLE EVERYDAY THE IMPOSSIB EVERYDA Innovation Stories Accenture Labs
  2. 2. Copyright © 2018 Accenture. All rights reserved. 2 Accenture Labs developed a range of new services for connected and autonomous vehicle cockpits, improving driver information, safety and comfort. Reinventing in-car experiences with Faurecia
  3. 3. Copyright © 2018 Accenture. All rights reserved. 3 The San Francisco Lab explored innovative ideas such as AI-powered fashion advice for customers and the “smart retail store”. It also created a tool that could capture a senior fashion stylist’s unique design perspective and then easily communicate it to less experienced employees. Exploring human + machine fashion advice with the council of fashion designers of america
  4. 4. Copyright © 2018 Accenture. All rights reserved. 4 With the help of experienced team augmentation, the San Francisco Lab helped the Disney StudioLAB explore the use of the IoT to support ground-breaking experiences, and how AI could accelerate and streamline movie production. Reimagining the future of entertainment with Disney
  5. 5. Copyright © 2018 Accenture. All rights reserved. 5 The San Francisco Lab created a first-of-its-kind human-robot teaming system for the smart factory, which was demoed at the 2018 Hannover Messe conference. It showcased how robots can perform multi-modal interactions in more complex scenarios with human teammates. Enhanced human–robot teaming for the smart factory
  6. 6. Copyright © 2018 Accenture. All rights reserved. 6 A “teleportation” app was developed by the Sophia Antipolis Lab to support collaborative working from disparate locations. Using VR, the app enables users to connect from any location and be immersed in a dedicated meeting room complete with advanced collaboration functionality. Virtual teleportation takes remote collaboration to a new level
  7. 7. Copyright © 2018 Accenture. All rights reserved. 7 By replacing the role of a human tester with a robotic gantry system, we created a proof of concept able to automate all the physical interaction with smart meter firmware updates. The result was greatly improved testing efficiency and freeing workers from a laborious and monotonous task. Exploring the future of enterprise robotics Client PilotsTechnology Partners
  8. 8. Copyright © 2018 Accenture. All rights reserved. 8 In collaboration with Intel and theTel Aviv Stock Exchange (TASE), Accenture Labs aims to create a new kind of marketplace for securities lending by developing a blockchain- based proof of concept. Labs were instrumental in ensuring Security by Design principles were embedded in the project from the outset, accelerating development without sacrificing security. Securing a new securities lending platform with blockchain
  9. 9. Copyright © 2018 Accenture. All rights reserved. 9 The Washington D.C. Cyber Lab developed a new analytics tool capable of labeling security alerts based on the phase of the cyber-attack “kill chain”. As a result, cyber-defenders can quickly identify and action the most critical alerts. Categorizing security breaches with advanced analytics
  10. 10. Copyright © 2018 Accenture. All rights reserved. 10 As AML regulations get tougher, today’s mostly manual, rules-based detection processes are still highly inefficient and produce vast numbers of false positives. The Dublin Lab has been developing proofs of concept that address a range of challenges from entity resolution to link analysis. Reducing false positives in AML compliance
  11. 11. Copyright © 2018 Accenture. All rights reserved. 11 To ensure only the highest-quality goods leave the production line, manufacturers often have to deal with time-consuming and costly activities. Working with Faurecia, the Dublin Lab created a system that uses deep learning to detect missing accessories and the extent of wrinkles on newly assembled car seats. Accelerating the production line with computer vision
  12. 12. SHARING INNOVATION GLOBALLY Our Tech4Good projects bring innovation where it’s needed.
  13. 13. Copyright © 2018 Accenture. All rights reserved. 13 The Bangalore Lab developed EASE (Emotion Analytics for Social Enterprises) – a mobile app that uses AI to glean key insights into the mental state of an individual. This helps microfinance advisers spot if any undue pressure is being placed on female loan applicants They also developed Grameen Guru which uses AR, image recognition, and a multilingual chatbot to help those with limited literacy understand financial products and services. Promoting financial inclusion and education with the Grameen foundation India
  14. 14. Copyright © 2018 Accenture. All rights reserved. 14 In conjunction with Stanford University, the San Francisco Lab is creating a tool that can process the huge numbers of advertisements for escort services. Through machine learning, it is able to recognize suspicious features (such as unusual pricing or location) and help the authorities with their investigations. Fighting human trafficking with AI
  15. 15. Copyright © 2018 Accenture. All rights reserved. 15 The Bangalore Lab teamed up with BleeTech, creators of the BleeWatch, which lets those hard of hearing feel the music through haptic feedback. The Lab used state-of-the-art music analysis to enable BleeTech to automatically extract the beat of any piece of music, greatly expanding their music library. Making the hard-of-hearing feel the beat
  16. 16. Copyright © 2018 Accenture. All rights reserved. 16 Labs developed aVR “Future Skills Builder” experience to help young people understand and enhance their transferable skills. Designed to fit seamlessly into the school day, the Future Skills Builder provides short goal-based mini-games to develop users’ “create and solve” skills with the Oculus Go headset. Building future skills with an innovative VR “game”
  17. 17. REGTECH STORY
  18. 18. Copyright © 2018 Accenture. All rights reserved. 18 The Labs regulatory technologies initiative and AccentureTechnology Centers India Financial Services developed a “smart risk advisor” prototype to help our clients build competitive differentiation around regulatory constraints. It helps risk managers instantly spot emerging risks and recommends mitigating actions. It was also recognized by the judges at the GTIC 18 Awards. Streamlining the regulatory environment with Regtech
  19. 19. INDUSTRY X.O STORY
  20. 20. Copyright © 2018 Accenture. All rights reserved. 20 The Labs Industry X.0 have been developing an Engineering Data Digitization tool to automate the process of digitizing engineering documents and integrate their insights into a knowledge graph. By releasing the valuable data trapped in images and hard copy, the knowledge-capturing tool ensures IoT solutions can make sense of the context of asset data. Digitizing docs with AI Image
  21. 21. LABS FY18 R&D IN NUMBERS 770+1,000+ 220+ 150+ 92136 34 3 innovationworkshopsand eventshosted clientvisitstoNanoLabs patentsgranted patentapplicationsfiled businessandresearch reportspublished proofofconceptsdelivered clientpilots awardsforsocialimpact
  22. 22. SEE YOU IN THE NEW Thank You!

