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Digital transformation
1.
Leader in Digital
Transformation Compiled By: Anshuman Acharya Innovation Centers: How Incumbents are nurturing digital innovation globally
2.
© Capgemini Consulting
2017. All rights reserved. 2 The project focuses on the role of Innovation Centers and their increasing importance in driving digital transformation in the global scenario Innovation Centers: Incumbents are nurturing digital innovation globally Description Project Overview Innovation centers catering to the needs of a digital revolution within or outside the company have become the much needed platform firms have been looking for Background of the project lays out the concrete database and trend analysis of Innovation centers across the world in the last few years, while studying their cause, pattern and impact on current business scenario Background of the project The market findings are a comprehensive representation of the direction of development in the global business scenario The scope of the project extends beyond the innovation in sectors and may focus on individual technologies implemented to drive innovation Scope of the project Data Validation: Innovation and research, often involve behind the scenes operations which makes it difficult accumulating accurate data about the centers Data Authentication: Acknowledgement of data in its truest form and maintain uniformity through all data points Data Representation: Depicting scattered data elements in a coherent, understandable manner Challenges faced Objectives of the project The primary objective of the project is to capture the latest Innovation centers launched by firms across various sectors and analyze the market findings The secondary objective requires the identification of pattern, correlating of trends and formulating forecasts based on concrete data findings
3.
Characteristics of an
Innovation Center Key Challenges Decoding the Innovation Center DNA Every innovation must have a trigger point, a medium of execution and a platform to grow in future © Capgemini Consulting 2017. All rights reserved. 3 Recognizing the true purpose and future propositions in the centers Elimination of data not fit for the scope of the project Capturing actual geographic spread of centers of innovation Magnifying the subtle reasons for geographic likeliness of projects Sifting of cluttered data on a time frame basis Checking actuation of previous announcements Identifying specificity of technical implications in Innovation centers Establish concrete reason for choice of digital platform Checking digital credibility Factors of influence Adherence to time frame Technological implications Elimination of Redundancy Innovation pertaining strictly to last quarter time frame Scope of research must remain within the digital boundaries of innovation WHAT: Recognizing the format of operation and way of execution WHY: Understanding the primary objective of Innovation centers WHERE: Identifying region and geographic significance of location of centers WHEN: Capturing launch and announcement dates HOW: Analysis of the technology used and their sustainability
4.
Trend Analysis: Innovation
Center profile A comprehensive study and analysis of Innovation Centers of the world reveal some typical and thought provoking trends and patterns which may pave the way for future innovations © Capgemini Consulting 2017. All rights reserved. 4 Trends Observed Analytical Inference The Innovation Exodus In-house Vs Outsourced Contrary to the Accelerators programs boom two years ago, In-house innovation mode of approach has taken a front seat Tie-ups with world class universities of Technology have proved to be reason for proximity of innovation outposts to universities Partnerships: Key to Innovation Asia-PacifichasemergedasthemoreprevalentchoiceforInnovationCenters North America 34% AsiaPacific 37% Europe 14% NotAvailable 8% Africa 5% Australia 2% NOV’16-APRIL’17 AFRICA 5% EUROPE 16% NORTH AMERICA 42% ASIA 31% TILLNOV-16 APACregionhasaccountedformaximumnumberofInnovationCenters,leavingbehindEuropeandAmericainthelasttwoyears. Emergingcities Shenzhen TelAviv Nanyang Wellington Sydney Asiaaccountsforoverhalf(56%) oftheworld’stotalpatentgrants. Duringthelastdecade(2005-15), Europe’sshareofglobalpatent grantshasfallenfrom24%to 13%.Clearlythemajortalent poolliesinAsia. PatentedTalent Thrivingstart-upculture Diversetechnologyaccess R&DInvestment CountrieslikeIndia,Singapore haveadoptedstartupfriendly policiessuchasgrants,incentives andloanstobuildaplatformfor thebuddingTechnopreneurs Asianindustriesthrivingoncurrent technologysuchasA.I.,IoT.4out of9A.I.orientedcentersarein China.Asiaoffersfasterand cheaperaccesstovarious technologies Singapore’sbusinessexpenditure onR&DhasgrownfromS$0.3 billionin1990to$6.2billionin 2016.China’scurrentR&D