Notes de l'éditeur

  • Accenture Labs have joined forces with Faurecia to reinvent the in-car experience, developing new services for connected and autonomous vehicle cockpits.
     
    Organized within a “digital services factory”, the teams will explore the use of AI, advanced analytics, cloud, edge computing, AR, VR, and blockchain to enhance driver and passenger wellness and comfort.
     
    These services will be developed on Faurecia’s Cockpit Intelligence Platform which integrates key cockpit functions such as driver information, infotainment, safety, comfort, temperature and sound management.
  • Building on the partnership established in 2017, the San Francisco Lab has been working with CFDA and other parts of Accenture to explore innovative ideas like the “smart retail store” and how AI can provide fashion advice for customers.
     
    In only one month, the team created a tool that could capture a senior fashion stylist’s unique design perspective and easily communicate  it to less experienced employees, enabling a retailer to spread key insights further across the business.
  • The Disney StudioLAB is a unique space dedicated to reimagining, designing and prototyping the entertainment experiences and production capabilities of the future.
     
    The San Francisco Lab brought experienced team augmentation to the program, helping the StudioLAB implement a wide range of exciting, emerging technology projects.
     
    Early projects have explored the use of the IoT to support ground-breaking experiences, and how next-generation technologies like AI can accelerate and streamline movie production
  • To showcase the new ways that robots and humans can work together, the San Francisco Lab took the Human Robot Teaming System (HRTS) (originally developed for a café retail scenario) and extended it with Industry X.0 digital twin technology.
     
    The result was a first-of-its-kind human-robot teaming system which the Lab demoed at the 2018 Hannover Messe conference.
     
    With integrated IoT sensors providing enhanced situational awareness, the demonstration showed how robots can perform multi-modal interactions in more complex scenarios with their human teammates.
  • Partnering with a leading digital experiences agency, the Sophia Antipolis Lab developed a “teleportation” app to support collaborative working from disparate locations.
     
    Using VR, the app enables users to connect from any location and be immersed in a dedicated meeting room complete with advanced collaboration functionality.
     
    As well as interacting via digital avatars, participants can share documents, invite live presenters into the environment and be connected to virtual Accenture Labs showcases, or tour remote Labs in 3D.
  • The next phase of robotic automation is here.
     
    We showed energy companies how robotics can be used to test smart meter firmware updates. By replacing the role of a human tester with a robotic gantry system, we created a proof of concept able to automate all physical interaction with metering devices. It freed the workforce from a laborious activity, and dramatically improved testing efficiency.
     
    Working with a global tech company, we are also developing a use case and roadmap for the deployment of robots in a data center. The goal is to improve efficiency, safety, security, and reduce operating costs.
  • In collaboration with Intel and the Tel Aviv Stock Exchange (TASE), Accenture Labs helped develop a blockchain-based securities lending proof of concept.
     
    Leveraging the ability of Intel’s Sawtooth Lake blockchain platform to integrate ‘smart contracts’, the project aims to create a new kind of marketplace for securities lending.
     
    Labs were instrumental in ensuring Security by Design principles were embedded in the project from the outset, accelerating development without sacrificing security.
  • This year, the Washington D.C. Cyber Lab developed a new analytics tool capable of labeling security alerts based on the phase of the cyber-attack “kill chain” that the intruder has reached e.g. reconnaissance, weaponization, delivery, exploitation, installation, command and control, or actions on objective.
     
    The Lab built an ICS research testbed and tested a proof of concept which can accurately identify the right kill chain phase and network architectural layer, enabling cyber-defenders to quickly move to the most critical alerts.
     
    The team have also developed in-house machine learning algorithms, and used Splunk ML capabilities to enhance the labeling mechanism.
  • Money laundering remains a major, global challenge. But even as AML regulations get tougher, today’s mostly manual, rules-based detection processes are still highly inefficient, producing vast numbers of false positives.
     
    The Dublin Lab has been developing proofs of concept that address a range of challenges from entity resolution (understanding that two parties are actually the same) to link analysis (establishing relationships between parties).
     
    The team also proved the value of their solutions by exploring hidden entities and relationships within the Panama Papers and Paradise Papers.
  • To ensure only the highest-quality goods leave the production line, manufacturers often have to deal with laborious, time-consuming and costly activities.
     
    So the Dublin Lab explored how computer vision technologies can help ensure quality at speed and scale.
     
    Working with Faurecia, a leading automotive supplier, they created a system that uses deep learning to detect missing accessories and the extent of wrinkles on newly assembled car seats to determine whether rework is required.
     
    The solution is now set to be scaled up to a wide number of potential industrial applications.
  • In partnership with the Grameen Foundation India, the Bangalore Lab developed two innovations.

    EASE (Emotion Analytics for Social Enterprises) is a mobile and web app that uses AI to glean key insights into the mental state of an individual. This helps microfinance advisers spot if any undue pressure is being placed on female loan applicants and also helps organizations identify the right talent for recruitment and career progression.

    Grameen Guru is a tool that uses AR, image recognition, and a multilingual chatbot to help those with limited literacy understand financial products and services.
  • In conjunction with Stanford University, the San Francisco Lab is using knowledge-based machine learning techniques to help the authorities uncover human trafficking.

    They are working together on a tool that processes the huge numbers of advertisements for escort services which recognizes suspicious features (such as unusual pricing or location).

    The end result is that partners have created a solution which will ultimately be used to focus enforcement resources on the cases most likely to involve trafficking victims.
  • At the Pune Red Cross Society’s School for the Deaf, helping hard-of-hearing dance students distinguish between subtle rhythms can be tough.

    So the Bangalore Lab teamed up with BleeTech, creators of the BleeWatch, which enables wearers to feel the music through haptic feedback.
    However, BleeTech could only extract and program the rhythmic patterns for each song manually, limiting the range of music available.

    So we used state-of-the-art music analysis to enable them to automatically extract the beat pattern and tempo of any piece of music, and also ensured multiple BleeWatches could be synchronized to the same beat for group lessons.
  • At the Pune Red Cross Society’s School for the Deaf, helping hard-of-hearing dance students distinguish between subtle rhythms can be tough.

    So the Bangalore Lab teamed up with BleeTech, creators of the BleeWatch, which enables wearers to feel the music through haptic feedback.
    However, BleeTech could only extract and program the rhythmic patterns for each song manually, limiting the range of music available.

    So we used state-of-the-art music analysis to enable them to automatically extract the beat pattern and tempo of any piece of music, and also ensured multiple BleeWatches could be synchronized to the same beat for group lessons.
  • The Labs regulatory technologies initiative and Accenture Technology Centers India Financial Services developed a “smart risk advisor” prototype to help our clients build competitive differentiation around regulatory constraints.

    By helping risk managers instantly spot emerging risks and recommending mitigating actions, the advisor has the potential to make a significant difference in regulatory compliance and was recognized by the judges at the GTIC 18 Awards.

    We also developed a proof of concept to showcase how blockchain could streamline banks’ compliance with evolving laws and regulations.

    Scaled up, the solution would enable the regulator to access every report instantly, perform history checks and make faster and more accurate predictions about banks at risk of failure.
  • The Labs Industry X.0 have been developing an Engineering Data Digitization tool, using AI to automate the process of digitizing engineering documents and integrate their insights into a knowledge graph.

    By releasing valuable data trapped in images and hard copy, the knowledge-capturing tool ensures IoT solutions can make sense of the context of asset data.

    Labs also developed a new Intelligent Trend Detection tool to help clients transform product development by spotting upcoming trends in their industry, even if they don’t know precisely what to look for.

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