spendingaveragegrowthrateis 18.3%,muchhigherthan Europe(4%)orNorthAmerica 12 28 8 36 13 25 7 10 0 5 10 15 20 25 30 35 40 InnovationOutpost In-houseInnovationLabs UniversityResidence Accelerators TypesofInnovationCenters Nov'16-April'17 TillNov'16 Incumbentgiantsareoptingforin-houseinnovationsmorethanever UniversityResidentialprograms Thehot-spotofInnovation Multi-disciplinarycapabilities Shiftingfocusonreallife problems Placeoftechnologicallytrainedminds oftheworld In-HousePreferences AccesstoCustomerdatabase Skillenhancementofworkforce Venturingintonewbusinesses Outpostbenefits Workingoffthebalancesheet Exclusivetechnologicalexpertise Collaboration,M&AandJVshave positiveimpactonshareholders Acceleratorsoraggregators primaryobjectivetoattractnumerous start-upsandothertechnologically inclinedresearchunits, Innovation Centertypes Whyareacceleratorsfailing? Internalacceleratorstakealotintermsofresourcesandperson-powertomanage. TheyrequireheavyR&D,extensiveprepwork,andahigh-touchapproachtoprogramadministration Lackofmeasurablestrategy,goalsandworkingmodel Inabilitytoconjureto‘active’investorswithcredibility Actionorientedshorttermprojectionsofcorporateskillsthesparkofinnovationwithpotentialforvaluecreation Partnershipprovestobethemostpreferredmodelofinnovationforbigfirms Innovationcentersestablishedinequalnumbers,throughinternalprogramsaswellasstrikingstrategicpartnerships 15 4 6 5 0 2 4 6 8 10 12 14 16 INHOUSE ACCELERATOR OUTPOST UNIVERSITY Interestingly, 80% of partnerships have the common primary objective of “New product/conceptdevelopment” AcceleratorandInnovationoutpostsaccountformorethan60%ofthepartnershipdeals Financial funding and access to newer technology such as IoT, Big Data, Fintech are the primaryreasonsforpartnerships Outof29partnershipmodelsofinnovationcenters,14areIn-houseinnovationhubs Amajority,15ofthepartnershipsestablishedinAsia-Pacificregion 14 8 6 1 0 2 4 6 8 10 12 14 16 ASIA NORTH AMERICA EUROPE AFRICA 38 14 0 29 28 4 0 5 10 15 20 25 30 35 40 Internal Partnership NotAvailable ModeofInnovationprograms Feb'16-Oct'16 Nov'16-Apri'16 InnovationthroughPartnership(Nov’16-Apr’17) Asia-Pacific region has edged past North America in number of innovation centers built or operated A staggering 27 innovation centers launched in Asia in the last quarter Bangalore in India, China with Shenzhen and Guangzhou and Singapore have emerged as a new favorites Over crowded Silicon Valley hubs Go to the source, rather than extract resources New drive of innovation investments Innovation accelerators, rampant a few years ago, have now subdued, due to lack of vision and funding Big firms are cultivating In-house innovation centers with outside technological assist to expand expertise Innovation through a partnership model is the more prevalent choice of execution Assistance on platforms such as Big Data, IoT, A.I. and Fintech, for new product/concept development are the primary reason for 80% of partnerships have the common primary objective of “New product/concept development” A majority of the partnership innovation programs are established in Asia-Pacific
5.
Trend Analysis: Riding
the Digital Wave © Capgemini Consulting 2017. All rights reserved. 5 Trends Observed Analytical Inference Innovation centers in auto-sector saw a jump from 5 centers to a staggering 15 new centers opened in the last quarters Urban Mobility and Autonomous driving are the key areas of focus where A.I. is being implemented Customer participation and design feedbacks are crucial to research and innovation Focus shifted from new product development to customer experience enhancement Digital Transformers: Future heroes AUTO: King of Sectors Customer driven Innovation AreaoffocusinInnovationCentersacrosssectors 0 1 2 3 4 5 6 7 8 9 10 NOV'16-APR'17 BigData IoT CloudComputing Mobility A.I. Automotivesectorhasseenthemostintenseandrapidimplementationofdigitizationprocesses UrbanMobilityisthestandoutconcept,with9outof14automotiveinnovationcentersstatingitastheirprimaryobjective Bankingsectorisinvestingequallyinthethreemainstaysofdigitizationi.e.BigData,CloudandIoT,withemphasisoncyber-securityandcustomer userexperienceenhancement FocushasshiftedfromnewProductorConceptdevelopmenttoEnhancedcustomerexperience NewProduct/Concept Development,Product Innovation 27% EnhanceCustomerExperience 18% Partneringwith Ecosystem 25% ImproveOperational Efficiency 11% DesigningNew BusinessModels 5% Developingan InnovationCulture withintheOrganization 14% ICDISTRIBUTION-OBJECTIVE (OCT2016-MAY2017) NewProduct /Concept Development ,Product Innovation 41% EnhanceCustomer Experience 11% Partneringwith Ecosystem 32% ImproveOperational Efficiency 6% DesigningNew BusinessModels 6% DevelopinganInnovation Culturewithinthe Organization 3% Others 1% ICDISTRIBUTION-OBJECTIVE (MAR2016-OCT2016) Developing InnovationCulture within Organisation New Product/Concept Development ProductInnovation The prime objective behind setting up an IC by a manufacturing company is not only for outright innovation, but also improving operationalefficiencyandenhancedcustomerexperience Although there has been a drop in the overall objective of Partnering with Eco-system, still accelerator type IC has been the preferred one, thankstothereducedtimeofoperationsandfocusedinnovation. Increasedconcentrationofcompaniestowardsoutrightinnovation(only) rather than focusing on other parameters has led to the hike in the objectiveofDevelopinganInnovationCulturewithintheOrganisation. IC’s were prominently seen in companies serving B2C business rather than B2B business, where end customers play a critical role, thus directlyimpactingthe overallperceptionaswellasthebusinessofthe company. CustomerEccentricity:InnovationCenterstodayaredrivenbyobjectiveofenhancingcustomerexperience Automobiles:Inthedriverseatofinnovationcenters “UrbanMobility”istheprimaryobjectivefor9outof14centers 7 out of 14 centers are In-house programs, with most of them aiming at “new product/conceptdevelopment” Automotive sector emerges as the busiest sector with regard to innovation researchusingA.I. Urban Mobility and Autonomous driving are the key areas of focus where A.I. is beingimplemented InvestmentsinA.I.basedinnovationforecastedtoreach$37.8billioninthenext10 years ArtificialIntelligence:ThetopgearinAutoWorld 644 833 6172 21178 38521 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 2014 2016 2018 2020 2022 2024 2026 ForecastedinvestmentinA.I.($Million) Source:Statistica,Tractica NationalAutomotiveInnovationCentre •OpenedatUniversityofWarwickin2017byTATAMOTORS •A.I.basedmostadaptableandadvancedfullyimmersivedrive-incar simulator. NissanResearchCenterSiliconValley(NRC-SV),California •A.I.basedAutonomous vehicleandconnected carsarekeyfocus • Renault-Nissantolaunchmorethan10vehicleswithautonomous drive technology UberAILabs •Uber’snewdivisionbasedinSanFrancisco •CoreteamformedbyacquiringGeometricIntelligence,anA.I.start-up VolkswagenAutomotiveInnovationLab(VAIL) •PartnershipwithStanfordArtificialIntelligenceLab •DeepLearningandcomputer visiontoautomatedrivingprocess 14 11 2 5 7 12 2 5 1 1 0 5 10 15 20 25 30 Innovationcenterslaunched Feb'16-Oct'16 Nov'16-Apr'17 Innovationcentersinauto-sectorsawajumpfrom5centerstoastaggering15new centersopenedinthelastquarter Leader’sTalk “The disruptive triangle of autonomous drive technology, electric vehicles, connected cars andservicesmeanwewillseemorechangein the next 10 years than we did in the last 50 years.” -CES’17KEYNOTEADDRESSbyCarlosGhosn, CEO-Nissan Big Data’ and ‘IoT’ lead the pack among key focus areas of Innovation Centers A.I., to be the next big thing in the future with major investments in the platform for its urban mobility and interactive infotainment system Future investments expected in large figures for A.I. powered innovation campaigns by major car manufacturers Automated driverless technology and fully interactive infotainment system are key areas of innovation focus Innovation to be driven more by customer experience and necessity, rather than firm’s think tank Customer experience enhancement programs have resulted in cultivation of innovation culture within the Automotive and manufacturing sector have registered the most intense and rapid implementation of digitization processes Banking sector is the newest member to join the innovation drive, with implementation of Big Data analytics and cyber security modules Auto sector taking the front seat, with a customer driven market emphasizing the need for digital transformation
6.
Learnings and Insights ©
Capgemini Consulting 2017. All rights reserved. 6 Insights into Innovation Understanding scope of project Recognizing the potential and scope of conclusions and their relevance for future study on the subject Documenting potential analysis of upcoming trends Establishing good practices Laying future roadmap Citing potential future areas of research and study Follow up of profiled companies with credible innovation pedigree Lessons on job Time Management Establishing milestones for project completion within stipulated time of internship duration Simultaneous work on data search and sorting, along with deck alignment modifications Data search and sorting Research alignment with project Maintaining consistency of extracted data and analysis with objective and scope of the project Sifting through irrelevant conclusions to prepare storyline for deck Studying multiple reports to establish degree of credibility of source before locking facts and figures Capturing of database compatible information from multiple resources Creating process flowchart with help of inputs from colleagues to map the work flow Establishing credible source database for future findings
7.
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